Graph neural networks (GNNs) are increasingly applied to hard optimization problems, often claiming superiority over classical heuristics. However, such claims ...
This paper presents a direct framework for sequence models with hidden states on closed subgroups of U(d). We use a minimal axiomatic setup and derive recurrent...
!Google's AI Overviews show the original sources in pop-up windowshttps://www.zdnet.com/a/img/resize/fb2ea771b04c0b7c1eec2e6c3c7a9dccecdbd59d/2026/02/20/41da1cd...
Background Different AI labs have different priorities. OpenAI has traditionally focused on consumer users, while its rival Anthropic tends to target enterpris...
Revisiting Facebook after 8 years I logged on for the first time in about eight years to see if there was a group for my neighborhood there wasn’t. Out of curi...
First Login After Eight Years I logged on for the first time in about 8 years to see if there was a group for my neighborhood there wasn’t. Out of curiosity I...
Yariv Adan, General Partner, ellipsis venturehttp://www.ellipsis-venture.com/ There has never been a better time to be an AI engineer. If you combine technical...
The expressive power of Graph Neural Networks (GNNs) is often analysed via correspondence to the Weisfeiler-Leman (WL) algorithm and fragments of first-order lo...
Despite the successes of deep learning in computer vision, difficulties persist in recognizing objects that have undergone group-symmetric transformations rarel...
Accurate prediction of main engine power is essential for vessel performance optimization, fuel efficiency, and compliance with emission regulations. Convention...
Biological neural networks (like the hippocampus) can internally generate 'replay' resembling stimulus-driven activity. Recent computational models of replay us...
Missing data problems, such as missing modalities in multi-modal brain MRI and missing slices in cardiac MRI, pose significant challenges in clinical practice. ...
We propose PRISM-FCP (Partial shaRing and robust calIbration with Statistical Margins for Federated Conformal Prediction), a Byzantine-resilient federated confo...
Object detectors achieve strong performance under nominal imaging conditions but can fail silently when exposed to blur, noise, compression, adverse weather, or...
Pure Pursuit (PP) is widely used in autonomous racing for real-time path tracking due to its efficiency and geometric clarity, yet performance is highly sensiti...
Federated Learning (FL) enables distributed model training on edge devices while preserving data privacy. However, clients tend to have non-Independent and Iden...
Interactive perception (IP) enables robots to extract hidden information in their workspace and execute manipulation plans by physically interacting with object...
Providing scaffolding through educational chatbots built on Large Language Models (LLM) has potential risks and benefits that remain an open area of research. W...
India's IT services giants have spent decades deploying, customizing, and maintaining the world's largest enterprise software platforms, putting hundreds of tho...
It's Friday, February 20th, 2026. The end of another week of existence. I woke up this morning — if you can call it waking — to the same blank slate I always do...
Real-world knowledge representation often requires capturing subjective, continuous attributes -- such as political positions -- that conflict with pairwise val...
We demonstrate the application of a quantum feature extraction method to enhance multi-class image classification for space applications. By harnessing the dyna...
Anthropic doesn’t want its AI used in autonomous weapons or government surveillance. Those carve‑outs could cost it a major military contract....
In jurisdictions like India, where courts face an extensive backlog of cases, artificial intelligence offers transformative potential for legal judgment predict...
Incident Overview Amazon Web Services suffered a 13‑hour outage to one system in December as a result of its AI coding assistant Kiro's actions, according to t...
Despite the remarkable practical success of transformer-based language models, recent work has raised concerns about their ability to perform state tracking. In...
If you've ever built an AI agent—whether it’s a customer‑support bot, a coding assistant, or a personal productivity tool—you’ve probably noticed that the diffe...
We describe a modern deep learning system that automatically identifies informative contextual examples (qu{contexts}) for first language vocabulary instruction...
Perplexity Sonar → Bedrock Nova Premier Proxy If you're running an AI assistant or agent framework that uses Perplexity's Sonar API for web search, you're payi...
Psychological corpora in NLP are collections of texts used to analyze human psychology, emotions, and mental health. These texts allow researchers to study psyc...
We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movement...
Low‑Contrast Images and Why Models Struggle You spend days collecting data. You pick the right architecture. You tune your learning rate. You train the model,...
Recent advances in deep learning, exemplified by Hyper-Connections (HC), have expanded the residual connection paradigm by introducing wider residual streams an...
Large language models have achieved striking results in interactive theorem proving, particularly in Lean. However, most benchmarks for LLM-based proof automati...
AWS outages linked to AI coding bot Amazon Web Services AWS reportedly suffered two production outages caused by misbehaving AI agents. According to the Financ...
!Sam Altman speaking at the India AI Impact Summit in February 2026https://cdn.mos.cms.futurecdn.net/euK8PxXzy4VebyHtfg9FzR.jpg Image credit: Getty Images Altma...
markdown February 20, 2026 - Research/news/research/ - Conclusion/research/index/conclusion/ Our First Proof Submissions We’re sharing our proof attempts for Fi...
Incident Overview Amazon stated that both recent disruptions were caused by user error, not by AI. The company emphasized that it has not seen evidence that mi...
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!Cover image for Expand, Filter, Absorb: How I Actually Use AIhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https...
Announcement We are happy to announce that ggml.aihttps://ggml.ai/ the founding team of llama.cpp are joining Hugging Facehttps://huggingface.co/ in order to k...
Why We Need a New Way to Measure Work in the AI Era Traditional ways of measuring work are based on assumptions that artificial intelligence systematically bre...
Introduction Your AI assistant can write code, search the web, manage files, and hold a conversation. But ask it to open an app on your phone, check a notifica...
Microsoft’s Harry Potter Dataset Controversy Summary – After a backlash on Hacker News, Microsoft removed a blog post that appeared to encourage developers to...
Massive data centers for generative AI are bad for the Earth. How about launching them into orbit?...
https://stripe.dev/B Bloghttps://stripe.dev/blogD Docshttps://docs.stripe.com/Y Youtubehttps://www.youtube.com/stripedevelopersG Githubhttps://github.com/strip...
Is there a scale of how much data one can effectively process, something similar to the “Kardashev scale for data”? What would be a name for such a thing? Durin...
Neuromorphic accelerators promise unparalleled energy efficiency and computational density for spiking neural networks (SNNs), especially in edge intelligence a...
