Pioneering computer scientist who devised the Quicksort algorithm, ways of verifying programs and guards against hackers ...

The next major advance in medical AI may lie not in analyzing more data, but in understanding how health data change over time. A recent editorial in Intelligent Medicine argues that dynamics-driven ...

Dhruv Patel's work demonstrates how advanced expertise in distributed systems, AI, and cybersecurity can influence digital ...

Harvard researchers have launched the Differential Privacy Deployments Registry, a public database that catalogs real-world uses of differential privacy by companies and agencies to better protect ...

When Apple discovers trending popular emojis, or when Google reports traffic at a busy restaurant, they're analyzing large datasets made up of ...

The same capabilities that make AI valuable for cybersecurity, including autonomous operation, rapid decision-making at scale, and minimal human oversight, are also the ones most likely to cause harm.

Instead, we will address a more fundamental issue: the need for true collaboration between engineering and network security. IT/OT convergence is often defined as collaboration between IT and OT ...

Vivekanand Education Society’s Institute of Technology, Mumbai, concluded its HACK4INNOVATION 2026, organised by the VESIT ...

A transformer is a neural network architecture that changes data input sequence into an output. Text, audio, and images are ...

A growing number of Chinese-born semiconductor engineers are leaving the U.S. and returning to China as Beijing pushes to ...

Robots are getting a sense of touch. Researchers at the University of Texas have developed robotic hands that can gently grasp fragile objects like potato chips and raspberries by sensing pressure and ...

To move beyond AI pilots and into production, CIOs must shift their focus beyond just managing data to architecting the “logic of choice” through decision products.