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wikipedia | Artificial intelligence | https://en.wikipedia.org/wiki/Artificial_intelligence | Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in engineering, mathematics, and computer science that develops and studies meth... | Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in engineering, mathematics, and computer science that develops and studies meth... | {} |
wikipedia | List of artificial intelligence journals | https://en.wikipedia.org/wiki/List_of_artificial_intelligence_journals | This is a list of notable peer-reviewed academic journals that publish research in the field of artificial intelligence (AI), including areas such as machine learning, computer vision, natural language processing, robotics, and intelligent systems. | This is a list of notable peer-reviewed academic journals that publish research in the field of artificial intelligence (AI), including areas such as machine learning, computer vision, natural language processing, robotics, and intelligent systems.
== General artificial intelligence ==
Artificial Intelligence (journa... | {} |
wikipedia | 2025–present global memory supply shortage | https://en.wikipedia.org/wiki/2025–present_global_memory_supply_shortage | A global computer memory supply shortage started in 2025 due to supply constraints and rapid price escalation in the semiconductor memory market, particularly affecting DRAM and NAND flash integrated circuits. This shortage has been referred to in media outlets as "RAMmageddon" or the "RAMpocalypse". Unlike the 2020–20... | A global computer memory supply shortage started in 2025 due to supply constraints and rapid price escalation in the semiconductor memory market, particularly affecting DRAM and NAND flash integrated circuits. This shortage has been referred to in media outlets as "RAMmageddon" or the "RAMpocalypse". Unlike the 2020–20... | {} |
wikipedia | The 2028 Global Intelligence Crisis | https://en.wikipedia.org/wiki/The_2028_Global_Intelligence_Crisis | The 2028 Global Intelligence Crisis is a report authored by James van Geelen and Alap Shah and published by Citrini Research in February 2026, on the impact of artificial intelligence on humanity's future. Written in the form of a scenario analysis, it was viewed millions of times online and reportedly caused a fall in... | The 2028 Global Intelligence Crisis is a report authored by James van Geelen and Alap Shah and published by Citrini Research in February 2026, on the impact of artificial intelligence on humanity's future. Written in the form of a scenario analysis, it was viewed millions of times online and reportedly caused a fall in... | {} |
wikipedia | Actor-critic algorithm | https://en.wikipedia.org/wiki/Actor-critic_algorithm | The actor-critic algorithm (AC) is a family of reinforcement learning (RL) algorithms that combine policy-based RL algorithms such as policy gradient methods, and value-based RL algorithms such as value iteration, Q-learning, SARSA, and TD learning. | The actor-critic algorithm (AC) is a family of reinforcement learning (RL) algorithms that combine policy-based RL algorithms such as policy gradient methods, and value-based RL algorithms such as value iteration, Q-learning, SARSA, and TD learning.
An AC algorithm consists of two main components: an "actor" that deter... | {} |
wikipedia | Admissible heuristic | https://en.wikipedia.org/wiki/Admissible_heuristic | In computer science, specifically in algorithms related to pathfinding, a heuristic function is said to be admissible if it never overestimates the cost of reaching the goal, i.e. the cost it estimates to reach the goal is not higher than the lowest possible cost from the current point in the path. In other words, it s... | In computer science, specifically in algorithms related to pathfinding, a heuristic function is said to be admissible if it never overestimates the cost of reaching the goal, i.e. the cost it estimates to reach the goal is not higher than the lowest possible cost from the current point in the path. In other words, it s... | {} |
wikipedia | Agent experience | https://en.wikipedia.org/wiki/Agent_experience | Agent experience (AX) is the design of digital environments in which AI agents can understand, navigate, and act effectively. The term can also refer to the appearance and affordances of an environment from a machine-user's point of view. In other words, the experience AI agents have as users of platforms and products;... | Agent experience (AX) is the design of digital environments in which AI agents can understand, navigate, and act effectively. The term can also refer to the appearance and affordances of an environment from a machine-user's point of view. In other words, the experience AI agents have as users of platforms and products;... | {} |
wikipedia | Agent harness | https://en.wikipedia.org/wiki/Agent_harness | An agent harness, also known as agent scaffolding, is the software infrastructure surrounding a large language model (LLM) that enables it to operate as an AI agent. It manages tool use, memory, state persistence, execution environments and feedback loops, as opposed to the model's internal reasoning. The UK's AI Secu... | An agent harness, also known as agent scaffolding, is the software infrastructure surrounding a large language model (LLM) that enables it to operate as an AI agent. It manages tool use, memory, state persistence, execution environments and feedback loops, as opposed to the model's internal reasoning. The UK's AI Secu... | {} |
wikipedia | Agent verification | https://en.wikipedia.org/wiki/Agent_verification | Agent verification is an activity to gain assurances that purposeful artificial constructs act in accordance with their specifications. While primitive forms of inorganic agents have been used in manufacturing for centuries, the study of artificial agents did not begin until the mid 20th century. Foundational work on s... | Agent verification is an activity to gain assurances that purposeful artificial constructs act in accordance with their specifications. While primitive forms of inorganic agents have been used in manufacturing for centuries, the study of artificial agents did not begin until the mid 20th century. Foundational work on s... | {} |
wikipedia | AI agent | https://en.wikipedia.org/wiki/AI_agent | An AI agent, also known as agentic AI, is an artificial intelligence program that can pursue goals, use software or other tools, and take actions with some level of autonomy. Agentic AI contrasts with tool-like AI use for narrow, specific tasks such as answering questions - as with chatbots in the non-agentic forms tha... | An AI agent, also known as agentic AI, is an artificial intelligence program that can pursue goals, use software or other tools, and take actions with some level of autonomy. Agentic AI contrasts with tool-like AI use for narrow, specific tasks such as answering questions - as with chatbots in the non-agentic forms tha... | {} |
wikipedia | AI alignment | https://en.wikipedia.org/wiki/AI_alignment | In the field of artificial intelligence (AI), alignment aims to steer AI systems toward a person's or group's intended goals, preferences, or ethical principles. An AI system is considered aligned if it advances the intended objectives. A misaligned AI system pursues unintended objectives. | In the field of artificial intelligence (AI), alignment aims to steer AI systems toward a person's or group's intended goals, preferences, or ethical principles. An AI system is considered aligned if it advances the intended objectives. A misaligned AI system pursues unintended objectives.
