Boxing is one of the oldest sports known to man. At CES 2017, it got a high-tech makeover with the help of French startup and one of the most well-known names in boxing. PIQ Sport Intelligence, a fresh-faced wearables maker based in Paris, and Everlast, a global maker of boxing and mixed martial arts equipment, announced on Thursday that they would be entering into a partnership to develop the first artificial intelligence wearable device designed to specifically for boxers to help analyze their performance. According to the companies, the device will make use of the PIQ Robot, a tiny and waterproof wearable sensor that tracks user activity. The sensor will take note of the strength and speed of each punch, captured by a motion-capture algorithm technology fine-tuned to track boxing motions, and outputs information about their performance in real-time.
With the Radeon Instinct line, AMD joins Nvidia and Intel in the race to put its chips into AI applications--specifically, machine learning for everything from self-driving cars to art. The company plans to launch three products under the new brand in 2017, which include chips from all three of its GPU families. The passively cooled Radeon Instinct MI6 will be based on the company's Polaris architecture. It will offer 5.7 teraflops of performance and 224GBps of memory bandwidth, and will consume up to 150 watts of power. The small-form-factor, Fiji-based Radeon Instinct MI8 will provide 8.2 teraflops of performance and 512GBps of memory bandwidth, and will consume up to 175 watts of power.
By bringing artificial intelligence to its wearable tech, PIQ is looking to improve on its design. Until now, sports wearables have largely boiled down to high-tech sensors recording basic data. With the addition of GAIA Intelligence, the company will be able to make the PIQ Robot that much better at improving your performance. Both the PIQ Robot and GAIA Intelligence give coaches and athletes the ability to analyze every movement during a game or match. This data can then be compared with any previous performances as well as with a community's performance overall.
The Australian Institute of Sport (AIS) has predicted, and is hopeful, the Australian team will pick up six or seven gold medals at the upcoming Rio Olympics. The information is collected from 2,000 athletes each week, including 300 data points per athlete, making up a total of 600,000 data points per week. According to Nick Brown, AIS performance science and innovation deputy director, using data and analytics means athletes are able to train and compete consistently, without losing days to recovery or illness. AIS has partnered with Microsoft and BizData to use predictive analytics and machine learning to analyse the collected data, which is uploaded each night through an Azure SQL Database to the Athlete Management System, where all of the data is stored.
Though you couldn't tell from the picture, these particular headphones incorporated a miniature fakir's bed of soft plastic spikes above each ear, pressing gently into the skull and delivering pulses of electric current to the brain. Made by a Silicon Valley startup called Halo Neuroscience, the headphones promise to "accelerate gains in strength, explosiveness, and dexterity" through a proprietary technique called neuropriming. "Thanks to @HaloNeuro for letting me and my teammates try these out!" McAdoo tweeted. On Thursday night, McAdoo and his teammates will seek the eighty-ninth and final win of their record-breaking season, as they defend their National Basketball Association title in Game 6 of the final series against LeBron James's Cleveland Cavaliers. The headphones' apparent results, in other words, have been impressive.
"It's a really versatile tool," said George Robusti, senior design director of global running at Adidas, of the ARAMIS system. As we sat and talked inside Adidas' headquarters in Portland, Ore., I asked Robusti how AlphaBounce compares to the Ultra Boost and NMD, two of the company's most popular runner lines. During a demo of the sneaker, the team behind AlphaBounce compared its blend of materials and design techniques to Apple's signature approach: seamless integration between hardware and software. "In the past, we've always used off-the-shelf materials or processes that have existed," said Andy Barr, Adidas' category director of global running.
The website kickoff.ai was launched on June 7 by three PhD students at the Lausanne Federal Institute of Technology (EPFL) and is targeted at football lovers. "All three of us are football fans and we wanted to apply machine learning to a new data set," Victor Kristof, one of the brains behind kickoff.ai, While several other football results prediction models exist, kickoff.ai The first one is modelling individual players' performances, which ensures more variables are incorporated when predicting an outcome of a match. Most traditional models only take into account the performance of the entire team and not that of its constituent team members separately.
In The Secret War of Lisa Simpson, an episode of (you guessed it) The Simpsons that aired in 1997, a cadet camp commander addresses his prepubescent graduates with a rousing speech that prepares these lowly grunts for a future filled with nothing more heroic than… well, grunt work. 'The wars of the future will not be fought on the battlefield or at sea', the commander announces, 'They will be fought in space, or possibly on top of a very tall mountain. In either case, most of the actual fighting will be done by small robots. And as you go forth today, remember always your duty is clear: to build and maintain those robots'. It's easy to laugh at this (it's funny, after all), and was particularly so in 1997, when the notion of robots taking over our lives still belonged more or less in science fiction, not in the headlines of major news outlets.
In just our fourth session together, Steve was already beginning to sound discouraged. It was Thursday of the first week of an experiment that I had expected to last for two or three months, but from what Steve was telling me, it might not make much sense to go on. "There appears to be a limit for me somewhere around eight or nine digits," he told me, his words captured by the tape recorder that ran throughout each of our sessions. "With nine digits especially, it's very difficult to get regardless of what pattern I use--you know, my own kind of strategies. It really doesn't matter what I use--it seems very difficult to get." Steve, an undergraduate at Carnegie Mellon University, where I was teaching at the time, had been hired to come in several times a week and work on a simple task: memorizing strings of numbers.
In their book Bad Moves, the neurologists Barbara Sahakian and Jamie Nicole LaBuzetta highlight the ethical challenges of using smart drugs to boost academic performance. Why, they ask, do we take such a dim view of athletes who use steroids to cheat in the Olympic Games but ignore students who use smart drugs to boost their performance when they are about to take university entrance exams? "Now is the time to have informed discussion and debate of the ethics of these'smart drugs' and the role they should play in our future society," they conclude. But, as we saw in the run-up to the financial crisis of 2008, private sector institutions can often hide behind a narrow interpretation of the law.