The new study, titled "The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens ...

A study led by Professor Hui Liu from Central South University, published in Frontiers of Agricultural Science and ...

Google research paper details an algorithm that extracts job type information from business websites for use in Google Maps ...

The LLM series includes two algorithms on launch. The first, Magistral Small, is available under an open-source license and ...

Researchers in Australia have developed a simplified residual network-based architecture method to filter out noise from electroluminescence images of PV modules. The proposed technique reportedly ...

Instead of solving Maxwell’s equations from scratch every time, imagine training a model to deeply understand the underlying ...

Factors for Faster Training: Faster AI model training relies on compute power, quality data, efficient network infrastructure, and optimized software algorithms that enhance training speed. Innovative ...

Using a clever solution, researchers find GPT-style models have a fixed memorization capacity of approximately 3.6 bits per parameter.

Clearly, trainees are different. Tailoring the training to different personas, jujitsu style, may be how we change hearts and minds. Algorithms are only as good as the data they rely on.

Generative AI models with “reasoning” may not actually excel at solving certain types of problems when compared with conventional LLMs, according to a paper from researchers at Apple.

Traditional manufacturers such as BYD and Seres are exploring flexible approaches at the nexus of autonomous driving and ...