4 posts published in the last hour 08:32Inertia Enterprises finds a way to make its fusion fuel fast 08:31RayNeo’s new AI glasses skip the camera, focus on text overlays 08:03Broadening access to Skala creates a faster path to predictive DFT…
Inertia Enterprises finds a way to make its fusion fuel fast
Fusion power startup Inertia Enterprises reduced the fuel filling process from a week to just a few hours. It’s one of 10 hurdles the company must…
RayNeo’s new AI glasses skip the camera, focus on text overlays
RayNeo is launching a new headset without a camera or speakers. The article RayNeo’s new AI glasses skip the camera, focus on text overlays appeared first…
Broadening access to Skala creates a faster path to predictive DFT
Skala 1.1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the…
Netflix tests language model as alternative to hand-built recommendation logic
Netflix pitted its years-old recommendation engine against an in-house language model called GenRec and says it got better results. Instead of relying on…
Psychological methods reveal major weaknesses in AI security testing
Researchers at the UK AI Security Institute used psychometric methods to show that popular safety benchmarks for language models don’t measure one…
AI News Brief Hourly Summary 2026-08-22 04h : 12 posts
12 posts published in the last hour 01:32PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX 01:32Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection 01:32When Is Shallow Enough? Adaptive Split Federated Learning with…
PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX
arXiv:2608.17379v2 Announce Type: replace-cross Abstract: We introduce PTXBench, a benchmark for evaluating and adapting large language models (LLMs) to…
Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection
arXiv:2608.17965v2 Announce Type: replace-cross Abstract: Online log anomaly detection is critical for maintaining the reliability of large-scale…
When Is Shallow Enough? Adaptive Split Federated Learning with Client-Specific Sufficiency Estimation
arXiv:2608.15639v2 Announce Type: replace-cross Abstract: \textit{Split Federated Learning} (SFL) enables distributed model training by splitting networks…
Ask to Be Sure: Informative Interactions for Confident Multi-Turn LLM Recommendation
arXiv:2608.15949v2 Announce Type: replace-cross Abstract: Recent advances in large language models (LLMs) have enabled their use as conversational…
Build intelligent security for healthcare APIs with Amazon Bedrock
Learn how to add context-aware security monitoring to FHIR APIs using Amazon Bedrock. This post shows how to detect anomalous access patterns, classify…
Why Do AI Agents Break Rules? How Framing, Context, and Social Signals Shape Compliance
arXiv:2608.12323v2 Announce Type: replace-cross Abstract: Specifying a penalty can turn a legal obligation into a cost-benefit calculation that favors…
Anatomy Contextualized Adaptation of CT Foundation Models
arXiv:2607.27154v2 Announce Type: replace-cross Abstract: CT vision-language foundation models have demonstrated promising performance across downstream…
FinVerse: Financial Time-Series Benchmark
arXiv:2608.03259v2 Announce Type: replace-cross Abstract: As time-series foundation models have emerged, the need for benchmarks that can evaluate their…
A Distributional Robustness Margin For Pathology Foundation Models
arXiv:2607.25497v3 Announce Type: replace-cross Abstract: Pathology foundation models encode non-biological variation introduced by tissue preparation,…
Socioduality: A Relational Process Framework for Human-AI Interaction
arXiv:2608.11322v2 Announce Type: replace-cross Abstract: Human-AI research often evaluates individual capabilities, joint performance, or final outputs,…
A Model-Internal Protocol for Assessing Multimodal Models as Integrated Systems
arXiv:2608.11907v2 Announce Type: replace-cross Abstract: As Large Vision-Language Models increasingly aim to integrate visual generation and…