Ego4D Audio, IoT Text, IMU, Video, Audio, 3D 3, 670h data, 3.85M narrations Classification, Forecasting, etc. Ego-Exo4D Audio, IoT Text, IMU, Video, Audio, Eye Gaze ...

If you’re looking for Karrie League, odds are that she’ll be on a couch somewhere in the hallways of the Baker Center. “I work in the hallways because then people can sit and chat with me,” she said.

This paper proposes a concept of a global currency and introduces a “global currency pricing” (GCP) specification into a standard N-country open economy macroeconomic model. A global currency is ...

Abstract: This paper focuses on the design and application of a multivariate financial time series prediction model based on the Transformer, with the goal of enhancing forecast accuracy and ...

For the extended end-user products, please refer to the index repo Awesome-ChatTTS maintained by the community. You can find a diagram visualization of the codebase here. ChatTTS is a text-to-speech ...

Abstract: Large Language Models (LLMs) have shown signif-icant promise as evolutionary optimizers. This paper introduces a novel LLM-based Optimizer (LLMO) to address Neural Archi-tecture Search ...

DeepSeek’s latest technical paper, co-authored by the firm’s founder and CEO Liang Wenfeng, has been cited as a potential game changer in developing artificial intelligence models, as it could ...

Training large artificial intelligence models has become increasingly difficult as systems grow in size and complexity, with rising costs, heavy power consumption, and frequent training failures ...

Chinese artificial intelligence start-up DeepSeek has ushered in 2026 with a new technical paper, co-authored by founder Liang Wenfeng, that proposes a rethink of the fundamental architecture used to ...

DeepSeek researchers have developed a technology called Manifold-Constrained Hyper-Connections, or mHC, that can improve the performance of artificial intelligence models. The Chinese AI lab debuted ...

Training large AI models has become one of the biggest challenges in modern computing—not just because of complexity, but because of cost, power use, and wasted resources. A new research paper from ...

DeepSeek introduced Manifold-Constrained Hyper-Connections (mHC) to improve large-model training scalability and efficiency. The mHC method was tested on 3B, 9B, and 27B parameter models, showing ...