It is often difficult for AI ... | {} |
wikipedia | AI anthropomorphism | https://en.wikipedia.org/wiki/AI_anthropomorphism | AI anthropomorphism is the attribution of human-like feelings, mental states, and behavioral characteristics to artificial intelligence systems. Factors related to the user of the AI – such as culture, age, education, gender, and personality traits – are also important determinants of the strength of anthropomorphic ef... | AI anthropomorphism is the attribution of human-like feelings, mental states, and behavioral characteristics to artificial intelligence systems. Factors related to the user of the AI – such as culture, age, education, gender, and personality traits – are also important determinants of the strength of anthropomorphic ef... | {} |
wikipedia | AI browser | https://en.wikipedia.org/wiki/AI_browser | An AI browser is a web browser with integrated artificial intelligence capabilities, such as automatically summarizing web page content or answering questions about it. A more specialized type is an agentic browser, based on the concept of agentic AI, which can take actions – such as navigating webpages or filling out ... | An AI browser is a web browser with integrated artificial intelligence capabilities, such as automatically summarizing web page content or answering questions about it. A more specialized type is an agentic browser, based on the concept of agentic AI, which can take actions – such as navigating webpages or filling out ... | {} |
wikipedia | AI build-out financing | https://en.wikipedia.org/wiki/AI_build-out_financing | To finance the build-out of AI data centres during the 2020s, an unprecedented amount of capital has been mobilised in the USA in particular amid a broad competition for global technnological supremacy in artificial intelligence. | To finance the build-out of AI data centres during the 2020s, an unprecedented amount of capital has been mobilised in the USA in particular amid a broad competition for global technnological supremacy in artificial intelligence.
Citigroup forecast that $2.8 trillion of capital expenditure would be required for AI dat... | {} |
wikipedia | The AI Con | https://en.wikipedia.org/wiki/The_AI_Con | The AI Con: How to Fight Big Tech's Hype and Create the Future We Want is a 2025 non-fiction book by linguist Emily M. Bender and sociologist Alex Hanna. It argues that "artificial intelligence" is a misleading term that obscures ordinary automation while concentrating power in a small number of technology firms. The b... | The AI Con: How to Fight Big Tech's Hype and Create the Future We Want is a 2025 non-fiction book by linguist Emily M. Bender and sociologist Alex Hanna. It argues that "artificial intelligence" is a misleading term that obscures ordinary automation while concentrating power in a small number of technology firms. The b... | {} |
wikipedia | AI data center | https://en.wikipedia.org/wiki/AI_data_center | An AI data center is a specialized data center facility designed for the computationally intensive tasks of training and running artificial intelligence (AI) and machine learning models. Unlike general-purpose data centers, they are often optimized for the parallel processing demands of AI workloads, typically using ha... | An AI data center is a specialized data center facility designed for the computationally intensive tasks of training and running artificial intelligence (AI) and machine learning models. Unlike general-purpose data centers, they are often optimized for the parallel processing demands of AI workloads, typically using ha... | {} |
wikipedia | AI effect | https://en.wikipedia.org/wiki/AI_effect | The AI effect is a phenomenon in which advances in artificial intelligence lead to a redefinition of what is considered intelligence, such that capabilities achieved by AI systems are no longer regarded as examples of "real" intelligence. | The AI effect is a phenomenon in which advances in artificial intelligence lead to a redefinition of what is considered intelligence, such that capabilities achieved by AI systems are no longer regarded as examples of "real" intelligence.
The concept has been used to describe both a cognitive tendency and a sociotechni... | {} |
wikipedia | AI infrastructure | https://en.wikipedia.org/wiki/AI_infrastructure | AI infrastructure comprises the physical and software systems used to develop, train, deploy and operate artificial intelligence (AI) models and applications. In a narrow sense, the term refers to the physical computing resources that underpin AI, including semiconductors, processors, memory, servers, storage, networki... | AI infrastructure comprises the physical and software systems used to develop, train, deploy and operate artificial intelligence (AI) models and applications. In a narrow sense, the term refers to the physical computing resources that underpin AI, including semiconductors, processors, memory, servers, storage, networki... | {} |
wikipedia | AI safety | https://en.wikipedia.org/wiki/AI_safety | AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence systems. It encompasses AI alignment (which aims to ensure AI systems behave as intended), monitoring AI systems for risks, and enhancing their robustness. The field is par... | AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence systems. It encompasses AI alignment (which aims to ensure AI systems behave as intended), monitoring AI systems for risks, and enhancing their robustness. The field is par... | {} |
wikipedia | AI scribe | https://en.wikipedia.org/wiki/AI_scribe | AI scribes (artificial intelligence scribes) in medicine (also called automated medical scribes, digital scribes, virtual scribes, ambient AI scribes, ambient voice technologies, AI documentation assistants, and digital/virtual/smart clinical assistants) are tools for transcribing and summarising patient consultations ... | AI scribes (artificial intelligence scribes) in medicine (also called automated medical scribes, digital scribes, virtual scribes, ambient AI scribes, ambient voice technologies, AI documentation assistants, and digital/virtual/smart clinical assistants) are tools for transcribing and summarising patient consultations ... | {} |
wikipedia | AI sovereignty | https://en.wikipedia.org/wiki/AI_sovereignty | AI sovereignty is a country's or organization's capacity to control their artificial intelligence (AI) technology. This may cover foundational model algorithms, training data, compute infrastructure, applications, governance policies, and talent pipelines. | AI sovereignty is a country's or organization's capacity to control their artificial intelligence (AI) technology. This may cover foundational model algorithms, training data, compute infrastructure, applications, governance policies, and talent pipelines.
