"We need to get more data," said Patrick Lucey, director of data science at sports consulting company STATS LLC in Chicago. For example, he and his team developed a model that looks at video data from NBA games and analyzes players' body positions to better define what an open shot looks like. Another STATS project applied deep learning algorithms to English Premier League soccer. The data science team at STATS primarily builds models in open source tools, such as the Google-created TensorFlow and scikit-learn, a library of machine learning models built in Python.
At the same time, employers and employees alike will need to look at reskilling their organisations and themselves as millions of job roles become defunct in the AI revolution, agreed both Andy Campbell (Oracle's EMEA strategy director) and Alex Charraudeau (sales manager for LinkedIn). Even specialist professional expertise such as legal advice is already being provided via chatbots, Campbell said, citing the example of an online service that has a 60% success rate in winning its cases. Sponsored and organised by professional services and technical recruiter Rullion and held at LinkedIn's headquarters, the AI event featured a panel consisting of Campbell, Charraudeau, technology entrepreneur Yi Xu, David D'Souza, CIPD head of engagement and London, and Paula Barrett, partner at law firm Eversheds Sutherland. Referring to the changes AI is bringing and will bring to the workplace, D'Souza said: "The issues we're facing are definitely societal… We need to think about whether we'should' do it instead of'could' we do it."
Everyone is talking about Machine learning these days. This exciting webinar on Machine Learning will take you through the basics of machine learning, it will cover the cool features of the Quantiacs toolkit, and illustrate how to create and test machine learning strategies using Quantiacs. Eric's experience includes Machine Learning, Cloud Computing, and Python programming. Before joining Quantiacs, Eric was the founding CTO at NetInformer, a mobile media company whose customers included Major League Baseball, the NCAA, and Verizon Wireless.
Established in 1997, the original mission was to field a team of robots capable of winning against the human soccer World Cup champions by 2050. To celebrate 20 years of RoboCup, the Federation is launching a video series featuring each of the leagues with one short video for those who just want a taster, and one long video for the full story. Robohub will be featuring one league every week leading up to RoboCup 2017 in Nagoya, Japan. This week, we take a look at the heart-pumping excitement watching the popular RoboCup soccer leagues.
We won't always have to ask for the weather -- most voicebots will eventually note a change in the weather or provide a quick summary on cue. If I'm watching the NBA Playoffs, for example, I might tweak a setting to have Alexa offer some interesting facts when there's a lead change or someone sets a record. You may know that the biggest difference between Alexa and the Google Assistant is that Alexa doesn't understand context.
The NFL's extremely uptight attitude toward touchdown celebrations has long been a source of both frustration and mockery for football players and fans alike. But Tuesday brought good news for those who feel NFL football should include human emotion: The league has opened up its restrictions on the cheeky celebrations that light up social media but used to bring big fines. Following conversations with dozens of players, we're making changes to our celebrations policy: https://t.co/1NLdEJjsGD But, Goodell wrote in his announcement, "Offensive demonstrations, celebrations that are prolonged and delay the game, and those directed at an opponent, will still be penalized." But loosening up the rules around touchdown celebrations is unequivocally a good thing.
Kaggle's annual March Machine Learning Mania competition drew 442 teams to predict the outcomes of the 2017 NCAA Men's Basketball tournament. In this winner's interview, Kaggler describes how he came in 5th place by stepping back from solution mode and taking the time to plan out his approach to the the project methodically. This included splitting the development data into a build and validation sample and leaving the test data provided for the last 4 years. I stuck with a basic logistic regression technique for the model development and it appeared to work well.
Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo. A Toyota Motors employee demonstrates a smartphone app with the company's pocket plug-in hybrid (PHV) service on the cockpit of the latest Prius hybrid vehicle during Toyota's "connected strategy" press briefing in Tokyo An employee shows a Samsung Electronics' Gear S3 Classic during Korea Electronics Show 2016 in Seoul, South Korea Visitors experience Samsung Electronics' Gear VR during the Korea Electronics Grand Fair at an exhibition hall in Seoul, South Korea Amy Rimmer, Research Engineer at Jaguar Land Rover, demonstrates the car manufacturer's Advanced Highway Assist in a Range Rover, which drives the vehicle, overtakes and can detect vehicles in the blind spot, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire Chris Burbridge, Autonomous Driving Software Engineer for Tata Motors European Technical Centre, demonstrates the car manufacturer's GLOSA V2X functionality, which is connected to the traffic lights and shares information with the driver, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire In its facilities, JAXA develop satellites and analyse their observation data, train astronauts for utilization in the Japanese Experiment Module'Kibo' of the International Space Station (ISS) and develop launch vehicles The robot developed by Seed Solutions sings and dances to the music during the Japan Robot Week 2016 at Tokyo Big Sight. You'll need to pay a fee between £1.49 and £9.99 per month – on top of the £79 annual Prime video membership fee, or £7.99 per month – to access the channels, which include Eurosport Player, Discovery and ITV Hub . "From live sport to Bollywood, arthouse cinema to reality TV, and award-winning TV shows from popular channels like Discovery and ITV, Amazon Channels gives power back to customers to choose exactly what they want to watch."
Twenty years later, we are on the threshold of the accomplishing the biggest feat in machine intelligence, a team of fully autonomous humanoids beating human players at FIFA World Cup soccer. This requires RoboCup teams to combine a number of mechatronic technologies within a humanoid device, such as real-time sensor fusion, reactive behavior, strategy acquisition, deep learning, real-time planning, multi-agent systems, context recognition, vision, strategic decision-making, motor control, and intelligent robot control. On the other hand, we need to provide technology that is able to perceive the environment, detect and recognize humans, navigate in changing environments, localize and manipulate objects, initiate and understand a spoken dialogue and analyse the different scenes to gain a better understanding of the surrounding." In the words of the RoboCup mission statement: "The ultimate goal is to'develop a robot soccer team which beats the human world champion team.'
These include five lidars, two radars, 18 ultrasonic sensors, two optical speed sensors, six AI cameras, GNSS positioning and a powerful Nvidia Drive PX2 'brain' processor, capable of 24 trillion AI operations per second. Roborace first revealed the stunning 4.8-metre-long (15.7 ft), two-metre-wide (6.5 ft) vehicle at March's Mobile World Congress in Barcelona. The futuristic vehicle completed a lap of the Paris ePrix circuit (pictured) ahead of the city's 2017 Formula E race, which took place on Saturday Saturday's public demonstration saw the car whip around 14 turns of the almost 2 kilometre (1.2 mile) track driven entirely by AI and sensors Mr Sverdlov said: 'This is a huge moment for Roborace as we share the Robocar with the world and take another big step in advancing driverless electric technology. Technologies guiding the vehicle include five lidars, two radars, 18 ultrasonic sensors, two optical speed sensors, six AI cameras, GNSS positioning and a powerful Nvidia Drive PX2 'brain' processor, capable of 24 trillion AI operations per second Mr Simon said: 'Roborace opens a new dimension where motorsport as we know it meets the unstoppable rise of artificial intelligence.