GitHub

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

1.0 and 2.0: relevant code archived in the sub directory v1. You can pip install timesfm==1.3.0 to install an older version of this package to load them.
scmp.com

China claims biggest AI model trained on local chips, as Meituan releases LongCat-2.0

As China attempts to move beyond using domestic chips solely for model inference, food delivery giant Meituan released what it claims is the country’s largest artificial intelligence model trained ...
Forbes

Bungie Hit With Widespread Layoffs As ‘Destiny 2’ Ends And ‘Marathon’ Continues

Forbes contributors publish independent expert analyses and insights. News and opinion about video games, television, movies and the internet. This voice experience is generated by AI. Learn more.
IEEE

Physics-Informed Deep Learning for 2-D Phased Array Beamforming With Imperfection Tolerance

Abstract: Designing efficient and reliable two-dimensional (2D) beamforming for phased array antennas (PAAs) remains a significant challenge because of the heavy computational demands involved. In ...
The Lancet

Zanidatamab plus chemotherapy as first-line treatment for patients with HER2-positive advanced gastro-oesophageal adenocarcinoma: primary results of a multicentre, single-arm ...

aDepartment of Gastrointestinal Medical Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada bDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer ...
IEEE

New Constructions of 2-D Golay Complementary Array Sets With Highly Flexible Array Sizes for Massive MIMO Omni-Directional Transmission

Abstract: This letter is concerned with efficient design of two-dimensional (2-D) Golay complementary array sets (GCASs) with ideal aperiodic sums for two correlation directions. Two new direct ...