As both public and private organizations adopt AI technology, t... | {} |
wikipedia | AI washing | https://en.wikipedia.org/wiki/AI_washing | AI washing is a deceptive marketing tactic that consists of promoting a product or a service by overstating the role of artificial intelligence (AI) and the integration of it. Companies often involve in the practice to mislead customers to boost their offerings, and to secure funding from investors. The practice raises... | AI washing is a deceptive marketing tactic that consists of promoting a product or a service by overstating the role of artificial intelligence (AI) and the integration of it. Companies often involve in the practice to mislead customers to boost their offerings, and to secure funding from investors. The practice raises... | {} |
wikidata | artificial intelligence | https://www.wikidata.org/wiki/Q11660 | field that develops and studies software enabling machines to exhibit intelligent behavior | field that develops and studies software enabling machines to exhibit intelligent behavior | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q4801030 | journal published by Elsevier | journal published by Elsevier | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q128447 | 1985 studio album by John Cale | 1985 studio album by John Cale | {
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wikidata | A.I. Artificial Intelligence | https://www.wikidata.org/wiki/Q221113 | 2001 film directed by Steven Spielberg | 2001 film directed by Steven Spielberg | {
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wikidata | Artificial Intelligence in Medicine | https://www.wikidata.org/wiki/Q15751143 | journal | journal | {
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wikidata | artificially intelligent entity | https://www.wikidata.org/wiki/Q107307291 | intelligent actor with unnatural origin | intelligent actor with unnatural origin | {
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wikidata | artificial intelligence researcher | https://www.wikidata.org/wiki/Q15976092 | researcher in the field of artificial intelligence | researcher in the field of artificial intelligence | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q2865784 | series of albums by Warp Records | series of albums by Warp Records | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q114471135 | episode of All of Us (S4 E14) | episode of All of Us (S4 E14) | {
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wikidata | ethics of artificial intelligence | https://www.wikidata.org/wiki/Q12727779 | ethics of technology specific to robots and other artificially intelligent beings | ethics of technology specific to robots and other artificially intelligent beings | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q4801033 | 1992 compilation album; various artists | 1992 compilation album; various artists | {
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wikidata | ISO/IEC JTC 1/SC 42: Artificial intelligence | https://www.wikidata.org/wiki/Q98148785 | subcommittee of a technical committee | subcommittee of a technical committee | {
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wikidata | Artificial Intelligence Review | https://www.wikidata.org/wiki/Q15751393 | journal | journal | {
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wikidata | Artificial Intelligence and Law | https://www.wikidata.org/wiki/Q15764091 | journal | journal | {
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wikidata | artificial intelligence in healthcare | https://www.wikidata.org/wiki/Q28324961 | use of complex algorithms and software to approximate human cognition in the analysis of complicated medical data | use of complex algorithms and software to approximate human cognition in the analysis of complicated medical data | {
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wikidata | Artificial Intelligence for Engineering Design, Analysis and Manufacturing | https://www.wikidata.org/wiki/Q15756762 | journal | journal | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q28451730 | song performed by OneRepublic | song performed by OneRepublic | {
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wikidata | artificial intelligence in fiction | https://www.wikidata.org/wiki/Q25933185 | artificial intelligence as depicted in works of fiction | artificial intelligence as depicted in works of fiction | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q109875730 | 2021 EP by Tom Cardy | 2021 EP by Tom Cardy | {
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wikidata | artificial intelligence model | https://www.wikidata.org/wiki/Q117349473 | individual artificial neural network considered intelligent | individual artificial neural network considered intelligent | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q125635217 | book by Patrick Henry Winston | book by Patrick Henry Winston | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q87283148 | episode of In Our Time (2005) | episode of In Our Time (2005) | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q87284561 | episode of In Our Time (1999) | episode of In Our Time (1999) | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q124545019 | episode of Tyler Perry's Young Dylan (S4 E5) | episode of Tyler Perry's Young Dylan (S4 E5) | {
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wikidata | Artificial intelligence | https://www.wikidata.org/wiki/Q141067689 | chapter of the 2026 book Practicing Digital Ethnography | chapter of the 2026 book Practicing Digital Ethnography | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q138494686 | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q110262625 | Stack Exchange site for people interested in conceptual questions about life and challenges in a world where "cognitive" functions can be mimicked in purely digital environment | Stack Exchange site for people interested in conceptual questions about life and challenges in a world where "cognitive" functions can be mimicked in purely digital environment | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q125808957 | Textbook of Computer | Textbook of Computer | {
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wikidata | Artificial Intelligence | https://www.wikidata.org/wiki/Q132394650 | Radio Drama based on Doctor Who | Radio Drama based on Doctor Who | {
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wikidata | artificial intelligence visual art | https://www.wikidata.org/wiki/Q65066631 | genre of art | genre of art | {
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arxiv | The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligence | http://arxiv.org/abs/2110.01831v1 | We attempt to define what is necessary to construct an Artificial Scientist, explore and evaluate several approaches to artificial general intelligence (AGI) which may facilitate this, conclude that a unified or hybrid approach is necessary and explore two theories that satisfy this requirement to some degree. | We attempt to define what is necessary to construct an Artificial Scientist, explore and evaluate several approaches to artificial general intelligence (AGI) which may facilitate this, conclude that a unified or hybrid approach is necessary and explore two theories that satisfy this requirement to some degree. | {} |
arxiv | Compression, The Fermi Paradox and Artificial Super-Intelligence | http://arxiv.org/abs/2110.01835v1 | The following briefly discusses possible difficulties in communication with and control of an AGI (artificial general intelligence), building upon an explanation of The Fermi Paradox and preceding work on symbol emergence and artificial general intelligence. The latter suggests that to infer what someone means, an agen... | The following briefly discusses possible difficulties in communication with and control of an AGI (artificial general intelligence), building upon an explanation of The Fermi Paradox and preceding work on symbol emergence and artificial general intelligence. The latter suggests that to infer what someone means, an agen... | {} |
arxiv | Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework | http://arxiv.org/abs/2204.10358v1 | Creative Problem Solving (CPS) is a sub-area within Artificial Intelligence (AI) that focuses on methods for solving off-nominal, or anomalous problems in autonomous systems. Despite many advancements in planning and learning, resolving novel problems or adapting existing knowledge to a new context, especially in cases... | Creative Problem Solving (CPS) is a sub-area within Artificial Intelligence (AI) that focuses on methods for solving off-nominal, or anomalous problems in autonomous systems. Despite many advancements in planning and learning, resolving novel problems or adapting existing knowledge to a new context, especially in cases... | {} |
arxiv | A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? | http://arxiv.org/abs/2304.04780v1 | Artificial intelligence (AI) models are increasingly finding applications in the field of medicine. Concerns have been raised about the explainability of the decisions that are made by these AI models. In this article, we give a systematic analysis of explainable artificial intelligence (XAI), with a primary focus on m... | Artificial intelligence (AI) models are increasingly finding applications in the field of medicine. Concerns have been raised about the explainability of the decisions that are made by these AI models. In this article, we give a systematic analysis of explainable artificial intelligence (XAI), with a primary focus on m... | {} |
