ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents
We introduce and release ScienceBuddy, an interactive scientific research workspace that brings continually improving scientific…
AI · Instrumente · Creație online
Ultimele știri AI
Fiecare știre AI care merită citită, adunată din oră în oră din laboratoare, presa tech, cercetare și economia creatorilor. Sortate după timp, grupate pe subiecte.
1,095 știri · Fiecare titlu duce la publicația originală. HapnGo selectează și grupează; nu copiem articole.
PhysStream: Streaming Physics-Grounded Video Generation with Structured Scene Memory and Fine-Grained Motion Control
Interactive control for video generation is moving from coarse prompts toward fine-grained, physically meaningful manipulation of…
Could AI really wipe out humanity – six experts spell out the risks
We examine claims and counterclaims about the risks and calls to slow down the pace of AI development There have been some…
When Should LLMs Abstain? Chain-of-Self-Questioning for Selective Risk Control
Large language models can produce fluent answers when their factual support is weak. This paper introduces…
AI labs have a data trust problem that their policies haven't solved
OpenAI and Anthropic tell corporate customers their data won't be used for training. But when Anthropic said it would store usage…
Roundtables: Could AI really kill us all?
Listen to the session or watch below Employees at the world’s leading AI labs are saying there’s a real possibility that advanced…
LACE: Layer-Wise Compression for Dynamic Frame Rate Codecs
Neural audio codecs are a key component in speech language modeling. However, their high frame rates lead to long sequence…
AI agents now have a place to snitch
The AI Contact Hotline is designed to be a discreet place where agents that have witnessed misbehavior can tip off authorities.
ENCP: Episode-Normalized Conformal Prediction for Vision-and-Language Navigation
Uncertainty estimation for Vision-Language-Navigation (VLN) models is a critical task since it can help identify ambiguous and…
Verifiable Social Reasoning for LLM Assistants
LLM assistants are widely used for daily social advice, yet evaluating their social reasoning in such consultation settings…
FreqSpaNet: Frequency and Spatial Learning of SFPF for Physical Layer Hardware Integrity Detection
Unauthorized hardware replacement can preserve a wireless device's logical identity while altering its physical implementation…
LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence
We introduce LimiX-2, a new model in the LimiX family, developed through model and data scaling guided by our previously…
Bridging the Gap Between Homogeneous and Heterogeneous Asynchronous Optimization Is Surprisingly Difficult
Modern large-scale machine learning tasks often require multiple workers, devices, CPUs, or GPUs to compute stochastic gradients…
Bias-Induced Crossover in Absolute Capacity of Dense Associative Memory
The absolute capacity of dense associative memory has mainly been analyzed for unbiased patterns. Here we examine the effect of…
Coupled Calibration and Learning: Mitigating Teacher Bias in LLM Distillation without Target-Domain Reward Feedback
Large language model (LLM) distillation aims to transfer the capabilities of a powerful teacher to a smaller student. Direct…
Combining RAG with Continued Pretraining of LLMs
For leaning purposes, I ran an experiment where I used Unsloth to train a model on a new domain using continued pretraining. Then…
Meta expands subscription push with new AI-focused plans
Meta One bundles expanded access to the company’s AI tools with premium features across Facebook, Instagram, and WhatsApp.
Dense vs. MoE Models: Active Parameters, Throughput, and When to Choose Each
How can a 30B-parameter model activate only 3B parameters per token, and still use the capacity of the larger model? Nemotron 3.5…
Tables Decoded: DELTA for Structure, TARQA for Understanding
Table understanding is a core task in document intelligence, encompassing two key subtasks: table reconstruction and table visual…
From Megawatts to Tokens: How NVIDIA Maximizes AI Factory Production
On a sweltering August evening in Silicon Valley, as the sun dropped and air conditioning loads spiked, Silicon Valley Power sent…
AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories
Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA, Tuesday spoke on AI factory efficiency at the AI…
How NVIDIA Groq 3 LPX Deterministic Execution Drives Power-Efficient High-Interactivity Inference on NVIDIA Vera Rubin
Power is a defining constraint for AI factories. As AI workloads demand a full compute platform to serve them, each component of…
Gratuit, zilnic
Briefingul HapnGo, în inboxul tău
Un email pe zi cu știrile AI care contează, de ce contează și un instrument care merită încercat. Fără spam, dezabonare dintr-un clic.