On April Fool’s Day in 2016, Google secretly uploaded a video of an autonomous bicycle roaming through the busy streets. Two days after the post went viral, Google clarified that it was actually the ...

The BAAI Conference 2022 kicked off at 9:00 am on May 31 in Beijing and ran through June 2. AI experts, industry leaders, young talents and international delegates joined the virtual gathering and ...

The global artificial intelligence market is expected to top US$40 billion in 2020, with a compound annual growth rate (CAGR) of 43.39 percent, according to Market Insight Reports. AI’s remarkable ...

This is an updated version. Turing Award Winner and Facebook Chief AI Scientist Yann LeCun has announced his exit from popular social networking platform Twitter after getting involved in a long and ...

DeepSeek AI has announced the release of DeepSeek-Prover-V2, a groundbreaking open-source large language model specifically designed for formal theorem proving within the Lean 4 environment. This ...

Recent advancements in training large multimodal models have been driven by efforts to eliminate modeling constraints and unify architectures across domains. Despite these strides, many existing ...

The past decade has seen a burst of algorithms and applications in machine learning especially deep learning. Behind the burst of these deep learning algorithms and applications are a wide variety of ...

A newly released 14-page technical paper from the team behind DeepSeek-V3, with DeepSeek CEO Wenfeng Liang as a co-author, sheds light on the “Scaling Challenges and Reflections on Hardware for AI ...

Since the May 2020 release of OpenAI’s GPT-3, AI researchers have embraced super-large-scale pretraining models. Packing an epoch-making 175 billion parameters, GPT-3 has achieved excellent ...

The ACL 2021 Paper Awards were announced this week, with the best paper honours going to a team from ByteDance AI Lab, University of Wisconsin–Madison and Nanjing University. Their paper treats ...

The rise of large language models (LLMs) has sparked questions about their computational abilities compared to traditional models. While recent research has shown that LLMs can simulate a universal ...

Climate change and extreme weather events have made weather and climate modelling a challenging yet crucial real-world task. While current state-of-the-art approaches tend to employ numerical models ...