The process of developing AI applications requires a different approach from the more traditional methods, and you'll need to work with code and models from both approaches to create more ...

Semiconductor logic and memory technology development continues to push the limits of process complexity and cost, especially as the industry migrates to the 5 nm node and beyond. Optimization of the ...

In biopharmaceutical manufacturing the interactions between cells, nutrients, and reagents in culture determine product quality. The big challenge for process developers is modeling these complex ...

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

Turning materials like wood chips, crop residues and municipal solid waste into fuels and chemicals is important for our ...

The Ministry of Trade, Industry and Energy has partnered with Seoul National University to develop a national-level AI ...

Erling Freyr Gudmundsson, chief operations officer at atNorth, examines why Iceland has emerged as a global leader in renewable-powered high-performance computing, and what other regions can learn ...

Microsoft Corp. is developing a large language model with about 500 billion parameters, The Information reported today. The LLM, which is said to be known as MAI-1 internally, is expected to make its ...

NASHVILLE, Tenn. — The Army is putting new emphasis on using technology, including artificial intelligence and machine learning, to speed up the “kill chain” process of locating and firing on targets, ...

• Background and Aims Although quantitative trait loci (QTL) analysis of yield-related traits for rice has developed rapidly, crop models using genotype information have been proposed only relatively ...