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🔥 Trending Topics · Last 48h
◬ AI & Machine Learning Jun 23, 2026
Experimenting with the proposed Cross-Origin Storage API in Transformers.js
Hugging Face Read →
◬ AI & Machine Learning Jun 23, 2026
Build real agentic apps using CUGA: two dozen working examples on a lightweight harness
Hugging Face Read →
◬ AI & Machine Learning Jun 23, 2026
The $400 million machine powering the future of chipmaking

Jos Benschop is climbing a ladder to get to the top of his newest machine. It’s a bit of a schlep. The contraption is the size of a double-decker bus—more than 150 tons of gleaming precision-milled al…

MIT Tech Review AI Read →
◬ AI & Machine Learning Jun 23, 2026
We got local models to triage the OpenClaw repo for FREE!*
Hugging Face Read →
◬ AI & Machine Learning Jun 23, 2026
Shipping huggingface_hub every week with AI, open tools, and a human in the loop
Hugging Face Read →
◬ AI & Machine Learning Jun 22, 2026
Three things to watch amid Anthropic’s latest feud with the government

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. For those of you enjoying your summer unaware of Anthropic’s l…

MIT Tech Review AI Read →
◬ AI & Machine Learning Jun 22, 2026
PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters
Hugging Face Read →
◬ AI & Machine Learning Jun 19, 2026
A startup claims it broke through a bottleneck that’s holding back LLMs

Miami-based AI startup Subquadratic came out of stealth mode last month with a huge claim. It announced that it had solved a mathematical bottleneck that had been holding back large language models fo…

MIT Tech Review AI Read →
◬ AI & Machine Learning Jun 19, 2026
Think Again or Think Longer? Selective Verification for Budget-Aware Reasoning

arXiv:2606.19808v1 Announce Type: new Abstract: Test-time reasoning is increasingly used as a serving-time control knob, but extra reasoning is not uniformly valuable: it can repair failed attempts, w…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
CombEval: A Framework for Evaluating Combinatorial Counting in Large Language Models

arXiv:2606.19788v1 Announce Type: new Abstract: We present CombEval, a dynamic benchmark for evaluating combinatorial counting in large language models. CombEval represents each problem as a typed Cof…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
ORAgentBench: Can LLM Agents Solve Challenging Operations Research Tasks End to End?

arXiv:2606.19787v1 Announce Type: new Abstract: Large language models are increasingly deployed as autonomous agents for multi-step tasks in executable environments, yet their ability to perform reali…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
AgentFinVQA: A Deployable Multi-Agent Pipeline for Auditable Financial Chart QA

arXiv:2606.19782v1 Announce Type: new Abstract: Financial chart question answering in regulated settings demands more than accuracy: practitioners must know which answers to trust before acting on the…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
Beyond Entropy: Learning from Token-Level Distributional Deviations for LLM Reasoning

arXiv:2606.19771v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has significantly advanced Large Language Model (LLM) reasoning; however, it faces a fundamental o…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
Optimal Scheduling in a Question-Answering Forum of Knowledge Workers

arXiv:2606.19759v1 Announce Type: new Abstract: As individuals turn to the Internet to find answers to questions they may have, several Question Answering (QA) forums have evolved, where users knowled…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
Grounded Inference: Principles for Deterministically Encapsulated Generative Models

arXiv:2606.19753v1 Announce Type: new Abstract: The incorporation of generative models into traditional computational systems presents both enormous opportunity and tremendous peril. Although many ear…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
Benchmarking Agentic Review Systems

arXiv:2606.19749v1 Announce Type: new Abstract: A new class of agentic review systems are emerging as a remedy to the pressure placed on peer review systems by AI-assisted research, but it is unclear …

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
A Comparative Study of Pretrained Transformer Models for Quranic ASR: Speech Representations, Label Formats, and Dataset Composition

arXiv:2606.19747v1 Announce Type: new Abstract: Quran Automatic Speech Recognition (ASR) aims to convert Quranic recitation into text, enabling applications such as aided memorisation tools and Qurani…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks

arXiv:2606.19741v1 Announce Type: new Abstract: Neural Combinatorial Optimization (NCO) achieves strong performance, yet its black-box nature remains a key roadblock to deployment and scientific diagn…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
GLARE: A Natural Language Interface for Querying Global Explanations

arXiv:2606.19735v1 Announce Type: new Abstract: While global explanations are crucial for understanding vision models across datasets, classes, and decision contexts, their complex and monolithic natu…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
Beyond Static Leaderboards: Predictive Validity for the Evaluation of LLM Agents

arXiv:2606.19704v1 Announce Type: new Abstract: Agent benchmarks are growing fast, but no single benchmark touches more than four or five of the dimensions that deployment exposes. This paper aggregat…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
Exit-and-Join Dynamics for Decentralized Coalition Formation

arXiv:2606.19683v1 Announce Type: new Abstract: This paper studies coalition formation as a decentralized dynamical process driven by unilateral exit-and-join decisions. Agents evaluate local moves us…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
Denoising Implicit Feedback for Cold-start Recommendation

arXiv:2606.19658v1 Announce Type: new Abstract: Implicit feedback is widely used in recommender systems due to its accessibility and generality, yet it usually presents noisy samples (e.g., clickbait,…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation

arXiv:2606.19651v1 Announce Type: new Abstract: Three-dimensional (3D) brain MRI is central to clinical neurology and neuro-oncology, where generative models could augment under-represented cohorts, s…

arXiv AI Read →
◬ AI & Machine Learning Jun 19, 2026
AI4SE and SE4AI Exploration: A Decade Looking Back and Forward

arXiv:2606.19630v1 Announce Type: new Abstract: The March 2020 INCOSE INSIGHT special issue on AI and Systems Engineering (SE) became the most downloaded issue in the publication's history and launche…

arXiv AI Read →
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