As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...

Discover what Path to Profitability (P2P) means and why it's crucial for investors and startups. Learn how to plan a profitable journey for business success.

After a year-long effort that began with more than 800 entries, industry judges and ENR editors have selected a trio of complex and critical projects as Project of the Year finalists in ENR’s 2025 ...

KANSAS CITY, Mo. – David Blough could do wonders to resurrect Jayden Daniels’ career in Washington. But history isn’t on the side of the path Dan Quinn chose to replace his offensive coordinator.

DeepSeek published a paper outlining a more efficient approach to developing AI, illustrating the Chinese artificial intelligence industry’s effort to compete with the likes of OpenAI despite a lack ...

The inclusion of fictional substances is being called an embarrassment by one state official, a possible practical joke by coal industry leaders and mystifying by the lawmakers who worked on the bill.

Every construction and engineering project, regardless of its scale, hinges on a single critical element: the schedule. It’s more than a timeline; it’s the multidimensional blueprint that guides every ...

As the U.S. and other Western countries rush to secure access to critical minerals, companies face pressure to move quickly and dispense with environmental and social protections. This briefing note ...

At a time when the world offers “many counter-examples” of what a healthy marriage should look like, Pope Leo XIV has urged couples to look to Sts. Louis and Zélie Martin — the parents of St. Thérèse ...

As data center growth across the United States is expected to create unprecedented stress on electrical grids, PJM Interconnection, a pivotal grid operator that has come under criticism for delays, is ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.