A new MIT-developed artificial intelligence model can make an early detection of Parkinson's Disease -- which is notoriously hard to diagnose -- from a person's breathing patterns, the university announced Monday. A news release about the technology said that Parkinson's disease is hard to diagnose because it relies primarily on the appearance of motor symptoms, such as tremors, stiffness, and slowness, which often appear several years after the disease onset. But Dina Katabi, an MIT electrical engineering and computer science professor, and her team have now developed an artificial intelligence model that can detect Parkinson's from a person's breathing patterns, the release said. The tech is a neural network -- a series of connected algorithms that mimic the way a human brain works -- capable of assessing whether someone has Parkinson's from how they breathe while they sleep. The neural network, which was trained by MIT PhD student Yuzhe Yang and postdoc Yuan Yuan, is also able to discern the severity of someone's Parkinson's and track the progression of their disease over time, the release said.

Baidu (NASDAQ:BIDU) recently hosted its annual Baidu World Conference in Beijing to showcase its latest technologies. The theme of this year's conference was the "Intelligence of Everything," with a heavy emphasis on artificial intelligence (AI) technologies in cars, wearables, and other connected devices. Let's examine four of these new AI technologies, how they'll expand Baidu's ecosystem, and whether or not they can strengthen its core business -- which still faces stiff competition from growing rivals like Tencent (OTC:TCEH.Y), Alibaba (NYSE:BABA), and ByteDance. Baidu announced that its autonomous vehicles have undergone six million kilometers of open road tests, carried 100,000 passengers across 27 cities, and experienced zero accidents. Baidu also showcased a fully autonomous robotaxi, which can carry passengers without a backup driver, and a new autonomous valet parking feature, and revealed a 5G "remote driving" feature which will allow human drivers to remotely control vehicles in case of emergencies.

Recently, Hisham Daoud and Magdy Bayoumi of the University of Louisiana at Lafayette have introduced a completely new Artificial Intelligence (AI) system that predicts epilepsy seizures. According to the World Health Organization's reports, around 50 million people around the world are suffering from epilepsy and 70% of those patients can control the seizures through medications. The new AI technology shows 99.6% accurate results, and the best thing about it is that it predicts the attacks an hour before it happens. In this way, the patient can gear up for it and take medications that can prevent its occurrence. Having enough time to control the attack is what a patient needs.

The funded projects are expected to research the functionality and suitability of new artificial intelligence technologies (e.g. The solution must have a major positive impact on the applicants' international competitiveness. The solution can be based on open-source artificial intelligence frameworks, e.g. Google Tensorflow, Microsoft CNTK and Caffe, or closed platforms, e.g. The problem to be solved may involve adding value to an existing product/service OR an entirely new product or service concept.

Law firms should do more to share the benefits of artificial intelligence technology with their clients, according to a new report revealing what GCs really think about AI. The report, AI: The new wave of legal services, produced by Legal Week Intelligence and Bird & Bird, is based on 15 interviews with senior in-house lawyers, covering subjects including their current and potential use of technology, the opportunities and challenges presented by AI, and how it will shape their expectations of the law firms they instruct. The report reveals that many GCs would like a more proactive stance from law firms in sharing the potential benefits of AI – through testing to implementation and cost savings. KPMG general counsel Jeremy Barton argues that AI should be a catalyst for law firms and GCs to work more closely together: "What is going to change is the nature of collaboration with law firms. We pay law firms too much for doing basic research. "You could easily envisage getting to a stage where the only law firms you really want to deal with, as in-house counsel or general counsel, are those who share a platform with you, or are prepared to use your platform so that your collaboration is supported by technology that is common between you and the law firm." Claire Debney, director of legal strategy at FTSE 100 pharma company Shire, agrees. "Law firms should be more collaborative in their use of technology," she says. "When they look at the client relationship, you have your relationship partner and your regular review.