Facebook said Wednesday that personal data for up to 87 million people--tens of millions more than originally thought--may have been "improperly shared" with Cambridge Analytica, the data analytics firm that worked for Donald Trump's 2016 campaign. Most of those affected were in the United States, the company said. Facebook included the disclosure in the second-to-last paragraph of a company statement that also described new measures to restrict third-party access to user data. Recent stories in the New York Times and the British Observer cited a former Cambridge Analytica employee, Christopher Wylie, who said that the Facebook data of more than 50 million people had been harvested and provided to Cambridge Analytica in 2014. The data was acquired, Wylie said, in the hopes of building personality-based models to target and influence voters in US elections.

Commenting on the report, an Automotive Artificial Intelligence (AI) Market analyst one trend affecting this market is advent of infotainment systems powered by automotive AI. Automotive AI can be defined as the technological capability of the machine to make logical decisions based on certain parameters without the aid of a human. This report covers the present scenario and the growth prospects of the Global Automotive Artificial Intelligence (AI) Market. To calculate the market size, the report considers the revenue generated from the application of AI, such as human-machine interface, ADAS applications, and autonomous vehicles. Key questions answered in this report - What will the market size be in 2022 and what will the growth rate be? - What are the key market trends?

Setting new trends in the industry, this 20-storey, four-star hotel offers 269 guest rooms including 54 suites. Designed by the team that successfully relaunched the Hôtel Gault, Monville is redefining customer service by offering the latest integrated technological innovations. This robot, developed by the California firm Savioke, helps make a stay at Monville a truly unique experience, in harmony with the growing digital age. Guests can check in easily and quickly at electronic kiosks, where they will also automatically receive their room keys. Human receptionists can thus dedicate more time to helping guests discover Montréal's many attractions.

DeepMind Technologies Inc., the machine learning company owned by Alphabet Inc., announced today that it's opening a new artificial intelligence lab in Paris. The new lab will be headed by Remi Munos (pictured), a French native and senior researcher at DeepMind who has authored 150 research papers. In an announcement video, Munos said Paris is a perfect fit for DeepMind's next lab because the city has a thriving AI and machine learning ecosystem that's still growing. "Effectively, there are a large number of research labs in universities, engineering schools and public research centers together with a large number of AI startups who have appeared, as well as large companies that are setting themselves up," said Munos. "Joining this network is a very positive move for DeepMind, to collaborate with this scientific community in order to contribute to research and also to teach students." Frédérique Vidal, France's Minister of Higher Education, Research and Innovation, said in a statement that DeepMind's Paris lab "demonstrates the excellence and attractiveness of the Artificial Intelligence Ecosystem in France," and she added that the country will soon establish partnerships with "the public actors of French research."

Microsoft is betting big on'democratising' artificial intelligence (AI) and plans to make it'available to all' to improve lives and transform organizations. Reducing the risk of accidents, predicting the behavior of users, detecting the disease and helping the farms to increase the crop fields are some of the advantages of AI-based innovations. Is it something that would be harnessed by some of the biggest companies in the world? Who is AI for?" said Anant Maheshwari, president, Microsoft India, in his keynote address at the company's'AI for All' conference here. "And one of the core perspectives we have had as a company is to democratize AI and bring it for everyone," he said. Microsoft is helping more than 650 Indian-based partners to build innovative solutions with the help of its cognitive services, AI, machine learning and IoT solutions. The company and its partner firms have deployed AI solutions in different fields such as agriculture, retail, e-commerce, manufacturing, healthcare, education, and BFSI. For instance, Flipkart is using AI and analytical capabilities in Microsoft cloud computing Azure to deliver a customized experience to its users. Ola uses Microsoft's IoT and AI solutions to improve the experience of its passengers and drivers. The telematics platform transforms the car into a high-performance intelligent vehicle, improving engine and driver performance. It also enables to predict breakdowns, make smart navigation and enhance security and safety. Microsoft has signed an agreement with a Bengaluru based healthcare startup Forus, on retinal imaging devices. It would use AI and IoT for early detections of eye diseases such as glaucoma, macular degeneration, diabetic retinopathy and help in reducing blindness. "AI is going to be very important because when you can give the response to somebody [patient] immediately, the chances of he taking the whole thing more seriously is very high," said K. Chandrasekhar, co-founder, and CEO of Forus. He said that India had only 20,000 ophthalmologists for the growing population of 1.3 billion. Microsoft also said that as we are entering into the world of AI with all the ingredients like big data, computing power, and cloud technologies together, the company is taking the consequences of AI very seriously. "We don't want to unleash it, we want to be very mindful of it," said Peggy Johnson, executive vice president, business development at Microsoft. "As AI is introduced in our daily lives, we want people to know what is going on with their data," said Ms. Johnson. "If anything should go wrong, you can't say'oh the machine did it' that just is not an acceptable answer.

