We’ve celebrated an extraordinary breakthrough while largely postponing the harder question of whether the architecture we’re scaling can sustain the use cases promised.

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

Researchers at Tsinghua University developed PriorFusion, a unified framework that integrates semantic, geometric, and ...

Satyen K. Bordoloi My first memory of cancer is the younger brother of a classmate. Blood cancer, we whispered between ...

Learn how to build secure user portals for content-heavy SaaS using passwordless authentication, RBAC, session security, and CDN protection.

Examines how Kranthi Kumar Routhu anticipated major shifts in AI-driven human capital management, from skills intelligence ...

Researchers at Tsinghua University developed PriorFusion, a unified framework that integrates semantic, geometric, and generative shape priors to ...

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

The number of AI inference chip startups in the world is gross – literally gross, as in a dozen dozens. But there is only one ...

Phoenix Contact, Softing and Mitsubishi/Iconics show how basic best practices provide a solid foundation for cybersecurity ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

In a CiOL interaction, Superteams.ai Founder Soum Paul breaks down enterprise AI adoption, fractional AI teams, governance ...