Adaption Labs
Adaption Labs, which markets itself as Adaption (legal name Adaption, Inc.), is an artificial intelligence company based in San Francisco that develops AI systems intended to keep learning and adapting after…
Machine Learning
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Showing 1-13 of 13 articles
Chinchilla scaling laws
The Chinchilla scaling laws are a set of empirical findings published by DeepMind researchers in 2022 showing that, for a fixed compute budget, a large language model trains most efficiently when its number of…
FOMO-Dex
FOMO-Dex (short for Force-Modulated Dexterity) is a robot control method for contact-rich dexterous manipulation.
Fundamental (company)
Fundamental (legal name Fundamental Technologies Inc.) is an American artificial intelligence company, headquartered in San Francisco, that builds what it calls large tabular models (LTMs): foundation models…
GSQ-RCO
GSQ-RCO is a model-compression workflow that combines Gumbel-Softmax Quantization (GSQ) with Riemannian Constrained Optimization (RCO).
I3L (Iterative Interactive Imitation Learning)
I3L (Iterative Interactive Imitation Learning) is a robot learning system from researchers at Stanford University and Lambda Inc. that improves whole-body mobile manipulation policies by letting a human…
Inverse graphics
Inverse graphics is the problem of recovering, from one or more images, a description of the scene that produced them: the geometry, materials, lighting, camera, and in some formulations the motion and…
LeVJEPA
LeVJEPA is a self-supervised learning method for training video encoders. It applies the LeJEPA objective to video
Neural Tangent Kernel
The neural tangent kernel (NTK) is a kernel function built from the parameter gradients of a neural network.
Program Synthesis
Program synthesis is the task of automatically constructing a program that satisfies a specification expressed at a higher level than the code itself: a logical formula, a set of input-output examples, a…
Sanjay Ghemawat
Sanjay Ghemawat (born 1966) is an American computer scientist and software engineer, best known for co-creating the core distributed-systems infrastructure that powered Google's rise, including the Google File…
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models is a landmark research paper published by OpenAI on January 23, 2020 (arXiv:2001.08361) that established that the test loss of a neural language model falls as a smooth…
Training AI to Paint with Code
Training AI to Paint with Code is an experimental AI art project published by designer and researcher Surya Narreddi in March 2026.