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

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

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 ...

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

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

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

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

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 ...