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How to build your own "Watson Jr." in your basement
IBM Developer is the source for hands-on training and in-demand learning on relevant technologies such as generative AI, data science, Java, and more.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,329 posts.
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Grace Blackwell needs a new scheduler: 27% more usable GPUs from the same racks
NVL72 puts all 72 GPUs in a rack on one NVLink fabric, but only rack-local jobs get the speedup. How SkyPilot keeps multi-node training and inference on NVLink with topology-aware placement, in-place recovery from GPU failures, and automatic defragmentation.
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A Long Peek into Reinforcement Learning
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Most Americans say "not in my backyard" to AI data centers
But a Redfin analysis found that AI data centers have benefits: In northern Virginia, taxes on data center equipment are likely contributing to a surge in education spending.
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The OnlyFans Economy of American AI
“The dreamers look skyward with longing. The Internet hums with its usual promise — you will find your people, your myth, your wonder, and maybe your transformation.”
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Notes on AI Bias
Machine learning is the new centre of tech, and like all big new things there are issues. ‘AI bias’ is much-discussed right now: machine learning finds patterns but sometimes it finds the wrong one, and it can be hard to tell.
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AI Models Predict Breast Cancer with Radiologist-Level Accuracy
The IBM Research blog is the home for stories told by the researchers, scientists, and engineers inventing What’s Next in science and technology.
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Happy 10k Day
Today, we sold the 10,000th comma 3X, our first product breaking 5 digits in sales.
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The Lone Banana Problem in AI
The effects of new technology are seldom either solely positive or solely negative and, as such, there is a responsibility that sits with those that develop technology to consider how it will be used. Underlying that responsibility sits a need to deeply understand technology. The recent rise of Large Language Models…
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Hermes 3: The First Fine-Tuned Llama 3.1 405B Model
Introducing Hermes 3 in partnership with Nous Research, the first fine-tune of Meta Llama 3.1 405B model. Train, fine-tune or serve Hermes 3 with Lambda
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fMRI-to-image with contrastive learning and diffusion priors
a cutting-edge method for reconstructing and retrieving images from fMRI brain activity. Discover how fMRI enables detailed analysis of brain functions and aids in evaluating brain treatments. MindEye's training on the Natural Scenes Dataset brings new insights to neuroscience research. Explore the
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Intel Gaudi2 chips outperform Nvidia H100 on diffusion transformers
Our commitment to developing cutting-edge open models in multiple modalities necessitates a compute solution capable of handling diverse tasks with efficiency. To this end, we conducted a performance analysis, training two of our models, including the highly anticipated Stable Diffusion 3.
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Long Read: Lessons from Building Semantic Search for GitHub and Why I Failed
Made in Notion, the connected workspace where AI agents and teams organize docs, projects and knowledge together.
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A new way to build with Large Language Models
Ultravox is a real-time voice AI infrastructure layer that powers fast, natural, and scalable voice agents.
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Cohere's First Model for Developers
Meet North Mini Code, Cohere's first open-source agentic coding model: a 30B MoE that codes strongly on minimal hardware.
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Fathom: a framework for understanding web pages
Meet Fathom, a mini-language for writing semantic extractors, that you can use client- or server-side to extract meaning from the content of a web page. Scoop up all those ideas ...
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Pruning RAG context down to what the answer actually needs
Pruning agent context down to what the answer actually needs, while keeping 96% of recall
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Approximate Nearest Neighbor Oh Yeah (Annoy)
Discover the capabilities of Annoy, an innovative algorithm revolutionizing approximate nearest neighbor searches for enhanced efficiency and precision.
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AlphaGo’s ultimate challenge: a five-game match against Lee Sedol
Game 5 - March 15, 2016After a loss in Game 4, and a move early on that looked like a mistake, but could have been a creative and effective new move, AlphaGo won Game 5 …
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Trying Kolmogorov-Arnold Networks in Practice
There's been a fair bit of buzz about Kolmogorov-Arnold networks online lately. Some research papers were posted around claiming that they offer better accuracy or faster training compared to traditional neural networks/MLPs for the same parameter count.
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Building a natural description of images
Posted by Google Research Scientists Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan“Two pizzas sitting on top of a stove top oven”...
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Dissecting Reinforcement Learning
Explaining the basic ideas behind reinforcement learning. In particular, Markov Decision Process, Bellman equation, Value iteration and Policy Iteration algorithms, policy iteration through linear algebra methods. It includes full working code written in Python.
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Claude is now available in Europe
Claude, Anthropic's trusted AI assistant, is now available for people and businesses across Europe.