On September 18, 2019, RoboSense announced at Brussels, Belgium that its flagship product RS-LiDAR-M1 Smart LiDAR Sensor has been awarded the elite AutoSens Awards trophy in the "Best Automotive Safety System" category, given to only the highest-rated innovative product or technology in the automotive industry. This press release features multimedia. True autonomous driving requires human-like advanced sensing of the environment for driving with little or no human input. The safety of passengers and passers-by is always the priority concern for autonomous driving. When the RS-LiDAR-M1 is integrated into the current autonomous driving car perception system, it overcomes the weaknesses of millimeter wave radar and camera technologies on identifying obstacles, and eliminates car accidents, such as Tesla's recent cases, greatly improving the security of autonomous driving and ensuring passenger safety.

Artificial intelligence and machine learning may be ideal for picking up the day-to-day tasks of running enterprises, but still fall flat when it comes to innovation or reacting to unforeseen or one-off events. While enterprise-grade AI is still a ways off, it's incumbent on business and IT leaders to start piloting and exploring the advantages AI potentially offers. That's the word coming out of a recent report from the MIT Task Force on the Work of the Future, which looked at AI as part of a broad range of changes sweeping the employment scene and workplace. "We are a long way from AI systems that can read the news, re-plan supply chains in response to anticipated events like Brexit or trade disputes, and adapt production tasks to new sources of parts and materials," state the report's authors, David Autor, Ford professor of economics at MIT, along with David Mindell, professor of the history of engineering and manufacturing at MIT, and Elisabeth Reynolds, principal research scientist at MIT. For starters, data – the fuel that propels AI decision-making – is not ready for the leap.

There's untold opportunity in the mountains of data being amassed today but also the potential for harm, according to former U.S. Chief Data Scientist DJ Patil. Modern life has changed dramatically over the past decade, thanks in large part to new technologies and the ever-evolving business models they've enabled, but the fundamental transformative factor underlying it all is data. So contended DJ Patil, who served as the first chief data scientist for the United States, at the most recent Deloitte Analytics and AI Summit. Massive increases in computational power and storage are making it possible to collect, store, and analyze rapidly increasing volumes of data--currently some 2.5 quintillion bytes every day, by Patil's estimation--and the transformations that have resulted so far are just the beginning, he said. "We're about to go from sequencing the human genome to precision medicine. Autonomous vehicles have started to appear on our roads, and we'll soon see efforts to build self-driving cargo ships and airplanes as well."

Amazon's AMZN customer-oriented focus is evident from its strong efforts toward strengthening cloud service offerings. In fact, the company is making every effort to expand presence in the cloud computing space backed by robust product and services portfolio of Amazon Web Services (AWS). The move to make its new GPU-powered Amazon Elastic Compute Cloud (Amazon EC2) instance, G4 instances, generally available is testament to the fact. Notably, these instances are capable of networking throughput of up to 100 Gbps and 1.8 TB of local NVMe storage. Further, these instances feature NVIDIA T4 GPUs and 2nd Generation Intel Xeon Scalable processors.

Researchers have unveiled an octocopter that attaches asphalt shingles to roofs using a nail gun and'virtual switch'. This robotic carpenter's software measures the force needed to compress the point of the nail gun and a human operator activates a virtual switch when the robotic carpenter is in place. Researchers have unveiled its roofing octocopter that attaches asphalt shingles to roofs using a nail gun and'virtual switch' The roofing octocopter is the brain child of researchers at the University of Michigan, which is part of the movement to shift humans from'dull, dirty and dangerous job' into'cleaner, safer and more interesting jobs'. 'For me, the biggest excitement of this work is in recognizing that autonomous, useful, physical interaction and construction tasks are possible with drones,' said Ella Atkins, a professor of aerospace engineering and robotics. The team used a system of markers and stationary cameras to enable the drone to precisely locate itself in space and the system was also used to tell it where to place the nails.

Which means that's we're back with our ServiceNow release guide, covering the major improvements and additions to the ServiceNow platform. For the "big apple" we've got big news; major IT Business Management changes, Asset perks, GRC upgrades, and 15 other major advancements that you need to know about. To get started, download your full (free) copy of the New York Release Guide or skim a preview below. As the second release of 2019, ServiceNow New York continues to both enhance existing functionality across the entire platform, as well as strategically improve critical, competitive areas. In the New York Release, ServiceNow pushes itself in overall technical innovation.

Enterprises around the world, including in India, are increasingly turning to Artificial Intelligence-powered chatbots for customer acquisition, knowledge management and employee engagement. Last September, visa outsourcing and technology services company VFS Global, deployed a chatbot--Viva--offering round-the-clock assistance to visa applicants headed to Australia. Powered by artificial intelligence (AI), the chatbot can decipher patterns from previous interactions, what customers and VFS Global consider as useful information. "Viva radically decreases the response time by replacing an interaction with call centres through chats. Also, it has helped us understand which queries to focus on to improve user experience," said Benjamin Boesch, digital and e-commerce head at VFS Global. In India, Raymond has roped in Applicate IT Solutions' Sellina AI assistant to help, train and engage with the textile giant's 5,000-strong dealer network.

Dr. Benji Maruyama is a Principal Materials Research Engineer in the Air Force Research Laboratory, Materials & Manufacturing Directorate. He is the Leader of the Flexible Materials and Processes Research Team, and leads research on the synthesis and processing science of carbon nanotubes. Dr. Maruyama created and is developing a new method research: Autonomous Research Systems for Materials Development. He is also the point of contact for carbon materials for the Materials and Manufacturing Directorate. His background and interests include carbon nanomaterials, energy storage, field emission, carbon, polymer and metal matrix composites, imaging of complex 3D microstructures and combinatorial experimentation.

Consider, for example, that the temperature of most quantum processing chips must be kept as close to absolute zero (roughly -460 degrees Fahrenheit) as possible. Or that some physicists think quantum computing is "the first technology that allows useful tasks to be performed in collaboration between parallel universes." Or that a quantum computer recently "made history go backward." True, it was only a simulation, but still -- brain blowing stuff. Before we get carried away, though, let's consider the foundational basics. Classical computers operate using binary bits, storing data and running processes using ones and zeroes.

The Defense Department today is wrapping up a three-day "hackathon" aimed at using artificial intelligence for aircraft maintenance.