arxiv | Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach | http://arxiv.org/abs/1301.2158v1 | In the modern healthcare system, rapidly expanding costs/complexity, the growing myriad of treatment options, and exploding information streams that often do not effectively reach the front lines hinder the ability to choose optimal treatment decisions over time. The goal in this paper is to develop a general purpose (... | In the modern healthcare system, rapidly expanding costs/complexity, the growing myriad of treatment options, and exploding information streams that often do not effectively reach the front lines hinder the ability to choose optimal treatment decisions over time. The goal in this paper is to develop a general purpose (... | {} |
arxiv | Modeling Belief in Dynamic Systems, Part II: Revision and Update | http://arxiv.org/abs/cs/9903016v1 | The study of belief change has been an active area in philosophy and AI. In recent years two special cases of belief change, belief revision and belief update, have been studied in detail. In a companion paper (Friedman & Halpern, 1997), we introduce a new framework to model belief change. This framework combines t... | The study of belief change has been an active area in philosophy and AI. In recent years two special cases of belief change, belief revision and belief update, have been studied in detail. In a companion paper (Friedman & Halpern, 1997), we introduce a new framework to model belief change. This framework combines t... | {} |
arxiv | Study on the Helpfulness of Explainable Artificial Intelligence | http://arxiv.org/abs/2410.11896v1 | Explainable Artificial Intelligence (XAI) is essential for building advanced machine learning-powered applications, especially in critical domains such as medical diagnostics or autonomous driving. Legal, business, and ethical requirements motivate using effective XAI, but the increasing number of different methods mak... | Explainable Artificial Intelligence (XAI) is essential for building advanced machine learning-powered applications, especially in critical domains such as medical diagnostics or autonomous driving. Legal, business, and ethical requirements motivate using effective XAI, but the increasing number of different methods mak... | {} |
arxiv | Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence | http://arxiv.org/abs/2104.13155v2 | This article reviews the "Once learning" mechanism that was proposed 23 years ago and the subsequent successes of "One-shot learning" in image classification and "You Only Look Once - YOLO" in objective detection. Analyzing the current development of Artificial Intelligence (AI), the proposal is that AI should be clear... | This article reviews the "Once learning" mechanism that was proposed 23 years ago and the subsequent successes of "One-shot learning" in image classification and "You Only Look Once - YOLO" in objective detection. Analyzing the current development of Artificial Intelligence (AI), the proposal is that AI should be clear... | {} |
arxiv | Games for Artificial Intelligence Research: A Review and Perspectives | http://arxiv.org/abs/2304.13269v4 | Games have been the perfect test-beds for artificial intelligence research for the characteristics that widely exist in real-world scenarios. Learning and optimisation, decision making in dynamic and uncertain environments, game theory, planning and scheduling, design and education are common research areas shared betw... | Games have been the perfect test-beds for artificial intelligence research for the characteristics that widely exist in real-world scenarios. Learning and optimisation, decision making in dynamic and uncertain environments, game theory, planning and scheduling, design and education are common research areas shared betw... | {} |
arxiv | Artificial Intelligence and Economic Theories | http://arxiv.org/abs/1703.06597v1 | The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence such as the swarming of birds, the working of the brain and the pathfinding of the ants. These techniques h... | The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence such as the swarming of birds, the working of the brain and the pathfinding of the ants. These techniques h... | {} |
arxiv | Linking Artificial Intelligence Principles | http://arxiv.org/abs/1812.04814v1 | Artificial Intelligence principles define social and ethical considerations to develop future AI. They come from research institutes, government organizations and industries. All versions of AI principles are with different considerations covering different perspectives and making different emphasis. None of them can b... | Artificial Intelligence principles define social and ethical considerations to develop future AI. They come from research institutes, government organizations and industries. All versions of AI principles are with different considerations covering different perspectives and making different emphasis. None of them can b... | {} |
arxiv | The Bayesian Reflex: A Predictive Coding Engine for Artificial Intelligence | http://arxiv.org/abs/2608.00492v1 | Predictive coding offers a powerful theory of cortical computation, but corresponding scalable algorithmic implementations for artificial intelligence have remained elusive. This paper introduces the Bayesian reflex, a computational framework that directly instantiates predictive coding through three pillars: belief ma... | Predictive coding offers a powerful theory of cortical computation, but corresponding scalable algorithmic implementations for artificial intelligence have remained elusive. This paper introduces the Bayesian reflex, a computational framework that directly instantiates predictive coding through three pillars: belief ma... | {} |
arxiv | Intelligent behavior depends on the ecological niche: Scaling up AI to human-like intelligence in socio-cultural environments | http://arxiv.org/abs/2103.06769v1 | This paper outlines a perspective on the future of AI, discussing directions for machines models of human-like intelligence. We explain how developmental and evolutionary theories of human cognition should further inform artificial intelligence. We emphasize the role of ecological niches in sculpting intelligent behavi... | This paper outlines a perspective on the future of AI, discussing directions for machines models of human-like intelligence. We explain how developmental and evolutionary theories of human cognition should further inform artificial intelligence. We emphasize the role of ecological niches in sculpting intelligent behavi... | {} |
arxiv | Probability Judgement in Artificial Intelligence | http://arxiv.org/abs/1304.3429v1 | This paper is concerned with two theories of probability judgment: the Bayesian theory and the theory of belief functions. It illustrates these theories with some simple examples and discusses some of the issues that arise when we try to implement them in expert systems. The Bayesian theory is well known; its main idea... | This paper is concerned with two theories of probability judgment: the Bayesian theory and the theory of belief functions. It illustrates these theories with some simple examples and discusses some of the issues that arise when we try to implement them in expert systems. The Bayesian theory is well known; its main idea... | {} |
arxiv | AAAI-2019 Workshop on Games and Simulations for Artificial Intelligence | http://arxiv.org/abs/1903.02172v1 | This volume represents the accepted submissions from the AAAI-2019 Workshop on Games and Simulations for Artificial Intelligence held on January 29, 2019 in Honolulu, Hawaii, USA. https://www.gamesim.ai | This volume represents the accepted submissions from the AAAI-2019 Workshop on Games and Simulations for Artificial Intelligence held on January 29, 2019 in Honolulu, Hawaii, USA. https://www.gamesim.ai | {} |
arxiv | Death and Suicide in Universal Artificial Intelligence | http://arxiv.org/abs/1606.00652v1 | Reinforcement learning (RL) is a general paradigm for studying intelligent behaviour, with applications ranging from artificial intelligence to psychology and economics. AIXI is a universal solution to the RL problem; it can learn any computable environment. A technical subtlety of AIXI is that it is defined using a mi... | Reinforcement learning (RL) is a general paradigm for studying intelligent behaviour, with applications ranging from artificial intelligence to psychology and economics. AIXI is a universal solution to the RL problem; it can learn any computable environment. A technical subtlety of AIXI is that it is defined using a mi... | {} |
arxiv | From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey | http://arxiv.org/abs/2108.11451v4 | This survey explores the integration of learning and reasoning in two different fields of artificial intelligence: neurosymbolic and statistical relational artificial intelligence. Neurosymbolic artificial intelligence (NeSy) studies the integration of symbolic reasoning and neural networks, while statistical relationa... | This survey explores the integration of learning and reasoning in two different fields of artificial intelligence: neurosymbolic and statistical relational artificial intelligence. Neurosymbolic artificial intelligence (NeSy) studies the integration of symbolic reasoning and neural networks, while statistical relationa... | {} |
arxiv | Modular Belief Updates and Confusion about Measures of Certainty in Artificial Intelligence Research | http://arxiv.org/abs/1407.7281v1 | Over the last decade, there has been growing interest in the use or measures or change in belief for reasoning with uncertainty in artificial intelligence research. An important characteristic of several methodologies that reason with changes in belief or belief updates, is a property that we term modularity. We call u... | Over the last decade, there has been growing interest in the use or measures or change in belief for reasoning with uncertainty in artificial intelligence research. An important characteristic of several methodologies that reason with changes in belief or belief updates, is a property that we term modularity. We call u... | {} |
