Nucleus Research Releases 2026 DSML Technology Value Matrix

In 2026, the data science and machine learning (DSML) platform market is delivering measurable ROI through the rise of agentic AI and the shift toward autonomous analytics execution. Platforms are no ...

Six tips for getting the most out of a public university education in Massachusetts

Enrollment in the state’s five University of Massachusetts campuses, nine state universities, and 15 community colleges grew ...

Building The Power Grid For Space-Based Data Centers

How a new startup plans to power satellites with lasers. A new class of ultrafast AI chips also uses lasers. And startup ...

Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

New AI method flags fluid flow tipping points before simulations break down

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
CoinDesk

Trump-backed WLFI token drops 12% to record lows after team defends multi-million lending position

World Liberty Financial responded to CoinDesk's reporting by saying it would "simply supply more collateral" if markets moved against it, a statement that did not reassure holders.
The Next Web

Databricks co-founder Matei Zaharia wins ACM Prize and declares AGI is already here

Apache Spark creator and Databricks CTO Matei Zaharia wins the 2026 ACM Prize in Computing and argues that AGI has already ...
Tech Xplore on MSN

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold ...
University of Surrey

Data-efficient and transferable machine learning-based predictive models for catastrophic risk assessment in offshore wind infrastructure

This industry-collaborative PhD project offers the opportunity to work at the intersection of machine learning, structural engineering and renewable energy to develop innovative and impactful ...