Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

I've issued three monster articles (and four podcasts) about SAP Sapphire - but it wasn't enough. To kick off my spring event ...

Using machine learning and math, a BYU student improved a key tool firefighters rely on during wildfire season ...

In 1968, Stanley Kubrick released “2001: A Space Odyssey” and creeped out an entire country with the idea of a future ...

That's the case that more intentional artists — such as the composer Holly Herndon, who branched out into new vocal techniques via a machine learning model she trained on her own voice — have made for ...

The large language models LLMs in education market size has grown exponentially in recent years. It is predicted to grow from $3.44 billion in 2024 to $5.09 billion in 2025 at a compound annual growth ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

NIPT tests work by scouring the mother’s blood for DNA fragments and mapping them to their chromosome of origin. Around 10% ...

A machine learning model may be reliable for determining risk for postpartum depression, underscoring the need for greater mental health screening in those who have recently given birth, according ...

"Machine learning model helps identify patients at risk of postpartum depression." ScienceDaily. ScienceDaily, 19 May 2025. <www.sciencedaily.com / releases / 2025 / 05 / 250519131029.htm>.

Inside the Session What: Predicting the Future using Azure Machine Learning When: Aug. 7, 2025, 9:30 a.m. - 10:45 a.m. Who: Eric D. Boyd, Founder and CEO of responsiveX Why: Learn the fundamentals of ...