How Zak Brown Led the Revival of McLaren Racing
The CEO of the F1 champion-winning team discusses the hurdles he faced reversing McLaren’s negative momentum.
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7 Steps to Mastering Agentic AI
As AI systems begin handling more complex, multi-stage tasks, understanding agentic design is becoming essential. This article outlines seven practical steps to build reliable, effective AI agents.
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How to pass the AI-900 Azure AI Fundamentals in one day
Author(s): Laura Verghote Originally published on Towards AI. A practical step-by-step guide with study tips, resources, and exam insights that actually work Passing the AI 900 Microsoft Azure AI Fundamentals exam in a single day might sound bold, but if you already understand basic AI concepts or have cloud experience with another provider, it is absolutely possible. I managed it with solid AI and AWS knowledge, even though I was completely new to Azure. Free full article for […]
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A greener way to 3D print stronger stuff
3D printing has come a long way since its invention in 1983 by Chuck Hull, who pioneered stereolithography, a technique that solidifies liquid resin into solid objects using ultraviolet lasers. Over the decades, 3D printers have evolved from experimental curiosities into tools capable of producing everything from custom prosthetics to complex food designs, architectural models, and even functioning human organs. But as the technology matures, its environmental footprint has become increasingly difficult to set aside. The vast majority […]
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KV Cache Optimization via Multi-Head Latent Attention
Home Table of Contents KV Cache Optimization via Multi-Head Latent Attention Recap of KV Cache The Need for KV Cache Optimization Multi-Head Latent Attention (MLA) Low-Rank KV Projection Up-Projection Decoupled Rotary Position Embeddings (RoPE) RoPE in Standard MHA Challenges in MLA: The Need for Decoupling PyTorch Implementation of Multi-Head Latent Attention Multi-Head Latent Attention Toy Transformer and Inference Experiments and Analysis Summary Citation Information KV Cache Optimization via Multi-Head Latent Attention Transformer-based language models have long relied on […]
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NVIDIA Releases New AI Models and Developer Tools to Advance Autonomous Vehicle Ecosystem
Autonomous vehicle (AV) stacks are evolving from many distinct models to a unified, end-to-end architecture that executes driving actions directly from sensor data. This transition to using larger models is drastically increasing the demand for high-quality, physically based sensor data for training, testing and validation. To help accelerate the development of next-generation AV architectures, NVIDIA today released NVIDIA Cosmos Predict-2 — a new world foundation model with improved future world state prediction capabilities for high-quality synthetic data generation […]
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From Transformers to Associative Memory, How Titans and MIRAS Rethink Long Context Modeling
What comes after Transformers? Google Research is proposing a new way to give sequence models usable long term memory with Titans and MIRAS, while keeping training parallel and inference close to linear. Titans is a concrete architecture that adds a deep neural memory to a Transformer style backbone. MIRAS is a general framework that views most modern sequence models as instances of online optimization over an associative memory. Why Titans and MIRAS? Standard Transformers use attention over a […]
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3 Questions: How AI is helping us monitor and support vulnerable ecosystems
A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being overexploited, and climate change. To better understand these changes and protect vulnerable wildlife, conservationists like MIT PhD student and Computer Science and Artificial Intelligence Laboratory (CSAIL) researcher Justin Kay are developing computer vision algorithms that carefully monitor animal populations. A member of the lab of MIT Department of Electrical Engineering and […]
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Why Cursor’s CEO believes OpenAI, Anthropic competition won’t crush his startup
After reaching $1 billion in annualized revenue, Anysphere CEO Michael Truell explained the features his company is focused on building out.
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Learn more about AI in the workplace in our new research report.
A new global survey of executives, decision makers and knowledge workers reveals that organizations truly transforming with AI are seeing real results that move their bu…
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