Here’s how researchers in Asia-Pacific are using AlphaFold
Learn more about AlphaFold, Google’s AI system that accurately predicts protein structures.
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Last Week in AI: OpenAI’s “Code Red”, Anthropic’s Quiet Confidence, Claude 4.5, Gemini 3 Dominance, and Meta’s Publisher Deals (Dec 1–7, 2025)
Author(s): AIversity Originally published on Towards AI. Your weekly breakdown of what actually mattered in artificial intelligence — without the noise. This week was pure fire — from OpenAI’s urgent “code red” scramble against Google’s Gemini 3 dominance, Anthropic’s cool-headed Claude 4.5 launch and 300K+ enterprise customers, to Meta’s blockbuster publisher deals and DeepSeek’s open-source bombshells that rival the giants at 30x lower cost. Image Created by AuthorThe article discusses the key highlights from the past week in […]
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Spotify’s new ‘Prompted Playlists’ feature curates highly-personalized playlists for you using AI
Key Highlights: Spotify isn’t shying away from bringing new AI features to its platform. The music-streaming giant has now announced a new feature that gives users more control over the service’s algorithm. Prompted Playlists is an evolved version of Spotify’s AI Playlists Well… that’s how Spotify is positioning the launch of its new “Prompted Playlists” feature. So, what’s new feature all about? Basically, it allows you to describe what you want to hear in a personalized playlist, which […]
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YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World
A detailed walkthrough of the YOLOv1 architecture and its PyTorch implementation from scratch The post YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World appeared first on Towards Data Science.
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Interview: From CUDA to Tile-Based Programming: NVIDIA’s Stephen Jones on Building the Future of AI
As AI models grow in complexity and hardware evolves to meet the demand, the software layer connecting the two must also adapt. We recently sat down with Stephen Jones, a Distinguished Engineer at NVIDIA and one of the original architects of CUDA. Jones, whose background spans from fluid mechanics to aerospace engineering, offered deep insights into NVIDIA’s latest software innovations, including the shift toward tile-based programming, the introduction of “Green Contexts,” and how AI is rewriting the rules […]
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Harness hits $5.5B valuation with $240M raise to automate AI’s ‘after-code’ gap
Goldman Sachs has led Harness’s Series E round, with participation from IVP, Menlo Ventures, and Unusual Ventures.
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GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems
Smarter retrieval strategies that outperform dense graphs — with hybrid pipelines and lower cost The post GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems appeared first on Towards Data Science.
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Gemini 3 and Nano Banana Pro in Search are coming to more countries around the world.
We’re bringing our most intelligent model yet, Gemini 3 Pro, to Google Search in more countries around the world.
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Discipline Expert: The Tiny Habit That Finally Makes You Lose Weight! The 2-Minute Trick!
Ready to make habits that stick in 2026? Atomic Habits author JAMES CLEAR reveals the science behind building lasting habits, breaking bad ones, and how 1% improvements transform your entire life! James Clear is a #1 international bestselling author and habit formation expert, best known for his book “Atomic Habits”, which sold over 25 million copies worldwide. He writes the ‘3-2-1 Newsletter’ (read by millions weekly) and recently published ‘The Atomic Habits Workbook’. He explains: ◼️The 2-minute trick […]
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KV Cache Optimization via Tensor Product Attention
Home Table of Contents KV Cache Optimization via Tensor Product Attention Challenges with Grouped Query and Multi-Head Latent Attention Multi-Head Attention (MHA) Grouped Query Attention (GQA) Multi-Head Latent Attention (MLA) Tensor Product Attention (TPA) TPA: Tensor Decomposition of Q, K, V Latent Factor Maps and Efficient Implementation Attention Computation and RoPE Integration KV Caching and Memory Reduction with TPA PyTorch Implementation of Tensor Product Attention (TPA) Tensor Product Attention with KV Caching Transformer Block Inferencing Code Experimentation Summary […]
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