LIVE PULSE
4.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.2 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.0 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src1.8 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.4 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.1 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.1 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.1 Study examines issue bias in LLMs used as writing assistants before Swedish 2026 election — 1 src1.1 Study Audits Misalignment in Multi-Modal World Models — 1 src1.1 Retrieval-Grounded Reasoning Approach Proposed for Universal Multimodal Embeddings — 1 src4.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.2 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.0 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src1.8 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.4 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.1 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.1 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.1 Study examines issue bias in LLMs used as writing assistants before Swedish 2026 election — 1 src1.1 Study Audits Misalignment in Multi-Modal World Models — 1 src1.1 Retrieval-Grounded Reasoning Approach Proposed for Universal Multimodal Embeddings — 1 src
HEATPULSEAI MAGAZINES
FLIP · FOLLOW · SAVE
Log inSign up

scientific computing

topic3 events
papersTODAY 04:00 UTC

ECAS: Edge-Controlled Agentic System for Validation-Gated Scientific Execution

A new arXiv paper introduces ECAS, an agentic system that uses large language models to turn a scientist's high-level goal into correct, target-scale runs on high-performance computing resources. The approach places control at the edge and gates execution behind validation checks, aiming to address how brittle and labor-intensive it currently is to translate research intent into working HPC workflows. The authors position the work as a step toward more reliable LLM-driven scientific computing.

agents/hpc/llm/research
papersTODAY 04:00 UTC

SechKAN: Kolmogorov-Arnold Networks Built With Hyperbolic Secant Activation Functions

Researchers propose SechKAN, a variant of Kolmogorov-Arnold Networks that replaces the usual basis functions with hyperbolic secant functions. The paper argues this design keeps KAN's strengths in machine learning and scientific computing while offering a new direction for neural network architecture. It is a revised arXiv preprint, not yet a released product.

arxiv/kan/neural-networks/research
papersSEP 12 04:00 UTC

Bayesian Framework Unifies Point Set and Image Registration for Scientific Data

A new arXiv paper proposes treating nonrigid registration as a single unified problem, rather than splitting it into point set alignment and continuous intensity field alignment as is conventionally done. The approach, called Domain Elastic Transform, is framed in Bayesian terms and aimed at high-dimensional scientific datasets where existing grid-based and geometry-based methods struggle. It appears as a cross-listed replacement submission on arXiv cs.AI.

research/bayesian/registration/scientific-data