If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Huawei Consumer Business Group (CBG), the global smartphone giant, has announced the launch of its new HUAWEI nova 3 and HUAWEI nova 3i in the UAE. Both smartphones are powered by Artificial Intelligence (AI) in its overall functioning and camera features. With dual front camera (24MP 2MP), users can expect the best-in-technology'selfie' that a smartphone can offer. HUAWEI nova 3 series was initially designed with the younger and trendier consumers in mind, for whom a smartphone is not just part of their lifestyle but also represents their personal style. The series is designed to offer an AI-enhanced lifestyle, which includes a huge focus on an outstanding selfie experience with its AI beautification features and front camera that allows one to capture AI selfies.
Digital Surgery, a health tech startup based in London, today launched what it's calling the world's first dynamic artificial intelligence (AI) system designed for the operating room. The reference tool helps support surgical teams through complex medical procedures -- cofounder and former plastic surgeon Jean Nehme described it as a "Google Maps" for surgery. "What we've done is applied artificial intelligence … to procedures … created with surgeons globally," he told VentureBeat in a phone interview. "We're leveraging data with machine learning to build a [predictive] system." Well-funded hospital systems have shown an interest in automation.
In an exclusive arrangement with Slice ICS, The Co-operators will create new insurance products to meet growing customer needs for easy, on-demand insurance solutions that satisfy emerging digital economies. Launching later this summer under the brand name duuo by Co-operatorsTM the first product will provide pay-per-use homeshare insurance underwritten by Co-operators General Insurance Company, for hosts using home sharing platforms like Airbnb, HomeAway and VRBO . The duuo by Co-operatorsTM brand reflects The Co-operators commitment to working together with clients to provide peace of mind in a way that is easy, fast, fair and affordable – a commitment made possible through the Slice platform. "We were founded in 1945 by a small group of farmers and social pioneers who found that their needs were not met by traditional insurance offerings, so they found a new way of protecting their financial security in a time of need," said Rob Wesseling, President and CEO of The Co-operators Group Limited. "Our new business partnership with Slice is the 21st century version of this mindset, it will allow us to meet the underserved insurance needs of Canadians participating in a highly innovative digital economy.
Zoox, a once-secretive self-driving car startup, is closing a $500 million raise at a $3.2 billion post-money valuation, Bloomberg Businessweek reports. Prior to the deal, Zoox was valued at $2.7 billion, Zoox confirmed to TechCrunch. The round, led by Mike Cannon-Brookes of Grok Ventures, brings its total amount of funding to $800 million. Zoox's plan, according to Bloomberg, is to publicly deploy autonomous vehicles by 2020 in the form of its own ride-hailing service. The cars themselves will be all-electric and fully autonomous.
Intuit said it has sold its largest data center to H5 Data Centers as it aims to speed up its move to the cloud. The company said that it is selling its data center in Quincy, Washington to H5, which operates data centers. Intuit is among the higher profile software vendors moving to Amazon Web Services. Intuit noted that AWS was able to handle peak tax season traffic and that gave it confidence to get out of the data center business. Related: The data science life: Intuit's Ashok Srivastava on AI, machine learning, and diversity of thought Intuit to use AWS as its standard artificial intelligence platform The hit to earnings will be offset by tax benefits from the sale.
Light cofounder and CEO Dave Grannan raised $121 million for his imaging platform on the promise of its value to robotics, drones, and, especially, self-driving vehicles.Courtesy of Light In February, Dave Grannan, cofounder and CEO of imaging startup Light, flew to Tokyo to meet SoftBank's Masayoshi Son for the first time since beginning conversations with the Japanese billionaire's venture-capital arm. After two more meetings, in Tokyo and Silicon Valley, Son agreed to lead a massive $121 million investment in Light, through his SoftBank Vision Fund. Leica Camera also joined the deal. A big reason that Light was able to attract so much funding is the promise of robots, drones and, especially, self-driving cars. Light uses complex algorithms to combine images from multiple camera modules into a single, high-quality image with depth.
In the broad sweep of AI's current worldly ambitions, machine learning healthcare applications seem to top the list for funding and press in the last three years. Since early 2013, IBM's Watson has been used in the medical field, and after winning an astounding series of games against with world's best living Go player, Google DeepMind's team decided to throw their weight behind the medical opportunities of their technologies as well. Many of the machine learning (ML) industry's hottest young startups are knuckling down significant portions of their efforts to healthcare, including Nervanasys(recently acquired by Intel), Ayasdi (raised $94MM as of 02/16), Sentient.ai With all the excitement in the investor and research communities, we at TechEmergence have found most machine learning executives have a hard time putting a finger on where machine learning is making its mark on healthcare today. We've written this article, not to be a complete catalogue of possible applications, but to highlight a number of current and future uses of machine learning in the medical field, with relevant links to external sources and related TechEmergence interviews.
Let's be real: you are most certainly never going to be as good as Steve Nash, Chris Paul, James Harden -- or really any professional NBA player. But it probably won't stop you from trying to practice or model your game around your favorite players, and spend hours upon hours figuring out how to get better. And while there are going to be plenty of attempts to smash image recognition and AI into that problem, a company called NEX Team is hoping to soften the blow a bit by helping casual players figure out their game, rather than trying to be as good as a professional NBA player. Using phone cameras and image recognition on the back end, its primary app HomeCourt will measure a variety of variables like shot trajectory, jump height, and body position, and help understand how to improve a player's shooting form. It's not designed to help that player shoot like Ray Allen, but at least start hitting those mid-range jumpers.
According to CNET, Nest has announced today that Marwan Fawaz will no longer be its CEO. As part of his departure, Nest will now be folded into Google's home and living room products team. In a joint interview with Fawaz, Rishi Chandra, vice president of product management for Google's home and living room products, said that the combination would make it easier for Google to integrate some of its machine learning technology and artificial intelligence into Nest products. This move comes six months after Nest merged with Google's hardware division. Nest co-founder Matt Rogers left soon after as well.
Alice Zhang appeared on Forbes' 2017 list of the 30 Under 30 in Science.Jamel Toppin for Forbes Alice Zhang, 29, was a graduate student at UCLA when she decided there was a tremendous opportunity to speed up the process of drug development. "I started becoming frustrated with how drug discovery was done. I viewed it as a guessing game and largely focused on single targets. In our lab, we were finding that literally hundreds of targets were causing disease. We could start taking the guesswork out of drug discovery."