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Category: robotics/AI – Page 1,746

Waymo Self-Driving Trucks Will Soon Start Moving Freight Across Texas

Last month, self-driving technology company TuSimple shipped a truckload of watermelons across the state of Texas ten hours faster than normal. They did this by using their automated driving system for over 900 miles of the journey. The test drive was considered a success, and marked the beginning of a partnership between TuSimple and produce distributor Guimarra. This is one of the first such partnerships announced, but TuSimple may soon have some competition from another big player in the driverless vehicles game: Alphabet Inc. subsidiary Waymo.

Yesterday, Waymo announced a partnership with transportation logistics company JB Hunt to move cargo in automated trucks in Texas. The first route they’ll drive is between Houston and Fort Worth, which Waymo claims is “one of the most highly utilized freight corridors in the country.”

At around 260 miles long, much of the route is a straight shot on Interstate 45. The trucks will have human safety drivers on board who will likely take over some of the city driving portions, but the goal is to use the automated system as much as possible. A software technician will be on board as well, which makes sense given software will be doing the bulk of the driving.

AI outperforms humans in microchip designs

Floorplanning is the process by which an integrated circuit is designed using a top-down view. Rather like the architectural plan of a home, garden, and walkways, each of the major functional blocks is placed in a schematic representation that provides a guide for where everything needs to be. This layout can include transistors, capacitors, resistors, wires and other components, all packed into extremely tiny spaces.

Determining the optimal configuration for processing speed and power efficiency is a detailed and lengthy task, involving many iterations. It can often take weeks or even months for expert human engineers. Attempts to fully automate the process have been unsuccessful.

However, researchers from Google have this week reported a new machine-learning approach to floorplanning. Not only does it reduce the design workload to a matter of hours, it also results in chips with superior designs.

New agricultural robots kill individual weeds with electricity

Using the full system, farmers could reduce costs by 40% and chemical usage by up to 95%.

Small Robot Company (SRC), a British agritech startup for sustainable farming, has developed AI-enabled robots – named Tom, Dick and Harry – that identify and kill individual weeds with electricity. These agricultural robots could reduce the use of harmful chemicals and heavy machinery, paving the way for a new approach to sustainable crop farming.

The startup has been working on automated weed killers since 2017, and this April officially launched Tom, the first commercial robot currently operating on three UK farms. Dick is still in the prototype phase, and Harry is still in development.

Small Robot company says the robot Tom is capable of scanning around 20 Hectares per day, collecting about six terabytes of data in an 8-hour shift to identify the crops, spots undesirable weeds – using “Wilma,” an artificial intelligence operating system. This data can then be sent to Dick – the world’s first non-chemical robotic weeding system that zaps individual weeds with electrical ‘lightning strikes.’ And finally, Harry plants seeds in the weed-free soil.

Across China, AI city brains are changing how the government runs

It is called the “city brain”, an artificial intelligence system that is now being used across China – only megacities could afford them before – for everything from pandemic contact tracing to monitoring illegal public assemblies and river pollution.

Authorities at all levels are now using AI for everything from pandemic control to monitoring illegal public assemblies.

Researchers create self-sustaining, intelligent, electronic microsystems from green material

A research team from the University of Massachusetts Amherst has created an electronic microsystem that can intelligently respond to information inputs without any external energy input, much like a self-autonomous living organism. The microsystem is constructed from a novel type of electronics that can process ultralow electronic signals and incorporates a device that can generate electricity “out of thin air” from the ambient environment.

The groundbreaking research was published June 7 in the journal Nature Communications.

Jun Yao, an assistant professor in the electrical and computer engineering (ECE) and an adjunct professor in biomedical engineering, led the research with his longtime collaborator, Derek R. Lovley, a Distinguished Professor in microbiology.

Nvidia acquires hi-def mapping startup DeepMap to bolster AV technology

Chipmaker Nvidia is acquiring DeepMap, the high-definition mapping startup announced. The company said its mapping IP will help Nvidia’s autonomous vehicle technology sector, Nvidia Drive.

“The acquisition is an endorsement of DeepMap’s unique vision, technology and people,” said Ali Kani, vice president and general manager of Automotive at Nvidia, in a statement. “DeepMap is expected to extend our mapping products, help us scale worldwide map operations and expand our full self-driving expertise.”

One of the biggest challenges to achieving full autonomy in a passenger vehicle is achieving proper localization and updated mapping information that reflects current road conditions. By integrating DeepMap’s tech, Nvidia’s autonomous stack should have greater precision, giving the vehicle enhanced abilities to locate itself on the road.

Tesla is now looking to hire self-driving car test drivers around the world

Do you want to work for Tesla remotely and test its latest Autopilot and Full Self-Driving features? You may be in luck as we learn that the automaker is now looking to hire self-driving car test drivers around the world.

You don’t even need a college education.

When it comes to Autopilot and Full Self-Driving package features, people often say that Tesla’s own paying customers are the testers and that’s mostly true, but the automaker also does plenty of internal testing.

Canadarm3 collision avoidance AI solutions sought as operational needs solidify

With launch just five years away, the Gateway Exploration Robotics System — better known as Canadarm3 — has arrived at a critical point where its artificial intelligence system must be properly calibrated to meet the rigorous autonomous demands the Lunar Gateway project will impose upon it.

The AI solutions sought for Canadarm3’s vision by MDA and the Canadian Space Agency (CSA) largely relate to obstacle avoidance to prevent the arm from bumping into other structures on the lunar outpost and how to work with issues like prolonged communications blackouts and less-than-optimal lighting conditions — both of which must be overcome for the Gateway.

Speaking at a recent industry day event, Chris Langley, AI Lead at MDA for Canadarm3, related some of the challenges posed to the project by the Gateway operations plan, including only one month per year of crewed occupation initially and as little as only 8 hours of communication each week.