ground transportation

Deep learning enables real-time imaging around corners: Detailed, fast imaging of hidden objects could help self-driving cars detect hazards


"Compared to other approaches, our non-line-of-sight imaging system provides uniquely high resolutions and imaging speeds," said research team leader Christopher A. Metzler from Stanford University and Rice University. "These attributes enable applications that wouldn't otherwise be possible, such as reading the license plate of a hidden car as it is driving or reading a badge worn by someone walking on the other side of a corner." In Optica, The Optical Society's journal for high-impact research, Metzler and colleagues from Princeton University, Southern Methodist University, and Rice University report that the new system can distinguish submillimeter details of a hidden object from 1 meter away. The system is designed to image small objects at very high resolutions but can be combined with other imaging systems that produce low-resolution room-sized reconstructions. "Non-line-of-sight imaging has important applications in medical imaging, navigation, robotics and defense," said co-author Felix Heide from Princeton University.

Gentackle (@gentackle)


Are you sure you want to view these Tweets? Agreed, and appreciate the parallel drawn here. Definitely a huge challenge to regulate these emerging & booming sectors. Interesting reading this as well: «I have been proud to work with #Tesla on advancing cleaner, more #sustainable #transportation technologies. Impact of #Digitalization and #Automation, #futureofwork "This is your #pilot speaking.

AI helping Japan railway companies to combat problems with snow

The Japan Times

Japanese railway companies are turning to artificial intelligence to help tackle potential problems for their shinkansen bullet trains caused by accumulations of snow. West Japan Railway Co. is developing an AI system to gauge the amount of snow attached to Hokuriku Shinkansen trains that cut through Niigata, Toyama and Ishikawa prefectures adjacent to the Sea of Japan. The railway operator currently decides how many personnel to deploy for snow clearance a day beforehand, based on information from meteorological data providers and past experience, but it is often not very accurate. AI will gather data from images of trains that have accumulated snow while traveling, study weather conditions and predict the number of personnel necessary for clearance work. Test operations have proved positive so far and the system is set for full introduction next winter.

The Top 10 futuristic advances that happened in the last decade


What are the biggest technological advances of the last decade? You may already be using some tech innovations like Siri and AI. Others haven't yet become a part of regular everyday life, like self-driving autonomous vehicles, CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) or augmented reality. What inventions and innovations do you hope to see in the next decade? 'Filling in the missing pieces': How AI is transforming drug discovery, development and innovation

Yamaha's robot can ride a motorcycle today. Eventually it might be your chauffeur.


We count on machines for our anti-lock brakes, cruise control and more. Tesla's autopilot and Google's self-driving pod are even stronger examples. But Yamaha has taken a distinct approach, building a human-like robot that sits on a motorcycle and rides it.

Processing Geospatial Data at Scale With Databricks


The evolution and convergence of technology has fueled a vibrant marketplace for timely and accurate geospatial data. Every day billions of handheld and IoT devices along with thousands of airborne and satellite remote sensing platforms generate hundreds of exabytes of location-aware data. This boom of geospatial big data combined with advancements in machine learning is enabling organizations across industry to build new products and capabilities. Maps leveraging geospatial data are used widely across industry, spanning multiple use cases, including disaster recovery, defense and intel, infrastructure and health services. For example, numerous companies provide localized drone-based services such as mapping and site inspection (reference Developing for the Intelligent Cloud and Intelligent Edge). Newswire - AI Stock News: GBT (OTCPINK: GTCH) Is Expanding Its Autonomous Machines (Robotics) Research


Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including its GopherInsight wireless mesh network technology platform and its Avant! AI, for both mobile and fixed solutions, announced that it is expanding its autonomous machines research, working on the development of a dynamic simulation program for robots. With the requirement for complex, real-time information analysis, a dynamic simulation of autonomous machines is a must for advanced robotic systems development and prototyping. As part of GBT's on-going robotics R&D activities, the Company is developing a new robotics simulation program in order to enable better emulate real-time robot control and functionality. A dynamic simulation for robots has strict requirements due to the fact that it is dealing with real world physical reality in real time.

CES 2020 Trends and Wrap up - Connected World -


CES 2020 did not disappoint if you were looking for IoT (Internet of Things), AI (artificial intelligence), and almost any connected technologies you could only dream about and perhaps a few you might have never imagined. Toyota announced Woven City, a sort of "living laboratory" at the foot of Japan's Mt. Fuji that will focus on developing and testing technologies in the realms of robotics, autonomous vehicles, smart construction and manufacturing, and smart homes. There were folding computers, like Intel's Horseshoe Bend device, a new EV (electric vehicle) in the form of Fisker's Ocean, and there was even the announcement that plant-based food company Impossible Foods would start making plant-based pork. If you missed the event, here is a more in-depth look at some overall trends and a few more of the highlights. Overall trends included smart transportation, encompassing autonomous vehicle technologies and EVs, as well as intelligent transportation and V2X (vehicle-to-everything) connectivity platforms.

The United States of Artificial Intelligence


The most well-funded US artificial intelligence startup is Nuro, with just over $1B in disclosed equity funding, including a $940M Series B from SoftBank in February 2019. The California-based startup is developing autonomous vehicles, with a focus on last-mile delivery. Nuro is followed by New York's UiPath ($1B in disclosed equity funding) and Illinois' Avant ($655M). There are 9 unicorn startups on our map: robotic process automation vendor UiPath ($7.1B valuation), autonomous vehicles software provider Argo AI ($7B), agtech startup Indigo Agriculture ($3.5B), Nuro ($2.7B), alternative lending startup Avant ($1.9B), AI-powered predictive sales platform The startup with the least funding on the list is Rhode Island's The Innovation Scout, a SaaS platform that connects enterprises with startups, accelerators, and more.

Intel's Blockbuster Results Lift Shares to Dotcom Peak, Fire Up Sector


Shares of AMD, which will report earnings next week, rose 1% to a record high. Nvidia shares were also up 1%. Intel's stock was up 8.6% at $68.75, a level it has not seen since the peak of the dotcom boom in 2000, propelling the broader Nasdaq and the Philadelphia SE Semiconductor Index to record highs. Other major chipmakers such as Taiwan Semiconductor Manufacturing Co Ltd (TSMC) and Texas Instruments have also given upbeat forecasts this month, cementing hopes of a rebound in the market that fell nearly 12% in 2019, according to research firm Gartner. However, Intel has struggled with delays in its 10nm chip technology, losing its lead to rival TSMC in the race to supply to the "new data economy", which includes 5G, autonomous vehicles and artificial intelligence.