arXiv:2605.17985v2 Announce Type: replace-cross Abstract: We propose a new method for compressing physics foundation models (PFMs) which is a new trend in…
Author: script
IBM partners with OpenAI to bolster enterprise AI push
IBM plans to train and certify tens of thousands of consultants on OpenAI’s technologies as part of this deal.
INSHAPE: Instance-Level Shapelets for Interpretable Time-Series Classification
arXiv:2605.20088v2 Announce Type: replace-cross Abstract: Discovering shapelets — i.e., discriminative temporal patterns within time series — has been…
Jito Chadha, Founder and CEO of Nventr – Interview Series
Jito Chadha, Founder and CEO of Nventr, is an experienced technology executive and investor whose career spans artificial intelligence, data science,…
Dimensional Balance Improves Large Scale Spatiotemporal Prediction Performance
arXiv:2605.18793v3 Announce Type: replace-cross Abstract: Accurate spatiotemporal pattern analysis is critical in fields such as urban traffic,…
Zoom In, Reason Out: Efficient Far-field Anomaly Detection in Expressway Surveillance Videos via Focused VLM Reasoning Guided by Bayesian Inference
arXiv:2604.23724v4 Announce Type: replace-cross Abstract: Expressway video anomaly detection is important for traffic safety, but remains challenging…
Cerebras Runs OpenAI’s GPT-5.6 Sol at 750 Tokens Per Second in New Ultrafast Tier
Cerebras is now running OpenAI’s flagship model at a speed no GPU cloud has publicly matched. On August 13, 2026, the wafer-scale chipmaker announced it…
New benchmark confirms AI models still perform poorly at visual perception
Moonshot AI’s PerceptionBench tests how well multimodal AI models can actually “see,” separate from logical reasoning. No frontier model reaches 60…
In-context superposition: human-like working memory interference in large language models
arXiv:2604.09670v3 Announce Type: replace-cross Abstract: Intelligent systems must maintain and manipulate task-relevant information online to adapt to…
The builder’s guide to GPT‑5.6
Learn how startups use GPT-5.6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities.