[Paper] Learning Dynamics in Memristor-Based Equilibrium Propagation
Memristor-based in-memory computing has emerged as a promising paradigm to overcome the constraints of the von Neumann bottleneck and the memory wall by enablin...
Memristor-based in-memory computing has emerged as a promising paradigm to overcome the constraints of the von Neumann bottleneck and the memory wall by enablin...
With iOS 26 this year, Apple announced an incredibly promising improvement to the order tracking feature in the Wallet app. With on-device Apple Intelligence mo...
Article URL: https://www.wbur.org/hereandnow/2025/12/09/nuclear-power-ai Comments URL: https://news.ycombinator.com/item?id=46254276 Points: 4 Comments: 0...
Accurate volatility forecasting is essential in banking, investment, and risk management, because expectations about future market movements directly influence ...
Humanoid Robots in Logistics Agility Robotics announced that its Digit humanoid is now deployed for MercadoLibre, its newest customer. The robot is being used...
Article URL: https://reactormag.com/new-kindle-feature-ai-answer-questions-books-authors/ Comments URL: https://news.ycombinator.com/item?id=46248417 Points: 40...
The recent success of 3D Gaussian Splatting (3DGS) has reshaped novel view synthesis by enabling fast optimization and real-time rendering of high-quality radia...
Large-scale video generation models have shown remarkable potential in modeling photorealistic appearance and lighting interactions in real-world scenes. Howeve...
We present Particulate, a feed-forward approach that, given a single static 3D mesh of an everyday object, directly infers all attributes of the underlying arti...
The collection of large-scale and diverse robot demonstrations remains a major bottleneck for imitation learning, as real-world data acquisition is costly and s...
Many systems exhibit complex interactions between their components: some features or actions amplify each other's effects, others provide redundant information,...
Reality is a dance between rigid constraints and deformable structures. For video models, that means generating motion that preserves fidelity as well as struct...