Project 1: Learning CUDA programming basics. Project 2: Performance optimization and advanced techniques. Project 3: Domain-specific implementation and scalability.

A deep dive into GPU programming and parallel computing This repository documents my 100-day journey of learning and writing CUDA kernels. The goal is to explore GPU acceleration, optimize parallel ...

The Chinese firm has pulled back the curtain to expose how the top labs may be building their next-generation models. Now ...

DeepSeek's free model R1 disrupts the industry, costing US markets $1 trillion and prompting rapid competitor responses amid ...

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

DeepSeek released a chatbot called DeepSeek-R1 on 20 January (a nimbler, cheaper cousin of their 2024 DeepSeek-V3). They claimed it cost them under $6m to train. Given that AI elephants like OpenAI ...

Financial writer discusses how the recent stock dip in Nvidia Corporation is a buying opportunity ahead of Q4 earnings. Click ...

Nvidia Corporation faces threats to its valuation and market dominance from competitors like AMD and tech giants developing ...

In today’s rapidly advancing digital world, programming has become an essential skill, much like reading and writing. As ...

Startups and big tech companies have aggressively used AI to help developers write code or learn programming better. People ...

The course covers essential programming concepts such as functions, loops, variables, and conditions, while providing a foundation for learning traditional programming languages like Python and Java.

Research analyst Dan Ives just compared DeepSeek's AI model to Chinese online retailer Temu.