For many of us the term "artificial intelligence" still belongs in the realms of science-fiction and brings to mind the domineering Skynet in the Terminator films or the malevolent Hal in 2001: A Space Odyssey. A recent Press Gazette poll asking readers if they think AI robots are a threat to journalism or an opportunity found the majority (69%) of more than 1,200 voters saw AI as a threat. But while what's known as "artificial general intelligence" – machines akin or superior to human intelligence – does not yet exist and may never be fully realised, AI tools are already in use in the news industry today. These tools help in the gathering, production and distribution of information. They fall broadly under the definition of "machine learning", which is a subset of AI, where computers handle specific tasks and are able to learn and improve as they go, independent of human help.

The map itself shows the active hotspots and uses machine learning to predict the spread of the virus.

Artificial intelligence is machine intelligence as it is demonstrated by machines.

If digital technologies like artificial intelligence (AI) had its way, the much-dreaded practise of discounting in fashion and retail, could vanish overnight.

When British mathematician Alan Turing proposed in the 1950s that computers would be the best devices for the study of artificial intelligence he …

"Artificial Intelligence (AI) in Drug Discovery Market is growing at a High CAGR during the forecast period 2020-2026.

Amazon recently announced the general availability of a developer tool powered by machine learning that provides intelligent recommendations for …

It is the CSAIL (Computer Science and Artificial Intelligence Laboratory) of MIT that has developed this robot together with Ava Robotics, who have …

A good dataset serves as the backbone of an Artificial Intelligence system. Data assists in various ways as it helps understand how the system is performing, understand meaning insights and others. At the premier annual Computer Vision and Pattern Recognition conference (CVPR 2020), several datasets have been open-sourced in order to help the community achieve higher accuracies and insights. Below here we have listed the top 10 Computer Vision datasets that are open-sourced at the CVPR 2020 conference. About: FaceScape is a large-scale detailed 3D face dataset that includes 18,760 textured 3D face models, which are captured from 938 subjects and each with 20 specific expressions.

Time: June 15,[masked]:00 PM Hong Kong Illya Barziy - Codependence with MlFinLab Illya will present the MlFinLab package which implements Machine Learning tools for Finance, largely based on the work of Marcos Lopez de Prado. Amongst the many modules (feature engineering, labeling, portfolio optimization, backtest overfitting, ...), Illya will present one in particular: Codependence.