Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

Researchers developed a machine-learning-assisted approach to improve micro-electro-discharge machining (µ-EDM) of the ...

This project addresses the problem of predicting water levels in fish ponds - a critical factor in aquaculture management. Using Machine Learning, we can: Predict water levels based on environmental ...

Figure 1. LoRA-Chem: From Model Customization to Organic Chemistry Reaction Tasks. (a) Several machine learning algorithm paradigms applied to organic chemistry. (b) Inspired by AI-driven image style ...

Concerns about how AI will affect workers continue to rise in lockstep with the pace of advancements and new products promising automation and efficiency. Evidence suggests that fear is warranted. As ...

Enterprises have been piloting and testing different AI tools for the past few years to figure out what their adoption strategy will look like. Investors think that period of experimentation is coming ...

Palantir's stock has been trading at an inflated valuation for multiple years. Next year, there could be headwinds that weigh down not only Palantir but also the stock market as a whole. Although ...

Kalshi, a U.S.-based prediction market, has closed its $1 billion financing round, which has pushed its valuation to around $11 billion, according to a press release. The latest round was led by ...

Objective: To explore the risk factors for prolonged acute ventilation time after Stanford type A aortic dissection and to construct a nomogram prediction model. Methods: A total of 178 patients with ...