Can robots learn from machine dreams? | MIT News
For roboticists, there is one challenge that stands out above all others: generalization: the ability to create machines that can ...
Tag: Machine
Racing into the future: How AWS DeepRacer fueled my AI and machine learning journey
In 2018, I sat in the audience at AWS re:Invent when Andy Jassy announced AWS DeepRacer, a fully autonomous 1/18 ...
This UC Berkeley AI article presents Pie: a machine learning framework for transparent performance sharing and adaptive expansion in LLM inference
The use of large language models (LLM) has revolutionized artificial intelligence applications, enabling advances in natural language processing tasks such ...
This Machine Learning Paper Transforms the Efficiency of Embedded AI: New Scaling Laws to Optimize Model and Dataset Ratios in World Modeling and Behavior Cloning Tasks
Embodied artificial intelligence (ai) involves the creation of agents that operate within physical or simulated environments, autonomously executing tasks based ...
AI2BMD: A Quantum-Precise Machine Learning Approach for Large-Scale Biomolecular Dynamics
Biomolecular dynamics simulations are crucial for biological sciences and provide insights into molecular interactions. Although classical molecular dynamics (MD) simulations ...
Matrix-Free Differentiation: Advances in Probabilistic Machine Learning
Automatic differentiation has transformed machine learning model development by eliminating complex, application-dependent gradient derivations. This transformation helps to calculate vector-jacobian ...
KVSharer: A plug-and-play machine learning method that shares KV cache between layers to achieve layered compression
In recent times, large language models (LLMs) built on the Transformer architecture have demonstrated remarkable capabilities in a wide range ...
XElemNet: A Machine Learning Framework Applying Explainable AI (XAI) Suite for Deep Neural Networks in Materials Science
Deep learning has made progress in several fields and has also made its way into materials sciences. From tasks like ...
CodeFavor – A machine learning framework that trains pairwise preference models with synthetic code preferences generated from code evolution, such as commits and code critiques
Large language models (LLMs) have revolutionized software development by enabling code completion, generation of functional code from instructions, and complex ...
Vizio just announced a sound bar that doubles as a karaoke machine
It's easy to fall into cynicism when writing about technology. There are so many iterative improvements. Companies like it to ...
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