New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating molecules by size. Now, Cornell researchers have created porous materials ...

The dream of creating game-changing quantum computers—supermachines that encode information in single atoms rather than ...

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

On 26 October, the 3rd Hong Kong Clinical-driven Robotics and Embodied AI Technology (CREATE) Symposium opened at the Hong Kong Convention and Exhibition Centre. Organized by the Centre for AI and ...

Working with the same tumor slices that pathologists use to diagnose and guide treatment of patients, however, Carstens can ...

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...

Google’s Quantum Echoes now closes the loop: verification has become a measurable force, a resonance between consciousness and method. The many worlds seem to be bleeding together. Each observation is ...

Following a 4-0 start to the season, there appeared to be no stopping the Buffalo Bills in their quest to earn another AFC East title and the No. 1 seed in the AFC. The Bills (4-2) were averaging over ...