Aiming for treatment they have spent more than 30 years describing, understanding and diagnosing the most common hereditary form of stroke, CADASIL. For this, the four French neuroscientists are now receiving the world's most valuable prize for brain research – the Lundbeck Foundation Brain Prize, worth 1 million euros. Each year 17 million people worldwide suffer a stroke. Around 30 percent of these are mini strokes caused by changes in the small vessels of the brain. To begin with, these strokes cause temporary symptoms such as weakness, numbness and impaired coordination.

The ubiquity and sheer volume of data generated today give experts in virtually every domain ample information to track everything from financial trends, disaster evacuation routes, and street traffic, to animal migrations, weather patterns, and disease vectors. But using this data to build visualizations of complex predictive models using machine learning is a challenge to experts who lack the requisite computer science skills. A team at the NYU Tandon School of Engineering's Visualization and Data Analytics (VIDA) lab, led by Claudio Silva, professor in the department of computer science and engineering, developed a framework called VisFlow, by which those who may not be experts in machine learning can create highly flexible data visualizations from almost any data. Furthermore, the team made it easier and more intuitive to edit these models by developing an extension of VisFlow called FlowSense, which allows users to synthesize data exploration pipelines through a natural language interface. The research, "FlowSense: A Natural Language Interface for Visual Data Exploration with a Dataflow System" won the best-paper award at this year's IEEE Conference on Visual Analytics Science and Technology (VAST).

Mark Kingwell is a professor of philosophy at the University of Toronto. More than five decades ago, Marshall McLuhan argued that media are ecosystems, extensions of human consciousness. The famous adage that the medium is the message also means, as the often-misquoted title of McLuhan's famous book notes, that the medium is the mass age. We are all immersed in media and technology. Media have changed a lot since McLuhan wrote: less broadcast, more diffusion and unruliness.

After a hugely successful first day at the Deep Learning Summit and Responsible AI Summit, we were back in Montreal for day two. Sportlogiq were up first on the Deep Learning stage with Bahar Pourbabaee, Machine Learning Team Lead, discussing some of the main challenges in developing and deploying deep learning algorithms at scale. The sheer size of this scale was reiterated with Bahar suggesting that they are processing more than 60,000 sports videos from different sources, all of which include many thousands of frames. Bahar's first example of Sportloqiq's latest work depicted that of a fast moving Premier League Soccer game, with examples showing the sheer depth of analysis suggesting that both decisions and non-decisions alongside their consequences can be looked at and scrutinised, whilst individual joints of players and their lateral movement was observed under the microscope. Bahar then continued to detail some of the problems with the visual perception of their learning representation model which included player/object detection, player/team identification, state estimation and data association.

Students are then asked to focus on a topic, performing a form of meditation. The device and its software measures a student's level of concentration. This high tech gadget measures neurological impulses of each student, assigning scores to their level of attention or focus. Higher scores are awarded to those with greater concentration or attentiveness to the lesson. Teachers can view these scores at any moment throughout their lessons, adjusting their lesson delivery to the results.

Today's leading minds talk AI with host Byron Reese On this Episode of Voices in AI Byron speaks with futurist and author Alexandra Levit about the nature of intelligence and her new book'Humanity Works'. Listen to this episode or read the full transcript at www.VoicesinAI.com Byron Reese: This is Voices in AI brought to you by GigaOm and I'm Byron Reese. Today my guest is Alexandra Levit, she is a futurist, a managing partner at People Results and the author of the new book, Humanity Works. She holds a degree in psychology and communications from Northwestern University.

I am going to be updating my blog with conversations that I have with an Artificial Intelligence Platform called GPT-2. This is not the full version of the program, but it does contain half of the neurons of the original program that is considered too dangerous to release to the public. My question – What do you think about your existence? AI Answer – I had always been curious about the story told in'Horns of Heaven' by Carl Laemmle. I was curious to know the answer, and finally asked one of my professors to transcribe the text.

Fox News Flash top entertainment and celebrity headlines for Nov. 1 are here. Check out what's clicking today in entertainment. A reality TV star in Australia is accused of trying to extort her Tinder date -- and then assaulting him with another man when he refused to pay, according to a new report. Suzi Taylor, who starred on the hit home renovation show "The Block," allegedly lured the 33-year-old victim, whom she met through the dating app, to a home in Brisbane just after midnight Wednesday, News.com.au She then demanded money from him -- but when he refused to comply, Taylor's alleged accomplice, Ali Ebrahimi, entered the room and assaulted the man, police said in a statement.

Simply Business CTO Hasani Jess says his major priorities for 2020 are talent acquisition, growth - and making a big technology play in machine learning. Recognised with his team in the 2019 CIO 100, Jess was speaking to CIO UK Senior Online Editor Thomas Macauley at the 2019 CIO Summit, held at the Langham Hotel in London. Jess said that the discussions around the cultural side of transformation and CIO-CISO relations at the conference had been particularly relevant to his role as the technology leader at the online broker of business insurance for SMEs, and added that finding the right people to develop the company's machine learning capabilities was his CTO priority for the next year. "I think the number one challenge is talent acquisition, getting the right people into our business. And we've been doing a lot of work around that this year. Diversity is a really big topic and issue for us, one we've been making a big push on," he said.

A section of the DNA fragmentation profile of cell-free DNA from a cancer patient plotted over a healthy profile. Imagine, taking a simple blood draw to find out if you have cancer, and if so, the cancer's location and molecular type. While this scenario may have sounded like science fiction not long ago, liquid biopsies are now an exciting, tangible, area of cancer research. I spoke with two researchers who have developed an approach to detect cancer from cell-free DNA by looking at DNA fragmentation: Robert B. Scharpf, PhD, associate professor of oncology at the Sidney Kimmel Cancer Center and Biostatistics at the Johns Hopkins Bloomberg School of Public Health and Victor E. Velculescu, MD, PhD, professor of oncology, pathology, and medicine at the Johns Hopkins University School of Medicine. Their study, published in Nature earlier this year, demonstrates the feasibility of liquid biopsies using DNA fragmentation profiles.