Artificial intelligence just lost a leader
Plus a position-search announcement from NSF Roger Schank just passed away. Roger was a top leader of AI. I overlapped with him for my time at Yale. In 1974, he became a professor of computer scien…
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,334 posts.
Plus a position-search announcement from NSF Roger Schank just passed away. Roger was a top leader of AI. I overlapped with him for my time at Yale. In 1974, he became a professor of computer scien…
The **Gaussian distribution**, or **normal distribution** is a key subject in statistics, machine learning, physics, and pretty much any other field that deals with data and probability.
In recent years, compute-intensive artificial intelligence tasks have prompted creation of a wide variety of custom hardware to run these powerful new systems efficiently. Deep learning models, suc…
My journey from building cricket bots to building “wind tunnels” with my collaborators — and finding the answer hidden in geometry.
Sculpt AI was built by a team of machine learning experts and SALT.agency and is a code-free AI platform. Keep reading to learn more about the benefits of this.
Can we teach a neural network to perform like a human?
A recent paper argues that frontier LLMs can work with neural network weights directly. This seems superhuman, but it isn’t. The paper shows that GPT-6 Astra…
Debugging is difficult. Debugging across multiple languages is especially challenging, and debugging across devices often requires a team with varying skill sets and expertise to reveal the underlying…
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
Computer programs that learn to perform tasks also typically forget them very quickly. We show that the learning rule can be modified so that a program can remember old tasks when learning a new one. This is an important step towards more intelligent programs that are able to learn progressively and adaptively.
For quite some time now, i have been working on and off on a fully self-hosted search engine , in hope to make it easier to search across Personal data in an end to end manner. Even as individuals, we are hoarding and generating more and more data with no end in sight. Such "personal" data is being stored from local…
Google DeepMind proposes a cognitive framework to evaluate AGI and launches a Kaggle hackathon to build capability benchmarks
Throughout the last year I’ve written in detail about the rot in tech — the spuriousness of charlatans looking to accumulate money and power, the desperation of the most powerful executives to maintain control and rapacious growth, and the speciousness of the latest hype cycle — but at the end of
Every agent gets its own isolated container inside a micro VM. No dedicated hardware needed. No complex setup.
Posted by Sergey Levine (Google Brain Team), Timothy Lillicrap (DeepMind), Mrinal Kalakrishnan (X)The ability to learn from experience will likely ...
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
There has been a lot of renewed interest lately in neural networks (NNs) due to their popularity as a model for deep learning architectures (there are non-NN based deep learning approaches based on…
Anthropic's Claude Desktop silently installs a Native Messaging bridge into seven Chromium browsers, including browsers Anthropic's own documentation says it does not support, and browsers the user has not even installed.
Homepage of Tri Dao.
Intel has built a suite of AI tools for Audacity, useful for spoken word audio and music alike. These AI features run 100% locally on your PC.
Implementing Principal Component Analysis from scratch in Python: scatter matrices, eigenvectors, variance explained, and comparison with scikit-learn PCA.
A guided walkthrough of how to use the Prophet python library to solve a common forecasting problem.
Biohub, DOE, NIH, and partners will generate open, standardized data to train AI models that predict how cells respond to interventions.
From paged attention, continuous batching, prefix caching, specdec, etc. to multi-GPU, multi-node dynamic serving at scale.