Frederick Mutual Insurance Company has signed a commercial agreement with Betterview – a start-up that develops solutions for the property insurance market – to leverage the latter's AI-powered property risk management platform. Terms of the agreement were not disclosed. Through the agreement, Frederick Mutual will utilize Betterview's property analytics to enhance the lifecycle of its policies – from loss control and underwriting to claims and catastrophe response. Betterview's platform is used by personal lines and commercial lines carriers to identify and score roofing conditions, as well as other related property risks. The start-up makes this possible through the use of machine learning and computer vision to analyze aircraft and satellite imagery.

Having a compact, yet robust, structurally-based identifier or representation system for molecular structures is a key enabling factor for efficient sharing and dissemination of results within the research community. Such systems also lay down the essential foundations for machine learning and other data-driven research. While substantial advances have been made for small molecules, the polymer community has struggled in coming up with an efficient representation system. For small molecules, the basic premise is that each distinct chemical species corresponds to a well-defined chemical structure. This does not hold for polymers.

AI in Oil & Gas market is expected to grow from an estimated $1.57 billion in 2017 to $2.85 billion by 2022, at a CAGR of 12.66%, from 2017 to 2022. The growth of AI in Oil & Gas market will be mainly driven by the rise in adoption of the big data technology in the Oil & Gas industry to augment E&P capabilities, a significant increase in venture capital investments, and growing need for automation in the Oil & Gas industry, and tremendous pressure to reduce production costs. Software in AI in Oil & Gas market is applicable in upstream Oil & Gas exploration and production activities. The hardware segment in AI in Oil & Gas market is expected to grow swiftly during the forecast period (2017 to 2022), mainly due to the increasing requirement for sophisticated hardware system configurations and components capable of handling massive data, including, but not limited to Tensor Processor Unit (TPU), Graphic Processing Unit (GPU), Resistive Processing Unit (RPU), Field Programmable Gate Array (FPGA), and Visual Processing Unit (VPU) to install software-based AI capabilities. The upstream AI in Oil and Gas Market is set to grow in the next five years.

The Cabinet on Friday approved rules for operating partially self-driving vehicles, paving the way for the use of autonomous vehicles on public roads. Autonomous driving technology is classified into five levels, ranging from Level 1, which allows either steering, acceleration or braking to be automated, to fully automated Level 5. The government plans to enforce an ordinance defining violations and setting penalties by May next year as it envisions the use of Level 3 vehicles, which allow conditionally automated driving, on expressways in 2020. The newly decided penalties apply to the inappropriate use of Level 3 autonomous driving technologies, which require users to switch to manual operations when preset conditions regarding road type, driving speed, weather, time of day and other factors are no longer met. Violators of the ordinance will face fines of up to ¥12,000 ($110) depending on vehicle size.

The Olympic Games Tokyo 2020 promise to exhibit not only the highest standards in human endurance and physical ability, but also some wild, cutting-edge technology never visible (or invisible) before at a public event of this size. Here are some of the most interesting technologies on display featuring AI and VR to artificial shooting stars, among others. In October 2017, the NTT Group established a consortium comprising six companies with SoftBank, Facebook, Amazon, PLDT, and PCCW Global to begin constructing "JUPITER", a large-capacity optical submarine cable system linking the United States, Japan, and the Philippines. Construction is currently scheduled for completion in March 2020. "JUPITER" has the speed to transmit approximately six hours of high vision images (about three full movies) in one second.

ARTIFICIAL INTELLIGENCE is making its way into every aspect of life, including military conflict. We look at the thorny legal and ethical issues that the newest arms race raises. Three executives from Fukushima's melted-down nuclear-power plant were cleared of negligence today, but the disaster's aftermath is far from over. And, what a swish new Chinese restaurant in Havana says about China-Cuba relations.

Each successive generation of Raspberry Pi has brought something new to the table. The latest release, the Raspberry Pi 4, is no exception, upgrading the low-cost single-board computer to include true gigabit Ethernet connectivity, a high-performance 64-bit central processor, more powerful graphics processor, and up to 4GB of RAM. It's a low-cost way to play with RISC-V and Kendryte's KPU, but more expensive than an Arduino for microcontroller use and too limited for general-purpose AI work. Even with these impressive-for-the-price specifications, though, there's something the Raspberry Pi can't easily do unaided: deep learning and other artificial intelligence workloads. With an explosion of interest in AI-at-the-edge, though, there's a market for Raspberry Pi add-ons which offer to fill in the gap - and the Grove AI HAT is just such a device, billed by creator Seeed Studio as ideal for AI projects in fields from hobbyist robotics to the medical industry.

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The human brain is a funny thing. Certain memories can stick with us forever: the birth of a child, a car crash, an election day. But we only store some details--the color of the hospital delivery room or the smell of the polling station--while others fade, such as the face of the nurse when that child was born, or what we were wearing during that accident. For Google CEO Sundar Pichai, the day he watched AI rise out of a lab is one he'll remember forever. "This was 2012, in a room with a small team, and there were just a few of us," he tells me. An engineer named Jeff Dean, a legendary programmer at Google who helped build its search engine, had been working on a new project and wanted Pichai to have a look. "Anytime Jeff wants to update you on something, you just get excited by it," he says. Pichai doesn't recall exactly which building he was in when Dean presented his work, though odd details of that day have stuck with him. He remembers standing, rather than sitting, and someone joking about an HR snafu that had designated the newly hired Geoffrey Hinton--the "Father of Deep Learning," an AI researcher for four decades, and, later, a Turing Award winner--as an intern. The future CEO of Google was an SVP at the time, running Chrome and Apps, and he hadn't been thinking about AI.

It's often said that data is the oil of the twenty-first century, and artificial intelligence is the driving force. Companies in all sectors are combining the reasoning abilities of the human mind with the processing power of computers, developing algorithms that can trawl through colossal data sets to help businesses make more informed decisions. That means that tomorrow's future business leaders need more than a passing familiarity with AI. For this reason, several of the world's best business schools have launched specialist master's programs in AI. Canada's Smith School of Business, the University of Bologna in Italy, and Imperial College London are among the top-tier institutions running AI MSc courses that give students the technical, managerial and interpersonal skills they need to master machines.