Vertu wants executives to pay $6,880 for an AI agent — here’s how it actually performs
From AI workflows to battery life and security, here's what it's really like to live with Vertu's luxury foldable every day.
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From AI workflows to battery life and security, here's what it's really like to live with Vertu's luxury foldable every day.
Databricks has remade its image into an AI company and has published research on the cost savings of open weight AI models for coding.
If every meeting, watercooler conversation, and date gets transcribed and summarized, who's actually reading any of it?
Agility is opening a new training center for its Digit robots in Fremont, California.
India's smartphone slowdown highlights how the AI boom is reshaping consumer electronics, from pricing and demand to corporate strategy.
The FireSat program can spot wildfires that other satellites miss.
TikTok is starting to test an opt-in tool that scans for AI likenesses and lets creators report them to the company, as spotted by social media consultant Matt Navarra. The tool is initially being tested with "some" US creators, TikTok US spokesperson Zachary Kizer tells The…
PagedWeight: dynamic weight quantization for MoE LLM serving balances model precision against KV-cache memory in inference.
Thermodynamic computing blueprint uses Langevin dynamics in analog hardware for energy-efficient ML workload execution.
Laplacian Optimal Transport method for cluster-aware point cloud matching with region-to-region alignment.
Physics-enhanced reinforcement learning combines RL with optimal control theory for sample-efficient dynamical system control.
Study evaluates open-weight LLMs for extracting structured CVE threat data from autonomous vehicle vulnerability text.
Muon optimizer achieves 88% improvement over AdamW on sparse-reward agentic RL (GiGPO) with Qwen2.5-0.5B.
Behaviour-conditioned Attentive Neural Process framework embeds behavioral structure for residential load forecasting.
ActiveVision benchmark measures whether MLLMs perform active observation via 17 tasks requiring repeated visual perception.
Apple is suing OpenAI. The complaint is readable and intense, as these things often are, though many experts seem to think many of the allegations are just the ways things are done. So what does Apple really want here, and why is it picking such a public fight with OpenAI? On…
PRISA: infrastructure LiDAR framework for real-time intersection safety via privacy-preserving roadside sensor monitoring.
ShellFlow: Riemannian flow matching model generates LHC Standard Model particle events across five decades of invariant mass.
Optimization of Kernel PLS algorithms via parallelizable matrix computations.
Information bottleneck analysis shows multi-agent LLM systems gain advantage only under bandwidth constraints, simulating single-agent with more context.
ToolSciVer framework uses visual tools and RL to improve multimodal scientific claim verification from figures, tables, and charts.
Lightweight framework for auditable trustworthiness assessments in AI lifecycle governance with formal representation and monitoring.
CRAFT converts rubric-based evaluations into capability diagnoses and generates targeted fine-tuning data addressing model weaknesses.
Stratechery weekly digest covering mainframe obsolescence, OpenAI developments, and Netflix competitive position.
Rate-utility frontier analysis compares tokens, bytes, and pixels as language encodings across 13 languages under controlled capacity.
Methodology for harmonized AI safety thresholds across misuse, malfunction, and systemic risks to prevent race-to-the-bottom in standards.
Honest Quorum Problem introduces epistemic faults for Byzantine fault tolerance in agentic validators, extending BFT guarantees to reasoning errors.
Empirical study of how pretraining choices affect RL post-training efficiency and what RL changes in model internals using controlled experiments.
DADiff uses diffusion models for online domain adaptation in RL with limited target interactions and source domain pretraining.
Interpretability study reveals AlphaFold2's learned protein conformational landscapes via Evoformer weight analysis and Gaussian smoothing.