Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...
RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
We propose a method to allow precise and extremely fast mesh extraction from 3D Gaussian Splatting (SIGGRAPH 2023). Gaussian Splatting has recently become very popular as it yields realistic rendering ...
Good electrochemical energy storage (EES) devices such as rechargeable batteries and supercapacitors can store a lot of energy and release it quickly, but these design goals are often at odds with ...
Abstract: Contacts are central to most manipulation tasks as they provide additional dexterity to robots to perform challenging tasks. However, frictional contacts leads to complex complementarity ...
A new technical paper titled “DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design” was published by researchers at Intel Corporation, ...
Picture this: I’m hunched over a garage floor, scrubbing away at the gunky paint remover I’ve spread over a fire-engine-red paint to make way for the aesthetically-pleasing home gym that’s going to ...
A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by researchers at Microsoft Research, Barclays and University of Cambridge.
Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results