Video world models, which predict future frames conditioned on actions, hold immense promise for artificial intelligence, enabling agents to plan and reason in dynamic environments. Recent ...

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 ...

Tree boosting has empirically proven to be efficient for predictive mining for both classification and regression. For many years, MART (multiple additive regression trees) has been the tree boosting ...

Large pretrained language models (LLMs) have emerged as the state-of-the-art deep learning architecture across a wide range of applications and have demonstrated impressive few-shot learning ...

Just hours after making waves and triggering a backlash on social media, Genderify — an AI-powered tool designed to identify a person’s gender by analyzing their name, username or email address — has ...

In the new paper Automatic Prompt Optimization with "Gradient Descent" and Beam Search, a Microsoft research team presents Automatic Prompt Optimization, a simple and general prompt optimization ...

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 ...

Most people today realize it is only a matter of time before self-driving vehicles revolutionize our transportation and delivery systems. While breakthroughs in self-driving technologies have thus far ...

Recent strides in large language models (LLMs) have showcased their remarkable versatility across various domains and tasks. The next frontier in this field is the development of large multimodal ...

Multi-layer perceptrons (MLPs) stand as the bedrock of contemporary deep learning architectures, serving as indispensable components in various machine learning applications. Leveraging the expressive ...