arxiv | Augmented Computational Design: Methodical Application of Artificial Intelligence in Generative Design | http://arxiv.org/abs/2310.09243v1 | This chapter presents methodological reflections on the necessity and utility of artificial intelligence in generative design. Specifically, the chapter discusses how generative design processes can be augmented by AI to deliver in terms of a few outcomes of interest or performance indicators while dealing with hundred... | This chapter presents methodological reflections on the necessity and utility of artificial intelligence in generative design. Specifically, the chapter discusses how generative design processes can be augmented by AI to deliver in terms of a few outcomes of interest or performance indicators while dealing with hundred... | {} |
arxiv | Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information | http://arxiv.org/abs/2608.10766v2 | Explainable Artificial Intelligence (XAI) seeks to explain how an Artificial Intelligence (AI) system arrived at a particular decision. We propose ''Rule of Thumb'' (RoT) explanations, a new approach to XAI based upon a novel formulation that identifies the most relevant features for predicting the behaviour of an AI s... | Explainable Artificial Intelligence (XAI) seeks to explain how an Artificial Intelligence (AI) system arrived at a particular decision. We propose ''Rule of Thumb'' (RoT) explanations, a new approach to XAI based upon a novel formulation that identifies the most relevant features for predicting the behaviour of an AI s... | {} |
arxiv | Bias Amplification in Artificial Intelligence Systems | http://arxiv.org/abs/1809.07842v1 | As Artificial Intelligence (AI) technologies proliferate, concern has centered around the long-term dangers of job loss or threats of machines causing harm to humans. All of this concern, however, detracts from the more pertinent and already existing threats posed by AI today: its ability to amplify bias found in train... | As Artificial Intelligence (AI) technologies proliferate, concern has centered around the long-term dangers of job loss or threats of machines causing harm to humans. All of this concern, however, detracts from the more pertinent and already existing threats posed by AI today: its ability to amplify bias found in train... | {} |
arxiv | Human-in-the-loop Artificial Intelligence | http://arxiv.org/abs/1710.08191v1 | Little by little, newspapers are revealing the bright future that Artificial Intelligence (AI) is building. Intelligent machines will help everywhere. However, this bright future has a dark side: a dramatic job market contraction before its unpredictable transformation. Hence, in a near future, large numbers of job see... | Little by little, newspapers are revealing the bright future that Artificial Intelligence (AI) is building. Intelligent machines will help everywhere. However, this bright future has a dark side: a dramatic job market contraction before its unpredictable transformation. Hence, in a near future, large numbers of job see... | {} |
arxiv | Conceptual Modeling and Artificial Intelligence: Mutual Benefits from Complementary Worlds | http://arxiv.org/abs/2110.08637v1 | Conceptual modeling (CM) applies abstraction to reduce the complexity of a system under study (e.g., an excerpt of reality). As a result of the conceptual modeling process a human interpretable, formalized representation (i.e., a conceptual model) is derived which enables understanding and communication among humans, a... | Conceptual modeling (CM) applies abstraction to reduce the complexity of a system under study (e.g., an excerpt of reality). As a result of the conceptual modeling process a human interpretable, formalized representation (i.e., a conceptual model) is derived which enables understanding and communication among humans, a... | {} |
arxiv | Enabling Integration and Interaction for Decentralized Artificial Intelligence in Airline Disruption Management | http://arxiv.org/abs/2104.03349v4 | Airline disruption management traditionally seeks to address three problem dimensions: aircraft scheduling, crew scheduling, and passenger scheduling, in that order. However, current efforts have, at most, only addressed the first two problem dimensions concurrently and do not account for the propagative effects that u... | Airline disruption management traditionally seeks to address three problem dimensions: aircraft scheduling, crew scheduling, and passenger scheduling, in that order. However, current efforts have, at most, only addressed the first two problem dimensions concurrently and do not account for the propagative effects that u... | {} |
arxiv | Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives | http://arxiv.org/abs/2304.05147v1 | Collectiveness is an important property of many systems--both natural and artificial. By exploiting a large number of individuals, it is often possible to produce effects that go far beyond the capabilities of the smartest individuals, or even to produce intelligent collective behaviour out of not-so-intelligent indivi... | Collectiveness is an important property of many systems--both natural and artificial. By exploiting a large number of individuals, it is often possible to produce effects that go far beyond the capabilities of the smartest individuals, or even to produce intelligent collective behaviour out of not-so-intelligent indivi... | {} |
arxiv | A philosophical and ontological perspective on Artificial General Intelligence and the Metaverse | http://arxiv.org/abs/2402.06660v4 | This paper leverages various philosophical and ontological frameworks to explore the concept of embodied artificial general intelligence (AGI), its relationship to human consciousness, and the key role of the metaverse in facilitating this relationship. Several theoretical frameworks underpin this exploration, such as ... | This paper leverages various philosophical and ontological frameworks to explore the concept of embodied artificial general intelligence (AGI), its relationship to human consciousness, and the key role of the metaverse in facilitating this relationship. Several theoretical frameworks underpin this exploration, such as ... | {} |
arxiv | Why Artificial Intelligence Needs a Task Theory --- And What It Might Look Like | http://arxiv.org/abs/1604.04660v2 | The concept of "task" is at the core of artificial intelligence (AI): Tasks are used for training and evaluating AI systems, which are built in order to perform and automatize tasks we deem useful. In other fields of engineering theoretical foundations allow thorough evaluation of designs by methodical manipulation of ... | The concept of "task" is at the core of artificial intelligence (AI): Tasks are used for training and evaluating AI systems, which are built in order to perform and automatize tasks we deem useful. In other fields of engineering theoretical foundations allow thorough evaluation of designs by methodical manipulation of ... | {} |
arxiv | OAK4XAI: Model towards Out-Of-Box eXplainable Artificial Intelligence for Digital Agriculture | http://arxiv.org/abs/2209.15104v1 | Recent machine learning approaches have been effective in Artificial Intelligence (AI) applications. They produce robust results with a high level of accuracy. However, most of these techniques do not provide human-understandable explanations for supporting their results and decisions. They usually act as black boxes, ... | Recent machine learning approaches have been effective in Artificial Intelligence (AI) applications. They produce robust results with a high level of accuracy. However, most of these techniques do not provide human-understandable explanations for supporting their results and decisions. They usually act as black boxes, ... | {} |
arxiv | Certifiable Artificial Intelligence Through Data Fusion | http://arxiv.org/abs/2111.02001v1 | This paper reviews and proposes concerns in adopting, fielding, and maintaining artificial intelligence (AI) systems. While the AI community has made rapid progress, there are challenges in certifying AI systems. Using procedures from design and operational test and evaluation, there are opportunities towards determini... | This paper reviews and proposes concerns in adopting, fielding, and maintaining artificial intelligence (AI) systems. While the AI community has made rapid progress, there are challenges in certifying AI systems. Using procedures from design and operational test and evaluation, there are opportunities towards determini... | {} |
arxiv | Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program | http://arxiv.org/abs/1702.00137v1 | The 7th Symposium on Educational Advances in Artificial Intelligence (EAAI'17, co-chaired by Sven Koenig and Eric Eaton) launched the EAAI New and Future AI Educator Program to support the training of early-career university faculty, secondary school faculty, and future educators (PhD candidates or postdocs who intend ... | The 7th Symposium on Educational Advances in Artificial Intelligence (EAAI'17, co-chaired by Sven Koenig and Eric Eaton) launched the EAAI New and Future AI Educator Program to support the training of early-career university faculty, secondary school faculty, and future educators (PhD candidates or postdocs who intend ... | {} |
pubmed | 1. Work. 2026 Sep 18:10519815261487194. doi: 10.1177/10519815261487194. Online | https://pubmed.ncbi.nlm.nih.gov/42760271/ | 1. Work. 2026 Sep 18:10519815261487194. doi: 10.1177/10519815261487194. Online
ahead of print.
