Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

IP that’s built on a RISC-V vector processing CPU. The platform has been augmented to support artificial-intelligence/machine ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

Michela Tindera talks to Elliot Smither, Ethan Salathiel of KPMG, Carolina Garces of Citi and Helen Child of Open Banking ...

The United States stands as the global hub of technological innovation, hosting some of the most influential Information ...

Families of air disaster victims have played a key role in driving safety reforms by exposing failures, demanding ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...