This advancement demonstrates the power of AI in accelerating material discovery, potentially shortening the research timeline from years to months and advancing efforts towards carbon neutrality.

Machine Learning software capable of sampling large volumes of 3D seismic, breaking down wave forms to identify unique patterns, and revealing new targets for the drill bit that the human eye has never seen. That completely changes exploration. Artificial Intelligence Could Trigger a Natural Gas Boom in Europe

Researchers…have now figured out a way to use AI to prevent tearing mode instabilities — breaks in the magnetic field lines within plasma that give it a chance to escape a tokamak’s control.

Research published in Cell Genomics today has shown that prostate cancer… includes two different subtypes of the disease, also known as evotypes. This discovery was made by using artificial intelligence (AI) to help unlock new discoveries about the evolution of prostate cancer.  

Input a single reference image and the vocal audio, e.g. talking and singing, [EMO] can generate vocal avatar videos with expressive facial expressions, and various head poses, meanwhile, … can generate videos with any duration depending on the length of input video.

On average, the system nears the crowd aggregate of competitive forecasters, and in some settings surpasses it. Our work suggests that using LMs to forecast the future could provide accurate predictions at scale and help to inform institutional decision making.

By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.

Introduce a 1-bit LLM variant, namely BitNet b1.58, in which every single parameter (or weight) of the LLM is ternary {-1, 0, 1}. It matches the full-precision (i.e., FP16 or BF16) Transformer LLM with the same model size and training tokens in terms of both perplexity and end-task performance, while being significantly more cost-effective in terms of latency, memory, throughput, and energy consumption.

To accurately extract information about tumor characteristics from pathology reports in near real time, we explore the impact of using domain-specific transformer models that understand cancer pathology reports.

“We try to understand not only the basic biology of human brain development, but also diseases—why we have brain-related diseases, their pathology, and how we can come up with effective strategies to treat them,” said Guo-Li Ming, PhD