A new graph neural network framework evaluates dance training in real time and automatically adapts practice plans, achieving ...

Your laptop’s idle NPU can sort 100 gigabytes of family photos about 3 times faster than the CPU, without draining the ...

Introduction A few years ago, I was solely responsible for an in-house demand forecasting model. The scores on the validation ...

서론: 일본 내 컨설팅 시장의 비대화와 구조적 딜레마일본 국내 컨설팅 시장은 최근 전례 없는 규모로 급성장을 거듭하고 있습니다.IDC Japan의 조사에 따르면, 일본 컨설팅 서비스 시장은 2020년 약 4,700억 엔에서 ...

Mechanistic modeling of chemical transformations offers a compelling basis for understanding reactivity and allows for ...

Every recommender system faces an awkward moment when a new user signs up or a new title enters the catalog: there is no ...

NVIDIA's open Kumo Tabular models predict new table rows in one forward pass, topping TabArena with commercial-use weights.

Agentic reinforcement learning research is constant algorithm modification. New estimators, new pipeline stages, new rollout schemes. In mainstream frameworks each change threads through layers of ...

Visitors pass in front of the Qualcomm stand at the MWC (Mobile World Congress), the world's biggest mobile fair, in Barcelona on March 4, 2025. Surrounded by investment and innovation projects, the ...

This is a library containing pyTorch code for creating graph neural network (GNN) models. The library provides some sample implementations. The library is mainly engineered to be fast for sparse ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...