Microsoft to invest $17.5B in India by 2029 as AI race accelerates
The latest is Microsoft’s largest investment in Asia.
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The Machine Learning “Advent Calendar” Day 8: Isolation Forest in Excel
Isolation Forest may look technical, but its idea is simple: isolate points using random splits. If a point is isolated quickly, it is an anomaly; if it takes many splits, it is normal. Using the tiny dataset 1, 2, 3, 9, we can see the logic clearly. We build several random trees, measure how many splits each point needs, average the depths, and convert them into anomaly scores. Short depths become scores close to 1, long depths close […]
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Rivian is building its own AI assistant
The EV maker will likely share more details on its upcoming AI and autonomy day scheduled for December 11.
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Video: the LLM 2.0 Revolution
What if you could build a secure, scalable RAG+LLM system – no GPU, no latency, no hallucinations? In this session, Vincent Granville shares how to engineer high-performance, agentic multi-LLMs from scratch using Python. Learn how to rethink everything from token chunking to sub-LLM selection to create AI systems that are explainable, efficient, and designed for enterprise-scale applications. What you’ll learn: How to build LLM systems without deep neural nets or GPUs Real-time fine-tuning, self-tuning, and context-aware retrieval Best […]
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AI Maps Titan’s Methane Clouds in Record Time
Methane clouds on Titan, Saturn’s largest moon, are more than just a celestial oddity — they’re a window into one of the solar system’s most complex climates. Until now, mapping them has been slow and grueling work. Enter AI: a team from NASA, UC Berkeley and France’s Observatoire des Sciences de l’Univers just changed the game. Using NVIDIA GPUs, the researchers trained a deep learning model to analyze years of Cassini data in seconds. Their approach could reshape […]
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Inside Coinbase’s Mission-First, Remote-First Bet
How far can a company go to align culture and control systems around a single mission without narrowing its talent pool?
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The Machine Learning “Advent Calendar” Day 9: LOF in Excel
In this article, we explore LOF through three simple steps: distances and neighbors, reachability distances, and the final LOF score. Using tiny datasets, we see how two anomalies can look obvious to us but completely different to different algorithms. This reveals the key idea of unsupervised learning: there is no single “true” outlier, only definitions. Understanding these definitions is the real skill. The post The Machine Learning “Advent Calendar” Day 9: LOF in Excel appeared first on Towards […]
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OpenAI and NORAD team up to bring new magic to “NORAD Tracks Santa”
OpenAI and NORAD are bringing new magic to “NORAD Tracks Santa” with three ChatGPT holiday tools that let families create festive elves, toy coloring pages, and custom Christmas stories.
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COVID and the Craving for Certainty
In March of 2020, I published an essay warning both the public and our policymakers against overreacting to the COVID threat. We overreact, I argued, in times of “epistemic uncertainty,” when we do not know enough about a threat we face and are unclear about our best response. Continue Reading…
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New AI agent learns to use CAD to create 3D objects from sketches
Computer-Aided Design (CAD) is the go-to method for designing most of today’s physical products. Engineers use CAD to turn 2D sketches into 3D models that they can then test and refine before sending a final version to a production line. But the software is notoriously complicated to learn, with thousands of commands to choose from. To be truly proficient in the software takes a huge amount of time and practice. MIT engineers are looking to ease CAD’s learning […]
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