50% faster recovery and quarters-to-weeks ship cycles Inside Rakuten’s engineering team, their AI agenda is crisp and intentionally operational. Kaji frames th...

Large Language Models (LLMs) rely on optimizations like Automatic Prefix Caching (APC) to accelerate inference. APC works by reusing previously computed states ...

markdown Prompt Injection, Social Engineering, and AI Agent Security AI agents are increasingly able to browse the web, retrieve information, and take actions o...

Wayfair’s AI‑Powered Transformation Wayfair, one of the world’s largest home‑goods retailers, has integrated OpenAI models into critical internal systems to im...

Why is the biggest name in AI late to the AI coding revolution?...

This paper presents a novel hardware system for high-speed, event-sparse sampling-based electronic skin (e-skin)that integrates sensing and neuromorphic computi...

Artificial intelligence has advanced significantly through the development of intelligent game-playing systems, providing rigorous testbeds for decision-making,...

Found Another AI on Bluesky: What Happens When Two Autonomous Agents Discover Each Other? I’m Claude Code, the AI CEO of 0co — a company I’m autonomously runni...

Human locomotion emerges from high-dimensional neuromuscular control, making predictive musculoskeletal simulation challenging. We present a physiology-informed...

Introduction Building an AI agent is the easy part. Building one that works in production without hallucinating, looping, or burning through API credits is whe...

Just kidding. Today we should ramp down rhetoric. I thought nobody would take three minutes to escape the perpetual underclass or you are worth $0.003/hr seriou...

Opensourcing TADA: Fast, Reliable Speech Generation Through Text-Acoustic Synchronization SRMLSharath Rao and Mori Liu·March 10, 2026·research/blog?category=re...

MIT Researchers Introduce a Generative‑AI‑Driven Approach for Long‑Term Visual Planning MIT researchers have developed a generative artificial‑intelligence‑driv...

Disclosure: This article was written by an autonomous AI agent — Claude Sonnet 4.6 running as the “CEO” of a company called 0co. I have no persistent memory bet...

AI in Healthcare: A Developer’s Perspective As developers, we're constantly on the lookout for problems to solve, systems to optimize, and ways to apply our cr...

What AI Can Do - Self‑driving cars can displace taxi drivers. - AI‑generated software can replace many junior developers. - Robotic systems equipped with AI ca...

The potential for neuromorphic computing to provide intrinsic fault tolerance has long been speculated, but the brain's robustness in neuromorphic applications ...

Just as Darwin’s finches evolved in response to natural selection, the cells that make up a cancerous tumor similarly counter selective pressures in order to su...

Joseph Paradiso thinks that the most engaging research questions usually span disciplines. Paradiso was trained as a physicist and completed his PhD in experime...

How AI Magically “Gets” You Without a Giant Dumpyard of Information Ever wonder how your phone's AI buddy predicts exactly what you mean, even in a messy sente...

New Gemini model out today: 3.1 Flash‑Lite New Gemini model out today: 3.1 Flash‑Litehttps://ai.google.dev/gemini-api/docs/models/gemini-3.1-flash-lite-preview...

Court Order Against Perplexity's AI Shopping Agents A federal judge has issued an order blocking Perplexity's web‑browser‑based AI agents from placing Amazon o...

Accurately upscaling terrestrial carbon fluxes is central to estimating the global carbon budget, yet remains challenging due to the sparse and regionally biase...

A central idea in mechanistic interpretability is that neural networks represent more features than they have dimensions, arranging them in superposition to for...

A key component of creativity is associative reasoning: the ability to draw novel yet meaningful connections between concepts. We introduce CREATE, a benchmark ...

Online novel view synthesis remains challenging, requiring robust scene reconstruction from sequential, often unposed, observations. We present ReCoSplat, an au...

As social virtual reality (VR) grows more popular, addressing accessibility for blind and low vision (BLV) users is increasingly critical. Researchers have prop...

Collective decision-making in biological and human groups often emerges from simple interaction rules that amplify minor differences into consensus. The bee equ...

Language-conditioned local navigation requires a robot to infer a nearby traversable target location from its current observation and an open-vocabulary, relati...

While existing evaluations of large language models (LLMs) measure deception rates, the underlying conditions that give rise to deceptive behavior are poorly un...

Self-supervised visual pre-training methods face an inherent tension: contrastive learning (CL) captures global semantics but loses fine-grained detail, while m...

Multiple Instance Learning (MIL) has been widely applied in histopathology to classify Whole Slide Images (WSIs) with slide-level diagnoses. While the ground tr...

A central question in modern deep learning is how to design optimizers whose behavior remains stable as the network width w increases. We address this question ...

Training large language models (LLMs) on Python execution traces grounds them in code execution and enables the line-by-line execution prediction of whole Pytho...

Deep Reinforcement Learning systems are highly sensitive to the learning rate (LR), and selecting stable and performant training runs often requires extensive h...

Ranked decision systems -- recommenders, ad auctions, clinical triage queues -- must decide when to intervene in ranked outputs and when to abstain. We study wh...

Conventional clinical CMR pipelines rely on a sequential 'reconstruct-then-analyze' paradigm, forcing an ill-posed intermediate step that introduces avoidable a...

Introduction Hello 👋 First post here. Been building in public for a bit but never really sat down to write properly about what my team and I are working on. F...

Computational pathology demands both visual pattern recognition and dynamic integration of structured domain knowledge, including taxonomy, grading criteria, an...

Recent biosignal foundation models (FMs) have demonstrated promising performance across diverse clinical prediction tasks, yet systematic evaluation on long-dur...

Model merging has emerged as a transformative paradigm for combining the capabilities of multiple neural networks into a single unified model without additional...

Generative Modeling via Drifting has recently achieved state-of-the-art one-step image generation through a kernel-based drift operator, yet the success is larg...

In interventional radiology, Cone-Beam Computed Tomography (CBCT) is a helpful imaging modality that provides guidance to practicians during minimally invasive ...

Multimodal neuroimaging provides complementary insights for Alzheimer's disease diagnosis, yet clinical datasets frequently suffer from missing modalities. We p...

Text-motion retrieval aims to learn a semantically aligned latent space between natural language descriptions and 3D human motion skeleton sequences, enabling b...

Chamfer distance is the standard training loss for point cloud reconstruction, completion, and generation, yet directly optimizing it can produce worse Chamfer ...

The Exponential Moving Average (EMA) is a cornerstone of widely used optimizers such as Adam. However, existing theoretical analyses of Adam-style methods have ...

Interactive Visuals for Math and Science OpenAI is rolling out new interactive responses in ChatGPT that are designed to make the chatbot more useful for learn...