A unique combination of explainable AI and repurposing animal camouflage detection algorithms can identify human brain cancer ...

The Congress government in Telangana is creating a comprehensive policy for gig workers, including a potential 1% welfare ...

AI led to rectification of about 70% of the production disruptions for Airbus, by matching to solutions used previously — in ...

Dr. Sean Kalaycioglu explores advancing AI-enabled space robotics for lunar exploration and orbital operations ...

In business, training AI models and targeting their applications in the marketplace is a double-edged sword; one edge doesn't ...

For the study, published in the journal 'npj Digital Medicine', the researchers analysed 429 days' worth of data from 168 ...

MIT researchers have introduced an efficient reinforcement learning algorithm that enhances AI's decision-making in complex scenarios, such as city traffic control. By strategically selecting optimal ...

Neelakantan Venkataraman, VP and Global Head Cloud and Edge Business at Tata Communications, explained that this is an ...

AI models analyzing tumor-infiltrating lymphocytes show promise in predicting outcomes for triple-negative breast cancer, but ...

Like any other aspect of AI, data is fundamental to transparency. We can’t begin to explain the results of an AI model without first looking at the data used to train that model. The source and ...

However, Yang Zhilin, founder of Moonshot AI, said that the scaling law is still valid. What has changed, he added, is the nature of what’s being scaled.

MIT researchers developed an efficient approach for training more reliable reinforcement learning models, focusing on complex tasks that involve variability. This could enable the leverage of ...