Rethinking Fisher Vectors for Second-order Multi-scale Deep Feature Aggregation in Scalable Scene Retrieval
Aggregating CNN responses into a compact discriminative vector, given their lack of geometric invariance, is a challenge. To…
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591 stories · Every headline links to the original publisher. HapnGo curates and groups; we do not copy articles.
Mixing Matters: Evidence Position Bias Across Sequence Mixers in Long-Context Question Answering
Long-context models often use answer-bearing evidence less effectively when it appears away from a prompt boundary. We compare…
Google Explains The Limit Of Robots.txt For AI Content Use
Google's new robots.txt video says the standard covers crawling, not how content gets used, and recommends percent-encoding…
Making the case for context-aware AI
Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster. But without an…
‘I’d consider replacing one of my children’: Taika Waititi on robot kids, his cheese-o-meter and Klara and the Sun
The director has turned Kazuo Ishiguro’s acclaimed novel about an ailing adolescent and her glitchy robot friend into a…
TechCrunch Founder Summit 2026: Everything you need to know
TechCrunch Founder Summit is a full-day gathering in Boston on November 4 where founders across all stages connect with top VCs…
LongZero: Enhancing Long-Context Reasoning in LLMs from Zero Data
Reinforcement learning (RL) is an effective way to strengthen the long-context reasoning of large language models (LLMs), but it…
Think Harder Where It Matters: Item-Level Adaptive Recursion for Sequential Recommendation
Existing sequential recommenders usually allocate a fixed computational budget to every item in a user's interaction history…
PhysiCalWorld: In-Context Physics Calibration for World Models
Existing world models typically perceive a scene through current visual frame or a narrow history window. However, these…
The role of locality and weight sharing in convolutional neural networks
The success of convolutional neural networks is often attributed to locality and weight sharing. However, how these two…
Environment Duels: A Microcosm of LLM Co-Evolution
Through a tangle of real-world interactions, from synthetic training pipelines to data shared on the open web, frontier LLMs…
The End of Consensus Research?
Consensus is a fundamental problem in distributed computing and at the core of state machine replication (SMR). Despite decades…
Minimax Optimality of the NPMLE for Gaussian Mixtures in Hellinger Distance
We analyze the problem of estimating univariate Gaussian mixture densities using the nonparametric maximum likelihood estimator…
BatchBench: Benchmarking AI Robustness to Batch Effects and Domain Shift in Biomedical Images - A JUMP Cell Painting Leaderboard
Despite recent advances, current AI systems remain highly susceptible to domain shifts, particularly in biomedical imaging, where…
Google On robots.txt Rules For AI Crawlers, Emojis, International URLs & More
Gary Illyes and Chery Prommawin released their second video in the Non-Canonical Cabinet series; this one is named What can you…
In the age of AI, learning maths is even more vital
Readers react to Simon Jenkins’ article that said it’s more important for children to learn how to speak fluently than study…
Solving a 31-year-old grand challenge in mathematics – the KLS conjecture
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research…
How Wikipedia’s Editors Keep the Online Encyclopedia Human-Written
Ellia Lebleu is a founding member of the WikiProject AI Cleanup, a volunteer effort launched in 2023 to find and remove…
Could Treating AI as Conscious Make It More Dangerous?
When Anthropic retired its Claude Opus 3 language model in January 2026, the company’s researchers conducted a “retirement…
Near Minimax Rate for Quantile Distributional Reinforcement Learning
In this paper, we study quantile distributional policy evaluation, where the return distribution under a given policy is…
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