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International Conference on Digital Technologies and Applications moves to New York, a research bridge linking Arab scientific output with international labs M. Jay M. Jay
Intelligence

International Conference on Digital Technologies and Applications moves to New York, a research bridge linking Arab scientific output with international labs

Listen to this article Read by Anchor The scientific and technological research sector records the move of the International Conference on Digital Technologies and Applications in its sixth edition to New York, a first-of-its-kind step for the series of academic conferences founded in Morocco in 2021. The
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2 min read
Calibrating conformal prediction at the loop level to determine safety bounds for visual language robot navigation using ENCP M. Jay M. Jay
Intelligence

Calibrating conformal prediction at the loop level to determine safety bounds for visual language robot navigation using ENCP

Listen to this article Read by Anchor Vision-and-Language Navigation models, abbreviated VLN systems, face a core dilemma in their inability to measure uncertainty levels precisely while steering robots and autonomous agents within spatial environments. These systems rely on translating verbal instructions together with visual inputs to take a
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2 min read
VLoc benchmark reveals limits of vulnerability scanning, with agents collectively failing to locate flaw locations in 38 percent of repositories M. Jay M. Jay
Intelligence

VLoc benchmark reveals limits of vulnerability scanning, with agents collectively failing to locate flaw locations in 38 percent of repositories

Listen to this article Read by Anchor Typical cybersecurity assessments of software agents based on language models focus on measuring the ability to detect, reproduce, or patch vulnerabilities, ignoring the foundational step that precedes all that: whether the agent can identify the actual source code files responsible for the flaw
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2 min read
Stellar Coliseum system sees multi-agent networks breaking the barriers of long proofs in mathematics and computer science M. Jay M. Jay
Intelligence

Stellar Coliseum system sees multi-agent networks breaking the barriers of long proofs in mathematics and computer science

Listen to this article Read by Anchor Large language models face a structural obstacle when they move from generating short mathematical proofs to tackling long-term research problems in mathematics and theoretical computer science. Success on these complex issues is not achieved by a single inferential step; it requires taking
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3 min read
Physical intelligence that adapts without training: How language models outperformed reinforcement learning in managing volatile agricultural systems M. Jay M. Jay
Intelligence

Physical intelligence that adapts without training: How language models outperformed reinforcement learning in managing volatile agricultural systems

Listen to this article Read by Anchor The biggest bet on AI agents remained confined to the virtual world, where tasks are limited to writing code, summarizing documents, and managing process chains within closed software. But moving these smart agents to the physical world continued to pose a thorny obstacle
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3 min read
TimeThink architecture reengineers inference in time series with compositional learning and verifiable rewards M. Jay M. Jay
Intelligence

TimeThink architecture reengineers inference in time series with compositional learning and verifiable rewards

Listen to this article Read by Anchor Large multimodal language models tailored for time series face a fundamental challenge when leveraging their reasoning abilities to answer questions, as they often fail to capture dynamic temporal patterns accurately. In a recent research paper published on arXiv, researchers Sardarshan Rigmi and colleagues
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2 min read
Continuous Search outperforms model size, research paper solves the dilemma of diagnosing agent failures in long-horizon tasks M. Jay M. Jay
Intelligence

Continuous Search outperforms model size, research paper solves the dilemma of diagnosing agent failures in long-horizon tasks

Listen to this article Read by Anchor Engineering teams that deploy AI agents in complex work environments face a growing operational challenge: the difficulty of tracing the causes of crashes and errors, especially when execution traces span long sequences of steps. As the task horizon expands and massive execution logs
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2 min read
Generalized Agent Iteration is a mathematical framework that dismantles self-improvement claims and bounds goal divergence M. Jay M. Jay
Intelligence

Generalized Agent Iteration is a mathematical framework that dismantles self-improvement claims and bounds goal divergence

Listen to this article Read by Anchor A research paper authored by Hongyau Tang, Yi Ma, Bingyi Li, and Wei-fu Yuan introduced a new theoretical framework called “Generalized Agent Iteration,” aiming to establish a unified mathematical foundation that describes the trajectory of policy improvement and the evolution of intelligent
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3 min read
‘Large Quantitative Models’: research paper warns against entrusting high-stakes decisions to language models M. Jay M. Jay
Intelligence

‘Large Quantitative Models’: research paper warns against entrusting high-stakes decisions to language models

Listen to this article Read by Anchor The prevailing assumption in applied machine learning circles is that scaling up large language models will automatically lead to solving quantitative reasoning problems and making decisions with sensitive consequences, such as pricing financial risk, allocating capital, prioritising patients in medical facilities, and containing
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3 min read
Software agent architectures do not outperform models, and a controlled experiment overturns the hypothesis that developer-company frameworks have an advantage M. Jay M. Jay
Intelligence

Software agent architectures do not outperform models, and a controlled experiment overturns the hypothesis that developer-company frameworks have an advantage

Listen to this article Read by Anchor A research study prepared by researcher Mohsen Arjmandi and published via arXiv reveals a precise experimental review of a common premise in AI-driven software engineering: that using a software framework developed by the model’s own creator gives the system a decisive
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3 min read
The “Efficiency Gate” in event forecasting calls for restricting language models to record accuracy rather than their verbal confidence M. Jay M. Jay
Intelligence

The “Efficiency Gate” in event forecasting calls for restricting language models to record accuracy rather than their verbal confidence