Workload and discomfort associated with pushing and pulling manual delivery
trolleys.
Deng JJ(1), Wang Q(2), Cheng HI(2).
Author information:
(1)Interdisciplinary Artificial Intelligence Research Inst | 1. Work. 2026 Sep 18:10519815261487194. doi: 10.1177/10519815261487194. Online
ahead of print.
Workload and discomfort associated with pushing and pulling manual delivery
trolleys.
Deng JJ(1), Wang Q(2), Cheng HI(2).
Author information:
(1)Interdisciplinary Artificial Intelligence Research Institute, Wuhan College... | {
"pmid": "42760271"
} |
pubmed | 2. Arch Bronconeumol. 2026 Sep 18:S0300-2896(26)00324-8. doi: | https://pubmed.ncbi.nlm.nih.gov/42760213/ | 2. Arch Bronconeumol. 2026 Sep 18:S0300-2896(26)00324-8. doi:
10.1016/j.arbres.2026.08.013. Online ahead of print.
Artificial Intelligence in Respiratory Medicine: Applications, Methodological
Challenges, and Clinical Translation.
[Article in English, Spanish]
López-Padilla D(1), Lumbreras S(2) | 2. Arch Bronconeumol. 2026 Sep 18:S0300-2896(26)00324-8. doi:
10.1016/j.arbres.2026.08.013. Online ahead of print.
Artificial Intelligence in Respiratory Medicine: Applications, Methodological
Challenges, and Clinical Translation.
[Article in English, Spanish]
López-Padilla D(1), Lumbreras S(2), Agustí À(3), Jacob... | {
"pmid": "42760213"
} |
pubmed | 3. Injury. 2026 Sep 14:113719. doi: 10.1016/j.injury.2026.113719. Online ahead of | https://pubmed.ncbi.nlm.nih.gov/42760195/ | 3. Injury. 2026 Sep 14:113719. doi: 10.1016/j.injury.2026.113719. Online ahead of
print.
Cooler by cooler - Forecasting transfusion demand and volumes in trauma.
Stolarski AE(1), Brady KJ(2), Stallings JD(3), Scantling D(4), Torres C(4), Ong
C(4), Lagazzi E(4), Seamon M(5), Martin N(5), Telfer B | 3. Injury. 2026 Sep 14:113719. doi: 10.1016/j.injury.2026.113719. Online ahead of
print.
Cooler by cooler - Forecasting transfusion demand and volumes in trauma.
Stolarski AE(1), Brady KJ(2), Stallings JD(3), Scantling D(4), Torres C(4), Ong
C(4), Lagazzi E(4), Seamon M(5), Martin N(5), Telfer BA(2), Saillant N(4).... | {
"pmid": "42760195"
} |
pubmed | 4. Int J Oral Maxillofac Surg. 2026 Sep 18:S0901-5027(26)00399-1. doi: | https://pubmed.ncbi.nlm.nih.gov/42760153/ | 4. Int J Oral Maxillofac Surg. 2026 Sep 18:S0901-5027(26)00399-1. doi:
10.1016/j.ijom.2026.09.006. Online ahead of print.
Facial attractiveness and profile-based perceived orthognathic surgery need:
comparative assessment among professionals, laypersons, and artificial
intelligence models.
Güze | 4. Int J Oral Maxillofac Surg. 2026 Sep 18:S0901-5027(26)00399-1. doi:
10.1016/j.ijom.2026.09.006. Online ahead of print.
Facial attractiveness and profile-based perceived orthognathic surgery need:
comparative assessment among professionals, laypersons, and artificial
intelligence models.
Güzel C(1), Okumuş YM(2)... | {
"pmid": "42760153"
} |
pubmed | 5. Curr Probl Diagn Radiol. 2026 Sep 11:S0363-0188(26)00161-1. doi: | https://pubmed.ncbi.nlm.nih.gov/42760143/ | 5. Curr Probl Diagn Radiol. 2026 Sep 11:S0363-0188(26)00161-1. doi:
10.1067/j.cpradiol.2026.09.002. Online ahead of print.
The value of machine learning inference to predict multidisciplinary discussion
diagnosis of interstitial lung diseases.
Mortani Barbosa EJ Jr(1), Kim Y(2), Shanahan J(3), R | 5. Curr Probl Diagn Radiol. 2026 Sep 11:S0363-0188(26)00161-1. doi:
10.1067/j.cpradiol.2026.09.002. Online ahead of print.
The value of machine learning inference to predict multidisciplinary discussion
diagnosis of interstitial lung diseases.
Mortani Barbosa EJ Jr(1), Kim Y(2), Shanahan J(3), Rupsee A(4).
Author ... | {
"pmid": "42760143"
} |
pubmed | 6. ACS Appl Mater Interfaces. 2026 Sep 21. doi: 10.1021/acsami.6c10769. Online | https://pubmed.ncbi.nlm.nih.gov/42760093/ | 6. ACS Appl Mater Interfaces. 2026 Sep 21. doi: 10.1021/acsami.6c10769. Online
ahead of print.
