GitHub

Signature‑Informed Transformer (SIT) for Asset Allocation

This is the origin Pytorch implementation of SIT in the following paper: SIGNATURE-INFORMED TRANSFORMER FOR ASSET ALLOCATION. 0_get_sig_data_all.py – pre‑computes signature and cross‑signature ...
Visual Studio Magazine

Hands On with New Experimental GitHub Copilot 'Agent Skills' in VS Code

Visual Studio Code 1.108 introduces Agent Skills for GitHub Copilot, enabling developers to define reusable, domain-specific ...
GitHub

Transformer-based Tooth Alignment Prediction with Occlusion and Collision Constraints

The planning of digital orthodontic treatment requires providing tooth alignment, which relays clinical experiences heavily and consumes a lot of time and labor to determine manually. In this work, we ...
Circuit Digest

Quectel introduces SH602HA-AP smart robotic computing module to power the next generation of robotic devices

Quectel Wireless Solutions, an end-to-end global IoT solutions provider, today announces the launch of a new-generation smart ...

Tensor Unveils OpenTau ( ) at CES 2026, Introducing a Breakthrough Open-Source Training Platform for Physical AI

LAS VEGAS, Jan. 8, 2026 /PRNewswire/ -- At CES 2026, Tensor today announced the official open-source release of OpenTau ( ), a powerful AI training toolchain designed to accelerate the development of ...
IEEE

Voiceprint Diagnosis Method for Urban Rail Power Transformers Based on Mel Spectrogram and Improved Vision Transformer

Abstract: The fault diagnosis for urban rail power transformers is crucial for ensuring the safety and reliability of urban rail power systems. Voiceprint-based fault diagnosis methods have gradually ...

Microsoft reshuffles teams to bolster GitHub as AI coding and agent wars heat up

GitHub, the dominant software development platforms, is responding to the rise of AI coding services and AI agents ...
IEEE

Fusion of Static and Dynamic Features of Vision Signal Based on Transformer for Penetration Depth Forecasting in Laser Beam Oscillation Welding

Abstract: The penetration depth is a key factor that determines the load-bearing capacity of welded joint, so its monitoring is particularly important. Compared with image-based deep learning, the ...