The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

Supercomputers are powerful machines designed for complex problem-solving, using parallel computing with thousands of ...

The University of Delaware announced that Professor Sunita Chandrasekaran has been named winner of the Association for ...

World Finals held in Baku, Azerbaijan, Google's Gemini 2.5 Deep Think artificial intelligence system achieved a historic breakthrough. In this premier competition that brought together 139 top ...

Now, Chandrasekaran has been selected to receive a prestigious global honor. ACM, the world’s largest computing society, has ...

OpenMP is the unsung backbone of parallel computing, powerful, portable, and surprisingly simple. Used everywhere from ...

Analysts project the global neuromorphic computing market to skyrocket – from roughly $7.5 billion in 2024 to nearly $59 ...

Therefore, parallel computing and acceleration techniques have become crucial in the research and application of neural networks, as they can significantly enhance the performance and efficiency of ...

Nvidia, the world's largest producer of discrete graphics processing units (GPUs), still sells the best picks and shovels for ...

Parallel Works, a provider of the ACTIVATE control plane for hybrid multi-cloud computing resources, today announced - Read ...

AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU entirely, but by surpassing it in relevance, performance, and versatility ...