Logical Intelligence Achieves 76 Percent on Putnam Benchmark, Highlighting Shift Beyond Large Language Models to Language-free, Mathematically Grounded Models

Over the last decade, artificial intelligence (AI) has been largely built around large language models (LLMs). These systems are based on a language and guess words in a chain in the form of tokens.
Security Info Watch

Sumo Logic rolls out new Dojo AI agents to streamline SOC investigations

Sumo Logic has announced a significant expansion of its Dojo AI platform, adding a trio of new agentic AI capabilities ...
Semiconductor Engineering

Ensuring Accuracy in LLM-Generated Hardware Logic Design Automation (IBM Research)

A new technical paper “Mitigating hallucinations and omissions in LLMs for invertible problems: An application to hardware ...
Semiconductor Engineering

Smaller Geometries, Bigger Demands: The Role Of OCD In GAA Logic And Vertical Gate DRAM Process Control

AI workloads are pushing the boundaries of compute, memory, and interconnect architectures, and to meet these goals, ...
dbta

Data Modeling

Cofense, a leader in intelligence-driven phishing defense, is enhancing its portfolio, introducing Smart Reinforcement within its Security Awareness Training solution, and unveiling the latest release ...
Hosted on MSN

Cold logic about the future of data

Inside a cavern cut into a Norwegian fjord, the air is so cold and so still that it feels suspended. The place once stored mining gear. Now it stores something far more volatile. Rows of processors ...