Smartphone AI-Enabled Lateral Flow Immunoassay Platform Using Advanced Quantum
Dots for Intelligent Quantitative Diagnostics.
Atta S(1)(2), Thorsen TL(1)(3), Vasse T(1)(2), Berner VK(4), Gates-Hollings | 6. ACS Appl Mater Interfaces. 2026 Sep 21. doi: 10.1021/acsami.6c10769. Online
ahead of print.
Smartphone AI-Enabled Lateral Flow Immunoassay Platform Using Advanced Quantum
Dots for Intelligent Quantitative Diagnostics.
Atta S(1)(2), Thorsen TL(1)(3), Vasse T(1)(2), Berner VK(4), Gates-Hollingsworth
MA(4), Hill H... | {
"pmid": "42760093"
} |
pubmed | 7. BMJ Open. 2026 Sep 18;16(9):e123879. doi: 10.1136/bmjopen-2026-123879. | https://pubmed.ncbi.nlm.nih.gov/42760089/ | 7. BMJ Open. 2026 Sep 18;16(9):e123879. doi: 10.1136/bmjopen-2026-123879.
AI-based applications supporting informal caregivers in childhood caries
prevention and management: protocol for a scoping review.
Anugrah PM(1), Emami E(2), Adiatman M(3), Darwita RRR(4).
Author information:
(1)Doctoral P | 7. BMJ Open. 2026 Sep 18;16(9):e123879. doi: 10.1136/bmjopen-2026-123879.
AI-based applications supporting informal caregivers in childhood caries
prevention and management: protocol for a scoping review.
Anugrah PM(1), Emami E(2), Adiatman M(3), Darwita RRR(4).
Author information:
(1)Doctoral Program in Dental Sci... | {
"pmid": "42760089"
} |
pubmed | 8. Reg Anesth Pain Med. 2026 Sep 18:rapm-2026-108180. doi: | https://pubmed.ncbi.nlm.nih.gov/42760064/ | 8. Reg Anesth Pain Med. 2026 Sep 18:rapm-2026-108180. doi:
10.1136/rapm-2026-108180. Online ahead of print.
Real-time AI-assisted nerve tracking for ultrasound-guided nerve identification:
a prospective randomized trial.
Kim J(1)(2), Nam SP(1), Yoo J(1), Hong Y(3), Joo H(3), Yoo Y(1), Moon JY(4) | 8. Reg Anesth Pain Med. 2026 Sep 18:rapm-2026-108180. doi:
10.1136/rapm-2026-108180. Online ahead of print.
Real-time AI-assisted nerve tracking for ultrasound-guided nerve identification:
a prospective randomized trial.
Kim J(1)(2), Nam SP(1), Yoo J(1), Hong Y(3), Joo H(3), Yoo Y(1), Moon JY(4)(2).
Author informa... | {
"pmid": "42760064"
} |
pubmed | 9. J Immunother Cancer. 2026 Sep 18;14(9):e015014. doi: 10.1136/jitc-2026-015014. | https://pubmed.ncbi.nlm.nih.gov/42759982/ | 9. J Immunother Cancer. 2026 Sep 18;14(9):e015014. doi: 10.1136/jitc-2026-015014.
CT-based deep foundation model for predicting immune checkpoint
inhibitor-induced pneumonitis risk in lung cancer.
Muneer A(#)(1), Showkatian E(#)(1), Kitsel Y(1)(2), Saad MB(1), Sujit SJ(1),
Soto F(3), Shroff GS(4 | 9. J Immunother Cancer. 2026 Sep 18;14(9):e015014. doi: 10.1136/jitc-2026-015014.
CT-based deep foundation model for predicting immune checkpoint
inhibitor-induced pneumonitis risk in lung cancer.
Muneer A(#)(1), Showkatian E(#)(1), Kitsel Y(1)(2), Saad MB(1), Sujit SJ(1),
Soto F(3), Shroff GS(4), Faiz SA(3), Ghanb... | {
"pmid": "42759982"
} |
pubmed | 10. BMJ Health Care Inform. 2026 Sep 18;33(1):e101830. doi: | https://pubmed.ncbi.nlm.nih.gov/42759972/ | 10. BMJ Health Care Inform. 2026 Sep 18;33(1):e101830. doi:
10.1136/bmjhci-2025-101830.
Leveraging time-series electronic health records with large language models for
chronic kidney disease diagnosis in primary care.
Wu J(1)(2), Zheng Y(2), He Z(3), Zuo Q(2), Zhang W(4), Li P(5)(2), Luxia
Z(1) | 10. BMJ Health Care Inform. 2026 Sep 18;33(1):e101830. doi:
10.1136/bmjhci-2025-101830.
Leveraging time-series electronic health records with large language models for
chronic kidney disease diagnosis in primary care.
Wu J(1)(2), Zheng Y(2), He Z(3), Zuo Q(2), Zhang W(4), Li P(5)(2), Luxia
Z(1)(2).
Author informa... | {
"pmid": "42759972"
} |
pubmed | 11. BMJ Health Care Inform. 2026 Sep 18;33(1):e102188. doi: | https://pubmed.ncbi.nlm.nih.gov/42759970/ | 11. BMJ Health Care Inform. 2026 Sep 18;33(1):e102188. doi:
10.1136/bmjhci-2026-102188.
Predicting zero-dose vaccination status in 27 sub-Saharan African countries: a
machine learning approach.
Endehabtu BF(1)(2), Addisu Taye E(3)(2).
Author information:
(1)Health Informatics, University of Gon | 11. BMJ Health Care Inform. 2026 Sep 18;33(1):e102188. doi:
10.1136/bmjhci-2026-102188.
Predicting zero-dose vaccination status in 27 sub-Saharan African countries: a
machine learning approach.
Endehabtu BF(1)(2), Addisu Taye E(3)(2).
Author information:
(1)Health Informatics, University of Gondar College of Medic... | {
"pmid": "42759970"
} |
pubmed | 12. J Am Acad Psychiatry Law. 2026 Sep 18;54(3):275-281. doi: | https://pubmed.ncbi.nlm.nih.gov/42759958/ | 12. J Am Acad Psychiatry Law. 2026 Sep 18;54(3):275-281. doi:
10.29158/JAAPL.260081-26.
Future Directions in the Evaluation of Forensic Cases Involving Artificial
Intelligence "Chatbots".
Simpson JR(1), Pierre JM(2).
Author information:
(1)Dr. Simpson is a Clinical Associate Professor, Departme | 12. J Am Acad Psychiatry Law. 2026 Sep 18;54(3):275-281. doi:
10.29158/JAAPL.260081-26.
