Fermilab scientist Nhan Tran is developing computer systems to cope with the increasing amounts of data that particle colliders produce. The field of particle physics produces colossal amounts of data as it pushes the frontiers of human understanding. Fermilab scientist Nhan Tran is working to make sure researchers have the innovative techniques and technology they need to handle the data deluge and to select the details that are likely to reveal exciting new physics phenomena. And now he has received a prestigious award to advance this work. The Department of Energy Early Career Research Award will provide Tran with $2.5 million over five years to lead efforts to apply artificial intelligence to push the frontiers of both physics and technology.

Scientific studies do not find any links between video games and gun violence. The claim that they do has been repeatedly tested, studied and debunked. Yet on Monday, US president Donald Trump insisted that "gruesome and grisly video games" were causative in the gun massacre deaths of 22 people in El Paso and another 9 in Dayton (not Toledo) Ohio. Why scapegoat video games and demonise the people who play them? It's established that science, expertise, evidence and the truth are not dominant themes of the Trump presidency, and with increasing numbers of people bleeding to death in US streets, he has to find someone – something – anything!

The National Health Service in England is setting up a research lab to build artificial intelligence that could help treat conditions including cancer, dementia and heart disease, the Department of Health has announced. The AI lab could help tackle some of the biggest challenges facing the NHS, including improving cancer screening, identifying patients most at risk of dementia or heart disease, and automating admin tasks, giving medical professionals more time with patients. The NHS will receive £250 million for the project. "We are on the cusp of a huge health tech revolution that could transform patient experience by making the NHS a truly predictive, preventive and personalised health and care service," says Health Secretary Matt Hancock. Though medical AIs have shown much promise, few have been through rigorous clinical trials to show that they really will improve outcomes for patients.

Artificial intelligence is predicting the outcome of court cases about human rights violations. This adds to the growing role of AI in law. From next year, robot judges are set to be introduced in small claims courts in Estonia to moderate disputes of less than €7,000. In the US, algorithms are being used in sentencing decisions, and lawyers also use AI to analyse texts to answer legal questions and identify relevant past court case decisions.

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OSAKA – There's a sense of panic within Japan Inc. and the government -- the world's No. 3 economy, doesn't have enough experts in artificial intelligence, and it's time to do something about it. Prime Minister Shinzo Abe in June unveiled a plan to train 250,000 people in AI skills annually by 2025, albeit one criticized as unrealistic due to a shortage of teachers. Tech heavyweights like Sony Corp. are hiking pay for the right hires and boosting recruitment of foreign engineers. But Daikin Industries Ltd., the world's biggest maker of air conditioners with a market value of $37 billion, is taking a more unusual route to AI expertise. At a disadvantage to bigger tech firms in attracting top talent, it has created an in-house program that takes new graduates and current employees -- almost all with no AI background -- and trains them up.

Following the horrific mass shootings in El Paso and Dayton over the weekend, President Trump has called on private enterprises, particularly social media companies, to develop new tools for surfacing "red flags" that could help identify violent shooters before they act. Trump says these tools could enable the government to act earlier to prevent mass casualties. With the current state of AI technology and the ongoing negligence of social media platforms to protect human life, this simply isn't a feasible idea. Predictive algorithms are hard to make. For simple, basic algorithms to make predictions, they need a lot of data.

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Computer algorithms and applications that perform tasks previously done by humans are changing the world as we know it. All sectors and industries are being disrupted at some level. Tasks, often time-intensive, that had to be done by humans, such as image or speech recognition, can now be completed in an instant, and with increasing reliability. AI works through technologies such as Neural Networks, Machine Learning and Natural Language Processing (NLP). These technologies are used to create algorithms that are fed data to create innovative applications such as self-driving cars. In the finance sector, AI's influence can best be seen in banking.

In the future, cars will be electric. People who use them might never own them, but share them instead. The auto industry is going through massive change -- and Tesla and its outspoken CEO, Elon Musk, are seen as the great disruptors. But as Ford CEO Jim Hackett pointed out during a recent interview for CNN Business' The Table with Poppy Harlow in Detroit, his company caused, arguably, the biggest industrial disruption of the entire 20th century. And he's not about to let anyone else take away that legacy.