Abstract: Data accomplishes astonishing sensation; however, the data's massiveness and distinctive features are obstacles to acquiring promising results. Feature selection (FS) algorithms can develop ...

Have You Fully Addressed the Security of Your Non-Human Identities? When considering the complexities of cybersecurity, one might focus on human-related threats. Yet, in cybersecurity, Non-Human ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

James Georgalakis and Knowledge Manager, Alan Stanley share the shifts in theory and practice they have witnessed and consider the future of knowledge for development in the age of AI.

A Dartmouth study challenges the conventional view that the amygdala-the two-sided structure deep in the brain involved in emotion, learning, and decision making-is simply the brain's primitive "fear ...

Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...

A Dartmouth study challenges the conventional view that the amygdala—the two-sided structure deep in the brain involved in ...

Against the backdrop of the global AI boom, how should Chinese enterprises navigate in the new landscape? During WAIC Up! 2026, held on January 16th, Fu Sheng, Chairman and CEO of Cheetah Mobile and ...

Conflict forecasting, using AI and vast amounts of data, is evolving fast. The Middle East's authoritarian regimes could well be among the first in the world to use it to stop protests — before they ...

As IoT and AI ecosystems mature, enterprises are rejecting vendor lock-in in favor of interoperability. Here's what leaders need to know.

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