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Researchers In US & China Use Machine Learning To Make Better Solar Panels CleanTechnica

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Solar power and advanced computing are a key cleantech intersection point. From renewables return on investment optimization to optimal rooftop commercial solar deployment, machine learning is helping us get more efficient and effective in our global transformation. Researchers in the US and China are using machine learning to discover new solar panel chemistries to increase the base efficiency and economic effectiveness of solar panels. They are trialing hundreds or thousands of combinations in virtual test beds before bringing them into the physical world, a key element of the machine-to-reality value proposition. Let's start in the United States with Jinxin Li, Basudev Pradhan, Surya Gaur, and Jayan Thomas from the sun-drenched campus of the University of Central Florida.


AI in retail: Survival depends on getting smart

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The retail sector is the poster child for the use of artificial intelligence. Self-driving delivery robots, automated warehouses, intelligent chatbots, personalized recommendations, and deep supply chain analytics have been making significant impact on the bottom line -- if you're Amazon.com. Other retailers, however, are struggling to adapt. In fact, only 19 percent of large retailers in the U.S., UK, Canada and Europe have deployed AI and are using it in production, according to Gartner. Get the latest insights with our CIO Daily newsletter.


Shaping an Australian Navy Approach to Maritime Remotes, Artificial Intelligence and Combat Grids – Second Line of Defense – IAM Network

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By Robbin Laird During my visit to Australia last October, I had a chance to talk to a number of people about the evolving approach in Australia to maritime remotes and their evolving role within the "fifth generation" warfare approach or what I refer to as building a distributed integratable force or an integrated distributed […]


SoftBank hires UK team for robotics push

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Its robots include Pepper, a 4-foot tall humanoid assistant with a tablet computer, designed for giving directions or assistance – or for use in care homes. In Japan, it has already been deployed in a variety of roles, in one case even donning a Buddist robe and being employed as a robot priest. Its latest robots include Nao, a 2-foot tall robot for education and research, and Whiz, an autonomous robot vacuum cleaner. SoftBank Group, led by investor Masayoshi Son, has taken a keen interest in robotics as part of his vision for a future connected world. It has invested hundreds of millions of dollars in robotics start-ups, including backing Zume – which designed a pizza making robot – and in January it led a $32m (£24m) round in robot waiter start-up bear robotics.


First drug developed using machine learning enters clinical trials

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Before a new medicine enters human trials, there is typically three to five years of work behind the scenes, researching causes for diseases and compounds that may help treat them. But working with British AI startup Exscientia, a Japanese drug development company called Sumitomo Dainippon Pharma Co. is about to start phase 1 clinical trials after only 12 months. The drug in question is DSP-1181, a prospective treatment for obsessive-compulsive disorder (OCD). OCD affects millions of people worldwide, to varying degrees, and can be debilitating in its psychological effects. Exscientia, based in Oxford, UK, operates an exciting machine learning platform called Centaur Chemist. The platform allegedly takes years off the time required to research new compounds, by combining A.I. techniques with existing knowledge of how medicines interact with the human body.


Vivit Worldwide

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Join our Vivit Arizona Vivit Local User Group and Micro Focus for dinner and discussion about the latest innovations in artificial intelligence and machine learning as they relate to quality assurance and functional testing, and how they will address and solve the continuous delivery issues facing the software industry today. The event, hosted by Micro Focus in partnership with Vivit will be held at The Capital Grille in Phoenix. We will also have a prize drawing for a HP Sprocket photo printer. You don't want to miss this incredible event.


Daily AI Roundup: The Coolest Things on Earth Today

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Today's Daily AI Roundup covers the latest Artificial Intelligence announcements on AI capabilities, AI mobility products, Robotic Service, Technology from Blue Prism, HCL Technologies, Noble.AI, Tata Consultancy Services and 4Cite. To equip young talent with the digital skills and experience needed for the future job market, Blue Prism, a global leader in Robotic Process Automation, has collaborated with the EY Foundation, a UK charity helping young people access employment opportunities, to provide paid work experience and mentors through the EY Foundation ten month Smart Futures programme. HCL Technologies (HCL), a leading global technology company, announced that it has been named a Top Employer 2020 in the United Kingdom, Sweden, Germany, the Netherlands, Poland, France and South Africa. Dentsu Aegis Network has acquired 4Cite Marketing, a leading people-based identification and data services technology company.


Will having longer, healthier lives be worth losing the most basic kinds of privacy? John Harris

The Guardian

The deal has yet to be approved by the relevant regulators, but Google has got most of the way to buying Fitbit – the maker of wearable devices that track people's sleep, heart rates, activity levels and more. And all for a trifling $2.1bn (£1.6bn).The upshot is yet another step forward in Google's quest to break into big tech's next frontier: healthcare. Last month, in a Financial Times feature about all this, came a remarkable quote from a partner at Health Advances, a Massachusetts-based tech consulting company. Wearables, he reckoned, would be only one small part of the ensuing story: just as important were – and no guffawing at the back, please – "bedside devices, under-mattress sensors, [and] sensors integrated into toilet seats". Such inventions, it was explained, can "get even closer to you than your smartphone, and detect conditions such as depression or heart-rate variability".


Jumio and CIMB Bank PH Team up to Provide Filipinos Unmatched Digital Onboarding Experience With AI-Powered Identity Verification Technology

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SINGAPORE--(BUSINESS WIRE)--Jumio, the leading provider of AI-powered end-to-end identity verification and authentication solutions, has partnered with CIMB Bank Philippines' all-digital bank to provide a simple, hassle-free and convenient digital onboarding solution to Filipinos. In its first full year of formal operations, CIMB Bank Philippines signed in almost 2 million Filipinos via the CIMB Bank PH digital platform, 30% of which are first-time bankers, making CIMB Bank PH the fastest-growing all-digital bank in the Philippines and ASEAN, and a winner of eight banking awards in 2019. Driving financial inclusion, the all-digital, mobile-first bank offers the best-in-market savings interest rates of 4% with zero transaction fees and minimum balance, and seamless account opening and personal loan applications. CIMB Bank PH's mobile app integrates Jumio's AI-driven identity verification technology to provide a safe, secure and fast digital onboarding experience -- what used to take 15 minutes with a video KYC process now takes less than five minutes, resulting in an increase in conversions and happier customers. Jumio's identity verification solution uses machine learning, AI, certified liveness detection and face-based biometrics to ensure the person behind a digital transaction is who they say they are by matching a user's live selfie with the photo shown on their government-issued ID. "Our partnership with Jumio has been integral in achieving our milestones so far as an all-digital bank in the Philippines to deliver a safe and secure banking experience," said Vijay Manoharan, CIMB Bank PH CEO.


5 Open Source Machine Learning Projects to Challenge your Inner Data Scientist

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More people than ever before are looking for a way to transition into data science. Whether you're a fresh college graduate, a relatively new entrant in the industry, a mid-level professional, or someone who's just curious about machine learning – everyone wants a piece of the data science pie. And if you're from India, you would surely have read about the Government's investment in the data field (in the 2020 Union Budget). This is a great time to invest in your career! And one of the best ways to get your data science career off the ground is to invest in yourself.