GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

Abstract: Distributed matrix-vector multiplication plays a key role in numerous computing-intensive applications, including machine learning, by leveraging distributed computing resources known as ...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

Previously, Anthropic did not train its Claude AI models on user chats and committed to auto-deleting the data after 30 days, TechCrunch reports. Now, it's asking you to "help improve Claude" by ...

It would be great to have the ability to add and subtract vectors without having to do it manually. It would both make the code more readable and improve the performance. Right now adding one vector ...

Grok 4 is a huge leap from Grok 3, but how good is it compared to other models in the market, such as Gemini 2.5 Pro? We now have answers, thanks to new independent benchmarks. LMArena.ai, which is an ...

Breakthroughs in pure mathematics can take decades. A new Defense Department initiative aims to speed things up using artificial intelligence. By Alexander Nazaryan Artificial intelligence can write a ...

This tutorial will walk you through using PyTorch to implement a Neural Collaborative Filtering (NCF) recommendation system. NCF extends traditional matrix factorisation by using neural networks to ...

Abstract: Merge mode has been utilized in advanced video coding standards to facilitate the efficiency of Motion vector (MV) or Block Vector (BV) coding. Merge mode constructs multiple MVs or BVs as ...

The field of artificial intelligence (AI) continues to evolve, with competition among large language models (LLMs) remaining intense. Despite recent advances pushing the boundaries of what these ...