Learn how to choose the best GPU for your PC upgrade. Compare gaming graphics cards, performance benchmarks, and ...

The Olares One isn’t the only new mini PC with NVIDIA RTX 50 Series graphics. Chinese PC maker Thunderobot has introduced a ...

Nvidia and TSMC are the key beneficiaries of rapid expansion in global AI infrastructure. Nvidia’s annual product cadence and full-stack AI platform are its key strengths. TSMC’s leadership in ...

TL;DR: Battlefield 6 has launched with nearly 750,000 peak Steam players, delivering large-scale multiplayer battles and improved performance over previous titles. AMD's Adrenalin Edition 25.10.1 ...

I built a new PC last night with the MSI MAG B850 Tomahawk MAX WiFi. I like the board so far but I had a scary moment where I couldn’t get my GPU to release. It was a BUTTON forward of the GPU slot.

Nvidia remains the premier AI and semiconductor leader, with robust revenue and EPS growth justifying its $4.6 trillion valuation and potential for $5 trillion. NVDA trades at a premium, but its rapid ...

Abstract: Vision Transformers (ViTs) have demonstrated remarkable performance in computer vision tasks by effectively extracting global features. However, their self-attention mechanism suffers from ...

Google Colab, also known as Colaboratory, is a free online tool from Google that lets you write and run Python code directly in your browser. It works like Jupyter Notebook but without the hassle of ...

What we know so far: Chinese tech firm Innosilicon Technology has unveiled the Fenghua No. 3 graphics card, a homegrown GPU built entirely on a new architecture. The launch marks a major step forward ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

Abstract: Tree search algorithms, such as the Branch-and-Bound (B&B) method, are essential tools in exact combinatorial optimization. Parallel B&B presents significant challenges in achieving ...

Deep-learning throughput hinges on how effectively a compiler stack maps tensor programs to GPU execution: thread/block schedules, memory movement, and instruction selection (e.g., Tensor Core MMA ...