On a cold, sunny October day on the outskirts of Copenhagen, Denmark, a group of men dressed in black gathers outside Brondby Stadium to shoot off a couple of rockets, raise their fists and shout about how the home team will soon beat -- and beat up -- the visiting archnemesis, FC Copenhagen. Police are out in force, riot helmets at the ready. Brondby-Copenhagen matches have a history of leading to vandalism, arrests and general mayhem. An attempted photo of the group gets a gloved hand in the face. "You need to stop," says the hand's black-clad owner, before he disappears back into the crowd.
The World Anti-Doping Agency (WADA), in conjunction with the Fonds de recherche du Québec (FRQ), is pleased to announce funding for three projects that will explore the possible uses of artificial intelligence (AI) to advance the global anti-doping program. Following a call for applications for targeted research on the application and impact of AI in the area of anti-doping, eight proposals were received and, after a period of careful assessment by WADA and FRQ, the successful projects were selected for funding. WADA Senior Director, Sciences and International Partnerships, Dr Olivier Rabin, said: "AI is an exciting area to be explored and WADA believes there is enormous untapped potential for its use within anti-doping, particularly when it comes to the analysis of big data. In time, we think it could have a hugely positive impact. These three complementary projects will help shed some light on the extent of AI's potential in the anti-doping context and we are pleased to be able to support what we hope will be important pieces of research."
As it becomes easier for humans to do the mundane with the advent of artificial intelligence (AI), the ability of human kind to process complex emotions will become imperative. While the evolution of AI and machine learning--and how they will change our lifestyle, the markets and workforce in many sectors--has been staring in our face, it is important to know the following facts. In the last decade, data and analytics have turned baseball into a bonanza of home runs and strikeouts, basketball became a game won or lost behind the arc and even prompted football coaches to start going for it on fourth down. Microsoft's belief that artificial intelligence (AI) will continue to become relevant in the coming years has often been indicated through moves the tech giant has made in the recent past. Earlier this month, the firm partnered up with Novartis to transform the field of medicine using AI.
Abstract: After more than 30 years in academia researching in the area of AI, as a student and as a faculty, I joined JPMorgan to create and head an AI research group. In this talk, I will present several concrete examples of the projects we are pursuing in engagement with the lines of business. I will focus on areas related to data, learning from experience, explainability, and ethics. I will conclude with a discussion of my current understanding of the transformational impact that AI can have in the future of financial services. Bio: Manuela M. Veloso is the Head of J.P. Morgan AI Research, which pursues fundamental research in areas of core relevance to financial services, including data mining and cryptography, machine learning, explainability, and human-AI interaction.
An international campaign takes its battle to outlaw "killer robots" to the UN this week with a new ally – a "peace robot". Created by an inventor from the BBC programme Robot Wars, the droid, known as David Wreckham, has been recruited to deliver a message to world leaders in New York on Monday. The robot will drop a letter to UN diplomats demanding that robots not guided by human remote control which could accidentally start wars or cause mass atrocities should be outlawed by the same type of international treaty that bans chemical weapons. Unlike drones, which are controlled by military teams often thousands of miles away from where they are deployed, critics say that autonomous killer robots have the potential to do disastrous things they were not originally programmed for. Wreckham will also visit the Manhattan headquarters of hi-tech corporations, calling on them to desist from developing technologies for autonomous weapons.
The 1.5 meter, silvery gray velociraptor lunges forward, interrupting the flight of the tennis ball with its head before the ball can get to the soccer net at the end of the gym. Its tail stretches out, stopping another ball. It pivots, somewhat clumsily, and runs three steps in the other direction to intercept a third ball. Robots building Teslas aren't as sophisticated as AI velociraptors that tend goals It's been doing this for an hour, running back and forth as a trio of tennis ball machines toss yellow balls in various loopy ways toward the net. It's a game that its creators have invented to rapidly improve its coordination. But then it stops trying to intercept the balls, although it still twitches toward them.
Deep learning technology has impacted almost every other industry. Deep Learning is helping businesses associated with sports to expand. From NHL to MLB, NBA, NFL, and NASCAR, almost every major sports league in U.S.A is now incorporating AI to expand its business. According to Statista, the North American sports market is predicted to reach $80.3 billion in 2022. The revenue may come from merchandising, gate revenue, media rights, and sponsorships.
If your timeline is being inundated with celebrity lookalikes, that's because a new viral app has taken off. Gradient Photo Editor allows users to upload a selfie or face photo and the app will use artificial intelligence to gradually turn them into a celebrity that they allegedly resemble. The photo editing app is just over a week old and has already amassed a huge celebrity following including the Kardashians and the record producer Diplo. The app's results sometimes miss the mark. One USA TODAY reporter's results included the Spanish soccer player Marc Bartra, rapper Tyler the Creator and Brazilian actress Giovanna Ewbank.
Bio: Ian is a Software Development Manager at Aston Martin Red Bull Racing heading up a team of software developers to build a simulation data framework which underpins the racing business. This team is responsible for tracking every component fitted on the car and enabling simulations to be run against any racing setup. The team supports engineers across the business in short term high pressure decision making, to long term strategic planning, both of which are key to building a championship winning race car.