Keysight Unveils Machine Learning Toolkit to Accelerate Device Modeling and PDK Development

Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization ...

Will AI‑Driven Modeling Breakthrough in Semiconductor Design Change Keysight Technologies' (KEYS) Narrative?

Keysight Technologies has recently launched a new Machine Learning Toolkit within its Device Modeling Software Suite, using ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Devdiscourse

AI-driven rainfall forecasting shows major gains in predicting flood-triggering storms

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
IT-Online

Machine Learning Engineer (Model Deployment or MLOps) (CPT Hybrid or Remote)

ENVIRONMENT: A fast-paced FinTech company seeks a passionate Machine Learning Engineer (MLOps focus) to power instant lending decisions – no humans in the loop. Its models drive credit risk, portfolio ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
CMSWire

7 AI Competencies Marketers Must Master in 2026

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.

Automated Machine Learning Market to Grow at a Robust CAGR of 45.90%, Crossing USD 35.5 Billion by 2032 Amid Rapid Enterprise AI Adoption | Analyst…

North America Captures a Significant Revenue Share in the Automated Machine Learning Market, Supported by Government-Backed ...