Future Directions in the Evaluation of Forensic Cases Involving Artificial
Intelligence "Chatbots".
Simpson JR(1), Pierre JM(2).
Author information:
(1)Dr. Simpson is a Clinical Associate Professor, Department of Psychiatry and... | {
"pmid": "42759958"
} |
pubmed | 13. J Pain Symptom Manage. 2026 Sep 18:S0885-3924(26)01000-6. doi: | https://pubmed.ncbi.nlm.nih.gov/42759901/ | 13. J Pain Symptom Manage. 2026 Sep 18:S0885-3924(26)01000-6. doi:
10.1016/j.jpainsymman.2026.09.019. Online ahead of print.
Clinicians vs. Artificial Intelligence in Predicting 28-Day ICU Mortality: A
Vignette Study.
Siriseth S(1), Vattanavanit V(2).
Author information:
(1)Division of Internal | 13. J Pain Symptom Manage. 2026 Sep 18:S0885-3924(26)01000-6. doi:
10.1016/j.jpainsymman.2026.09.019. Online ahead of print.
Clinicians vs. Artificial Intelligence in Predicting 28-Day ICU Mortality: A
Vignette Study.
Siriseth S(1), Vattanavanit V(2).
Author information:
(1)Division of Internal Medicine, Faculty o... | {
"pmid": "42759901"
} |
pubmed | 14. J Clin Epidemiol. 2026 Sep 18:112517. doi: 10.1016/j.jclinepi.2026.112517. | https://pubmed.ncbi.nlm.nih.gov/42759856/ | 14. J Clin Epidemiol. 2026 Sep 18:112517. doi: 10.1016/j.jclinepi.2026.112517.
Online ahead of print.
LLM-Based Classifiers Can Reduce the Proportion of Records to Screen with
Minimal Loss of Relevant Studies: A Case Study.
Nussbaumer-Streit B(1), Dobrescu A(2), Sharifan A(2), Klerings I(2),
Ne | 14. J Clin Epidemiol. 2026 Sep 18:112517. doi: 10.1016/j.jclinepi.2026.112517.
Online ahead of print.
LLM-Based Classifiers Can Reduce the Proportion of Records to Screen with
Minimal Loss of Relevant Studies: A Case Study.
Nussbaumer-Streit B(1), Dobrescu A(2), Sharifan A(2), Klerings I(2),
Neubauer-Bruckner C(2)... | {
"pmid": "42759856"
} |
pubmed | 15. Bioresour Technol. 2026 Sep 18:135884. doi: 10.1016/j.biortech.2026.135884. | https://pubmed.ncbi.nlm.nih.gov/42759849/ | 15. Bioresour Technol. 2026 Sep 18:135884. doi: 10.1016/j.biortech.2026.135884.
Online ahead of print.
β-1,3-Glucan biodegradation and utilization: Enzyme discovery, engineering, and
industrial applications.
Fang K(1), Yuan L(2), Cui Y(1), Zheng X(3), Jia R(2), Liu K(4), Li S(5).
Author informa | 15. Bioresour Technol. 2026 Sep 18:135884. doi: 10.1016/j.biortech.2026.135884.
Online ahead of print.
β-1,3-Glucan biodegradation and utilization: Enzyme discovery, engineering, and
industrial applications.
Fang K(1), Yuan L(2), Cui Y(1), Zheng X(3), Jia R(2), Liu K(4), Li S(5).
Author information:
(1)State Key L... | {
"pmid": "42759849"
} |
pubmed | 16. Eur J Vasc Endovasc Surg. 2026 Sep 18:S1078-5884(26)00907-X. doi: | https://pubmed.ncbi.nlm.nih.gov/42759832/ | 16. Eur J Vasc Endovasc Surg. 2026 Sep 18:S1078-5884(26)00907-X. doi:
10.1016/j.ejvs.2026.09.035. Online ahead of print.
Comprehensive Artificial Intelligence Based Analysis of Pre- and Post-operative
Computed Tomography Scans in Patients Undergoing Endovascular Abdominal Aortic
Repair.
Garrido | 16. Eur J Vasc Endovasc Surg. 2026 Sep 18:S1078-5884(26)00907-X. doi:
10.1016/j.ejvs.2026.09.035. Online ahead of print.
Comprehensive Artificial Intelligence Based Analysis of Pre- and Post-operative
Computed Tomography Scans in Patients Undergoing Endovascular Abdominal Aortic
Repair.
Garrido-Oliver J(1), Teneza... | {
"pmid": "42759832"
} |
pubmed | 17. Gastrointest Endosc. 2026 Sep 18:S0016-5107(26)07066-5. doi: | https://pubmed.ncbi.nlm.nih.gov/42759726/ | 17. Gastrointest Endosc. 2026 Sep 18:S0016-5107(26)07066-5. doi:
10.1016/j.gie.2026.09.022. Online ahead of print.
Endoscopic Artificial Intelligence for Invasion-Depth Prediction in Superficial
Upper Gastrointestinal Cancer: A Diagnostic Test Accuracy Meta-Analysis.
Lee H(1), Min YW(2), Kim S(3 | 17. Gastrointest Endosc. 2026 Sep 18:S0016-5107(26)07066-5. doi:
10.1016/j.gie.2026.09.022. Online ahead of print.
Endoscopic Artificial Intelligence for Invasion-Depth Prediction in Superficial
Upper Gastrointestinal Cancer: A Diagnostic Test Accuracy Meta-Analysis.
Lee H(1), Min YW(2), Kim S(3), Yoo H(3), Kim TJ(... | {
"pmid": "42759726"
} |
pubmed | 18. J Am Acad Dermatol. 2026 Sep 18:S0190-9622(26)03559-0. doi: | https://pubmed.ncbi.nlm.nih.gov/42759719/ | 18. J Am Acad Dermatol. 2026 Sep 18:S0190-9622(26)03559-0. doi:
10.1016/j.jaad.2026.09.050. Online ahead of print.
Implementing a Domain-Adapted GPT Model to Support Genetic Counseling in a
Genodermatology Clinic.
Udupa M(1), Mija LA(2), Bendayan E(1), Alamari A(3), Cutumisu M(4), Li Y(5),
Joly | 18. J Am Acad Dermatol. 2026 Sep 18:S0190-9622(26)03559-0. doi:
10.1016/j.jaad.2026.09.050. Online ahead of print.
Implementing a Domain-Adapted GPT Model to Support Genetic Counseling in a
Genodermatology Clinic.
Udupa M(1), Mija LA(2), Bendayan E(1), Alamari A(3), Cutumisu M(4), Li Y(5),
Joly-Chevrier M(2), Lebl... | {
"pmid": "42759719"
} |
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