OpenAI launched a light-up keyboard designed to complement its agentic coding app, marking the company's foray into integrated AI-driven hardware solutions. The release comes amid a legal dispute with…
Only 5% of enterprises trust AI agents in production despite 85% piloting them, Amazon AGI lab's Bryan Silverthorn said at VB Transform 2026, urging a shift from benchmarks to reliability metrics like…
Film studio Fountain 0 announced 'Odysseus: The Fall,' an AI-generated film based on Homer's epic, set for release later this year to compete with Christopher Nolan's 'The Odyssey,' which is projected…
Amazon Web Services has introduced AI-assisted features for its Marketplace, including a Product Assistant chat tool that helps independent software vendors and consulting partners create product list…
Thinking Machines, founded by former OpenAI CTO Mira Murati, has launched Inkling, an open-weight AI model with 975 billion parameters and a Mixture-of-Experts architecture that activates only 41 bill…
A new AI system called MEDA, which combines large language models with symbolic regression, aims to automate scientific discovery by modeling biological systems through ordinary-differential-equation …
A new data provenance system called ob enables record- and token-level tracing for precise data deletion, reducing over-deletion from 101x to 1.3x in tests on 219,555 Wikipedia pages. The system adds …
OPINE-World, an LLM agent developed by an unnamed research team, achieved a 78.4% action-efficiency score against a human baseline by solving 20 out of 25 games on the ARC-AGI-3 benchmark without per-…
Researchers propose using imitation learning to train reinforcement learning agents for cyber-defense, enabling them to predict attacker actions in partially observable networks. By integrating neuros…
A new study finds that denoising audio with SAM-Audio preprocessing paradoxically worsens zero-shot automatic speech recognition (ASR) performance. Researchers tested five OpenAI Whisper variants on n…
A new hybrid AI model integrating Radial Basis Function reconstruction, neural networks, and partial differential equation solvers outperforms traditional methods in generating dense physical fields f…
A study of Llama-3 and Qwen-3 models found that supervised fine-tuning (SFT) establishes a model's value system, while subsequent preference optimization algorithms do not significantly alter alignmen…
A new theoretical framework from researchers studying multi-agent systems shows that breaking complex tasks into simpler sub-problems handled by multiple AI agents can overcome single-model limitation…
A new multi-modal dataset from Catalonia, Spain, includes around a million side-scan sonar tiles, bathymetric maps, and co-registered optical images from autonomous underwater vehicle surveys, with ab…
A new diagnostic called 'operator-on-F' reveals that traditional reward-prediction metrics in reinforcement learning are poor indicators of planning performance, with operator error showing a Spearman…
A new machine-learning framework using a multi-armed bandit algorithm dynamically selects inductive generalization strategies for the IC3 hardware model checker, solving 26 to 50 more cases than tradi…
New research shows that incentivizing diversity in AI exploration through a representation-based bonus derived from hidden states of pre-trained models boosts verifier efficiency by over 50% for the Q…
A new universal operator approximation theorem for encoder-decoder architectures, developed by researchers, challenges traditional constraints by operating independently of compact sets and accommodat…
A new approach to polynomial approximation using one-sided weighted deep polynomials promises precision for asymmetrical functions, with numerical tests on Black-Scholes option-pricing functions showi…
NSNQuant, a calibration-free vector quantization method developed by researchers, promises up to 3x throughput gains for language model inference by compressing the key-value cache without relying on …