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Radiant Earth Foundation releases benchmark land cover training data for Africa


Radiant Earth Foundation has released "LandCoverNet," a human-labelled global land cover classification training dataset. This release contains data across Africa, which accounts for 1/5 of the global dataset. Available for download on Radiant MLHub, the open geospatial library, LandCoverNet will enable accurate and regular land cover mapping for timely insights into natural and anthropogenic impacts on the Earth. Global land cover maps derived from Earth observations are not new, but the influx of open-access high spatial resolution Earth observations, such as that from the European Space Agency's Sentinel missions, coupled with improved computer power, encouraged the development of advanced algorithms. Machine learning models applied to high resolution remotely sensed imagery can classify land cover classes more accurately and faster, given the availability of high-quality training data.

It's Time to Rethink Machine Learning Models in Financial Services


Richard Harmon, Managing Director of Financial Services at Cloudera, discusses the importance of relevant machine learning models in today's age, and how the financial sector can prepare for future changes. The past six months have been turbulent. Business disruptions and closures are happening at an unprecedented scale and impacting the economy in a profound way. In the financial services sector, S&P Global estimates that this year could quadruple UK bank credit losses. The economic uncertainty in the UK is heightened by Brexit, which will see the UK leave the European Union in 2021.

Syntiant raises $35 million for AI speech-processing edge chips


Syntiant, a startup developing AI edge hardware for voice and sensor solutions, today closed a $35 million round. CEO Kurt Busch says the funds will be used to ramp up production throughout the remainder of 2020. According to a report published by Meticulous Research, the speech and voice recognition hardware market is expected to reach $26.8 billion by 2025. That's because devices like smart speakers, smart displays, phones, headphones, hearing aids, and laptops require low-power chips to process utterances. While some system-on-chip offerings sport coprocessors to handle voice recognition, they're often not able to accommodate multiple form factors. Three-year-old Syntiant, which is headquartered in Irvine, California, provides hardware that merges machine learning with semiconductor design for always-on voice applications.

Royal Bank of Canada and Borealis AI announce new AI


RBC's AI private cloud platform is the first-of-its-kind in Canada to deliver intelligent software applications and boost operational efficiency Royal Bank of Canada (RBC) and its AI research institute Borealis AI have partnered with Red Hat and NVIDIA to develop a new AI computing platform designed to transform the customer banking experience and help keep pace with rapid technology changes and evolving customer expectations. "Modern AI cannot exist without access to high performance computing. This collaboration means that we can conduct research at scale, and deploy machine learning applications in production with improved efficiency and speed to market." As AI models become more efficient and accurate, so do the computational complexities associated with them. RBC and Borealis AI set out to build an in-house AI infrastructure that would allow transformative intelligent applications to be brought to market faster and deliver an enhanced experience for clients.

3 Ways Artificial Intelligence Will Change Healthcare


It's no secret that healthcare costs have risen faster than inflation for decades. Some experts estimate that healthcare will account for over 20% of the US GDP by 2025. Meanwhile, doctors are working harder than ever before to treat patients as the U.S. physician shortage continues to grow. Many medical professionals have their schedules packed so tightly that much of the human element which motivated their pursuit of medicine in the first place is reduced. In healthcare, artificial intelligence (AI) can seem intimidating.

Artificial Intelligence Certifications


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Flight Simulator: machine learning-fueled simulator, grows over time – IAM Network


Microsoft has just provided two new nuggets on information from Flight Simulator, which is about to make its descent onto gamers' systems on August 18 -- now, also on Steam. VIEW GALLERY – 10 IMAGES In a new update, Microsoft explained that Flight Simulator "heralds a new era of data-driven flight simulation". In the update, Microsoft continued: "One of the exciting implications of this is that the data that makes up the world is always improving, and players can look forward to a simulator that evolves over time".The post continued: "Thanks to our partnership with Bing, players will enjoy new, even better terrain, and an ever evolving, machine learning-fueled simulator that grows over time".Microsoft finished up the update on Flight Simulator, adding: "We have so much ahead for Microsoft Flight Simulator, but even on day one simmers will get highly detailed aircraft, a new checklist system, live air traffic, dynamic weather, new aerodynamic modeling, as well as all the many other features we shared in our launch date announcement, all within a beautifully crafted and rendered world. Whether you are new to flight simulation or an aviation pro, the sky is calling in Microsoft Flight Simulator".There will be 3 different …

As Covid-19 hounds the world, AI and IoT lead the charge in Healthcare 4.0 - ET HealthWorld


By Pradeep Kolankari, Senior Director, Medical Devices and Healthcare, Capgemini At a hospital in Wuhan in China, robots and IoT devices were used to check patients' temperatures, as well as monitor their heart rates and sugar levels through a smart bracelet worn by patients. They also cleaned and disinfected the area, apart from providing food and medicines to patients. Best of all, they even entertained patients with some dance moves. Welcome to the age of the Internet of Things (IoT) in healthcare! Globally, the healthcare landscape is stretched.

Ex-Waymo engineer Levandowski sentenced to 18 months in prison


US District Judge William Alsup has sentenced Anthony Levandowski, the former lead Waymo engineer at the heart of a trade secret legal battle between the Alphabet subsidiary and Uber, to 18 months in prison. Prosecutors sought a 27-month sentence, while Levandowski requested a one-year home confinement, telling the court that his recent bouts with pneumonia makes him susceptible to COVID--19. According to TechCrunch, Alsup shot his request down, explaining that home confinement and a short prison sentence "[give] a green light to every future brilliant engineer to steal trade secrets. That said, he allowed Levandowski to enter custody once the pandemic has subsided. Alphabet filed a lawsuit against Uber in 2017, accusing the company of colluding with its former employee to steal secrets from Waymo. While Levandowski didn't immediately join Uber after leaving the Google division that eventually became Waymo, the ride-hailing titan quickly acquired the self-driving truck startup he founded. In its lawsuit, Alphabet said its former employee downloaded over 14,000 confidential and proprietary design files for various Waymo hardware, including its LiDAR system. The two companies reached a settlement in 2018, with Waymo making sure that Uber would develop its own self-driving technology. In mid--March this year, Levandowski agreed to plead guilty to one count of stealing materials from Google to make other criminal charges go away. "The last three and a half years have forced me to come to terms with what I did.