Microsoft and Google are late to AI coding, but 'absolutely critical' they compete for growth

Coding tools are becoming an increasingly big target for Google and Microsoft as they try to catch up to Anthropic and OpenAI ...
Tech Times

AI vs AI Cybersecurity: Sysdig Documents First LLM-Agent Intrusion in the Wild

AI vs AI cybersecurity arrived in documented form on May 10, when an LLM agent drove a four-pivot intrusion to database exfiltration in under an hour with no human direction. CrowdStrike data puts ...
CNET

Anthropic Says a Mythos-Class AI Model Will Be Available Soon

The new Claude Opus 4.8 is a "modest but tangible improvement," but a Mythos model you can use may be just weeks away.

Anthropic upgrades Claude with new Opus 4.8 model, details here

Anthropic describes Claude Opus 4.8 as having “sharper judgement, more honesty about its progress, and the ability to work ...

Millions of AI agents imperiled by critical vulnerability in open source package

Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to ...
Analytics Insight

Machine Learning and AI with Python (Online), Harvard University

Machine Learning and AI with Python" is an intermediate online course on edX, supported by Harvard SEAS. It teaches AI-driven decision-making using Python, cove ...
Outlook Business

A Million Projects: The Proof Behind Ulipsu’s Skill Education Model

Ulipsu’s embedded skill education model has enabled over a million student projects across 350+ schools in India and abroad.
IEEE

Enhancing Small Model Performance in Educational Classification Tasks through Knowledge Distillation

Abstract: As the demand for precision, efficiency, and low-cost solutions in educational classification tasks continues to grow, enhancing model performance has become a critical focus of research.
IEEE

An Intelligent Class – The Sequel: The Development Of A Novel Context Capturing Method For The Functional Auto Classification Of Records

Abstract: The need to accurately classify records is a core problem in many domains. Historically, the classification of records was done manually as records were received and then categorized.