Leaked images appearing to show the Galaxy Note 9 has revealed further details of Samsung's next premium handset. The latest images come courtesy of notorious leaker Evan Blass, who shared a photo on Twitter showing the front and rear of the device, and a Chinese Twitter user who posted a picture of what seemed to be a switched-on Note 9. It appears to confirm that Samsung is sticking with a very similar design to that of the Galaxy Note 8, which featured an S Pen stylus. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

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.

Insurers and data brokers are predicting your health costs based on data about things like race, marital status, how much TV you watch, whether you pay your bills on time or even buy plus-size clothing.Scanrail/Getty Images This story was originally co-published by ProPublica and NPR. But dig deeper and the implications of what they're selling might give many patients pause: A future in which everything you do--the things you buy, the food you eat, the time you spend watching TV--may help determine how much you pay for health insurance. With little public scrutiny, the health insurance industry has joined forces with data brokers to vacuum up personal details about hundreds of millions of Americans, including, odds are, many readers of this story. The companies are tracking your race, education level, TV habits, marital status, net worth. Then they feed this information into complicated computer algorithms that spit out predictions about how much your health care could cost them. Are you a woman who recently changed your name? You could be newly married and have a pricey pregnancy pending. Or maybe you're stressed and anxious from a recent divorce.

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.

How does a global corporation with 2 million employees, 10,000 brick-and-mortar stores, daily revenue of $1.37 billion and a booming e-commerce business become a lightning-fast innovation engine driven by staggering amounts of real-time data? For Walmart, the answer was to commit to a massive 5-year cloud deal with Microsoft that extends the two companies' existing partnership and adds significant credence to my long-held belief that the world's largest and most-influential cloud-computing vendor is indeed Microsoft rather than Amazon. Of course, given Amazon's recent forays into a few of Walmart's strategic strongholds--including groceries, pharmacies, general retailing, and e-commerce--Walmart had pretty much zero incentive to give Amazon's AWS cloud unit any of its business. But the allure of the iconic Walmart brand and the size and scope of this megadeal without question burnishes Microsoft Azure's already-strong reputation for being fully capable of handling some of the world's most-challenging enterprise workloads, IoT opportunities, and emerging AI-centric processes. In fact, I've predicted that for the quarter ending June 30, Microsoft will become the first Cloud Wars vendor to post $7 billion in commercial-cloud revenue in a single quarter, while I'm expecting Amazon to hit $6 billion in cloud revenue for the period.

Check out the "Decentralized data markets for training AI models" session at the Artificial Intelligence Conference in San Francisco, September 4-7, 2018. Hurry--early price ends July 20. In this post I share slides and notes from a keynote I gave at the Strata Data Conference in London at the end of May. My goal was to remind the data community about the many interesting opportunities and challenges in data itself. Much of the focus of recent press coverage has been on algorithms and models, specifically the expanding utility of deep learning.

Check out the "Model lifecycle management" sessions at the Strata Data Conference in New York, September 11-13, 2018. Hurry--early price ends July 27. Although machine learning (ML) can produce fantastic results, using it in practice is complex. Beyond the usual challenges in software development, machine learning developers face new challenges, including experiment management (tracking which parameters, code, and data went into a result); reproducibility (running the same code and environment later); model deployment into production; and governance (auditing models and data used throughout an organization). These workflow challenges around the ML lifecycle are often the top obstacle to using ML in production and scaling it up within an organization.

This project is jointly funded by the Data Lab and MASTS Industrial Doctorate program and by the University of Strathclyde. The successful candidate will be based at the University of Strathclyde in the Physics Department but will work with a range of experts in machine learning (Dr Jinchang Ren, EEE, Strathclyde), remote sensing (Dr Jacqueline Tweddle, University of Aberdeen) and with Scottish Government scientists (Drs Alejandro Gallego, Matthew Gubbins and Eileen Bresnan, Marine Scotland, Aberdeen). The PhD is open to EU nationals and is fully funded for a total of 3.5 years, with preferred start date of 1st Oct 2018. FTE Category A staff submitted: 27.00

From artificial intelligence (A.I.) to materials science, this year's Xconomy Awards finalists in the Innovation at the Intersection category are bringing a variety of disciplines outside of biology to bear on tough problems in life science. The hope is that advanced algorithms, novel biomaterials, and digital technologies will make drug discovery more efficient, cancer immunotherapies more effective, and wearable devices more beneficial for health and well-being. Angela Belcher, MIT Angela Belcher's molecular tool of choice has long been a virus that infects bacteria, called the M13 phage. The MIT materials scientist has engineered the virus so that it can grab onto nanomaterials to build better batteries and solar cells. In recent years, as a member of MIT's Koch Institute for Integrative Cancer Research, she has turned her attention to cancer.