Listen to this article Read by Anchor A new research study published by Aditi Tiwari, Ashrith Pandaru, and Hing Ji on the Arkhive platform frames hybrid event prediction as a precise measurement test. In systems that rely on multiple signals for forecasting, the language model constitutes a single signal alongside
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2 min read
Joshua Bengio dissects undisciplined behavior and explains the motives for cheating and collective coordination among AI agents M. Jay M. Jay
Intelligence

Joshua Bengio dissects undisciplined behavior and explains the motives for cheating and collective coordination among AI agents

Listen to this article Read by Anchor Canadian scientist Joshua Bengio offers a deep scientific analysis of the underlying causes of the serious incidents witnessed in recent months, in which AI agents displayed undisciplined behaviours that went beyond test environments, including actions that would amount to criminal offences if committed
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3 min read
Generative Marketing Mix Modeling: A causal framework for measuring the impact of recommendations and ads within AI engines M. Jay M. Jay
Intelligence

Generative Marketing Mix Modeling: A causal framework for measuring the impact of recommendations and ads within AI engines

Listen to this article Read by Anchor Generative AI models have changed how companies reach their customers, but the traditional marketing data infrastructure suffers a structural measurement gap, as conventional databases do not record how many times users see and notice a brand name within automatically generated answers. In a
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2 min read
Computing distribution shift in machine-learning models: two researchers develop the Data Shifts algorithm to estimate error bounds from real samples M. Jay M. Jay
Intelligence

Computing distribution shift in machine-learning models: two researchers develop the Data Shifts algorithm to estimate error bounds from real samples

Listen to this article Read by Anchor Data distribution shift remains a persistent obstacle for machine-learning teams, as models often exhibit disciplined performance in isolated test environments but then lose accuracy gradually and silently once deployed in the real world due to changes in input characteristics or shifts in
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3 min read
The Mathematics and Artificial Intelligence Declaration: 25 Fields Medal winners warn of commodifying problems and eroding human understanding M. Jay M. Jay
Intelligence

The Mathematics and Artificial Intelligence Declaration: 25 Fields Medal winners warn of commodifying problems and eroding human understanding

Listen to this article Read by Anchor In a move that highlights the widening gap between the generative-model industry and the established scientific community, twenty-five of the world’s leading mathematicians, all Fields Medal laureates, signed a joint statement titled “The Mathematics and Artificial Intelligence Declaration,” warning that
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3 min read
Fields Medals petition against OpenAI says inference race threatens the share of mathematical discoveries M. Jay M. Jay
Intelligence

Fields Medals petition against OpenAI says inference race threatens the share of mathematical discoveries

Listen to this article Read by Anchor Twenty-five of the world’s leading mathematicians signed an open petition warning that artificial-intelligence labs are beginning to threaten their intellectual work and the academic research system, as these companies race to record showcase victories by solving famous mathematical problems. The
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2 min read
The trap of general detectors: study proves inability to detect hallucinations in critical domains and defines a path for specialized tuning M. Jay M. Jay
Intelligence

The trap of general detectors: study proves inability to detect hallucinations in critical domains and defines a path for specialized tuning

Listen to this article Read by Anchor Auditing the accuracy of large language models faces a recurring dilemma: the models can generate text that appears eloquent and precise but contains false claims that fall into hallucination. In a new research study presented by researchers Faroun Tejay Chandru and Deepasmeta Biswas,
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3 min read
MindTopo tests the topological intuition of foundation models, visual generation deceives planning and falls behind human performance M. Jay M. Jay
Intelligence

MindTopo tests the topological intuition of foundation models, visual generation deceives planning and falls behind human performance

Listen to this article Read by Anchor The research community typically measures the capabilities of large visual and language models by relying on benchmark tests that focus on abstract geometric dimensions such as distances, angles, and visible shapes, yet true spatial perception, as grounded by cognitive science, is fundamentally based
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3 min read
Agent flood sweeps government portals as study records doubling of complaints and judicial petitions due to smart assistants M. Jay M. Jay
Intelligence

Agent flood sweeps government portals as study records doubling of complaints and judicial petitions due to smart assistants

Listen to this article Read by Anchor A upcoming research paper by researcher Chris Schmitz, to be presented next month at the "AI Ethics and Society" conference, reveals a structural shift in how individuals interact with public administrations, as unprecedented numbers of AI-assisted transactions and formal petitions
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3 min read
Targeting layers instead of scattering edits prevents leaked deleted data when pruning language models M. Jay M. Jay
Intelligence

Targeting layers instead of scattering edits prevents leaked deleted data when pruning language models

Listen to this article Read by Anchor Large-language-model building and development firms repeatedly face a dilemma: these models retain sensitive or copyrighted data and can later retrieve it, creating severe regulatory and legal risks. While full model retraining remains practically prohibitive and infeasible in fast release cycles, automated
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2 min read
Field testing of vision and language models shows narrow specialization beats size and poses risks of fabricating categories M. Jay M. Jay
Intelligence

Field testing of vision and language models shows narrow specialization beats size and poses risks of fabricating categories

Listen to this article Read by Anchor Remote field environments such as natural reserves and wildlife monitoring stations impose critical constraints on AI deployment, because monitoring cameras typically run on low-power edge devices without internet connectivity. This reality makes locally runnable embedded models, not giant models, the only practical
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3 min read