The race for making perfect hardware to accelerate artificial intelligence (AI) applications is heating up and many companies are jumping in with their products and solutions. Of the three key parts of hardware infrastructure compute, storage, and networking compute has made significant progress in the last couple of years. The other two areas, storage and networking, are lagging behind and have yet to see major innovations pertaining to AI applications. Currently, the industry is going with the fastest available option and promoting that as a solution for deep learning. Over time, more research and development (RandD) will go into these areas and new products will emerge that are designed specifically for AI.The distributed computing infrastructure that allows AI applications to run on multiple machines is in its infancy.

ARLINGTON, Va.--(BUSINESS WIRE)--The Consumer Technology Association (CTA) today announced that CES Asia 2018 will highlight advancements in artificial intelligence (AI) as a new dedicated product category on the show floor, building on the successful demonstration of AI applications across the latest consumer tech products showcased at CES earlier this year. Alibaba A.I. Labs, Baidu DuerOS and iFLYTEK, among others, will exhibit the latest in big data analytics, speech recognition and predictive technology. With China setting the pace to become a global innovation leader in AI, CES Asia will bring together the biggest players shaping the future of artificial intelligence. "Artificial intelligence is one of those exciting technologies that will become ubiquitous in the next decade as it becomes more deeply embedded in the products that we use day in and day out to make our lives better, " said John T. Kelley, senior director, international programs and show director, CES Asia. "AI is already being incorporated in everyday consumer technology products that provide practical benefits, including cars, smart homes, robotics, health and wellness devices and home security. China is leading the way in AI, embracing innovation and setting global standards and it will be front and center during CES Asia 2018!" More, ARM Accelerator and the Hong Kong University of Science and Technology will bring several cutting-edge companies to CES Asia.

Adobe and Nvidia have announced a partnership that will see both companies deliver new artificial intelligence (AI) and deep learning services for Adobe Creative. Making the announcement during the Adobe Summit keynote in Las Vegas on Wednesday, Adobe CEO and president Shantanu Narayen was joined by Nvidia founder and CEO Jensen Huang. Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of them. The CEOs said the partnership will see both companies work to optimise the Adobe Sensei AI and machine learning framework for Nvidia GPUs.

WASHINGTON--(BUSINESS WIRE)--NAB Show will present a new half-day program within the Next-Generation Media Technologies Conference titled "Get Ready for Machine Learning and Artificial Intelligence." The program, which takes place Tuesday, April 10, from 9 a.m. to 12 p.m. at the Las Vegas Convention Center, will include six sessions that highlight the various ways machine intelligence is impacting content creation. The panels will explore how machine intelligence can increase productivity, efficiencies and creativity in production planning, animation, visual effects, post-production and localization. Attendees will learn the current capabilities of neural network-based tools while also seeing the potential of these innovations to alter jobs, workflows and the nature of content itself. The program will begin with the presentation "The Evolution of Content Production Aided by Machine Learning," by Usman Shakeel, WW Technical Leader, Media and Entertainment at Amazon Web Services.

ANYmal carries an onboard microphone with which music can be perceived. The beat of the music is analyzed and a suitable sequence of dance motions is choreographed. The desired and real motion trajectories are compared such that the delay between music and motion can be minimized. This work has been conducted as part of ANYmal Research, a community to advance legged robotics.