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Without GPS, autonomous systems get lost easily. Now a new algorithm developed at Caltech allows autonomous systems to recognize where they are simply by looking at the terrain around them—and for the first time, the technology works regardless of seasonal changes to that terrain.

Details about the process were published on June 23 in the journal Science Robotics.

The general process, known as visual terrain-relative navigation (VTRN), was first developed in the 1960s. By comparing nearby terrain to high-resolution satellite images, can locate themselves.

If you walk down the street shouting out the names of every object you see — garbage truck! bicyclist! sycamore tree! — most people would not conclude you are smart. But if you go through an obstacle course, and you show them how to navigate a series of challenges to get to the end unscathed, they would.

Most machine learning algorithms are shouting names in the street. They perform perceptive tasks that a person can do in under a second. But another kind of AI — deep reinforcement learning — is strategic. It learns how to take a series of actions in order to reach a goal. That’s powerful and smart — and it’s going to change a lot of industries.

Two industries on the cusp of AI transformations are manufacturing and supply chain. The ways we make and ship stuff are heavily dependent on groups of machines working together, and the efficiency and resiliency of those machines are the foundation of our economy and society. Without them, we can’t buy the basics we need to live and work.

The airless tire isn’t a new concept.
Michelin first introduced its idea for one called.
the Tweel over decade ago, and it started selling.
production versions for small lawn and construction equipment a few years back. But what.

Is new about the tech is its use for actual production cars, and that’s where this new Michelin Uptis tire comes in. The Uptis is designed to handle not just the weight of a real car like the old Tweel, but also be able to provide proper grip and durability at highway speeds, too.

Though the design is now more capable, the Uptis airless tire still uses the same basic idea as the Tweel. Sandwiched between the outer tread and the inner aluminum wheel are a bunch of spokes or ribs that substitute air pressure. These spokes are made of a combination of rubber and fiberglass reinforced resin.

Michelin Uptis

I think there is actually a company that makes something similar to this.


The self-balancing bike is a reminder of the incredibly creative projects that students and young recently graduated engineers can come up with — another recent example is an all-electric monowheel built by a group of Duke University students.

In principle, Zhi Jui Jun’s self-balancing bike should work with someone riding it as well, though no one is shown riding it in Jui Jun’s video — the bicycle steering and keeping balance with the added top-heavy weight of a person would be a sight to behold. Stay posted for updates on any “piloted” tests in the future.

The U.S. Navy successfully conducted its first-ever aerial refueling between a manned aircraft and an unmanned tanker. The unmanned tanker was being flown from the ground control station.

The Illinois-based mission lasted about four and a half hours and validated that an unmanned tanker could successfully use the Navy’s standard probe-and-drogue aerial refueling method.

| by KSNV NEWS 3, LAS VEGAS.


RENO (AP) — A battery recycling company founded by a former executive at Tesla Inc. broke ground on 100 acres (40 hectares) of land at an industrial park near Reno as part of its expansion plan.

Redwood Materials, which was founded in Nevada in 2017, is expecting its operations to continue growing with a boost in used battery packs from older electric vehicles, the Reno-Gazette Journal reported.

As a result, the company plans to expand its facilities and increase its workforce from just over 100 employees to more than 600 in the next couple of years. In addition to the acquisition at the Tahoe-Reno Industrial Center, the company is also undertaking a major project in Carson City to expand its 150000-square-foot facility (13935-square-meter) to 550000 square feet (51000 square meters) within the next two years.

Taiwan Semiconductor Manufacturing Co. ’s chips are everywhere, though most consumers don’t know it.

The company makes almost all of the world’s most sophisticated chips, and many of the simpler ones, too. They’re in billions of products with built-in electronics, including iPhones, personal computers and cars—all without any obvious sign they came from TSMC, which does the manufacturing for better-known companies that design them, like Apple Inc. and Qualcomm Inc.

TSMC has emerged over the past several years as the world’s most important semiconductor company, with enormous influence over the global economy. With a market cap of around $550 billion, it ranks as the world’s 11th most valuable company.

But now a spy swims among them: Mesobot. Today in the journal Science Robotics, a team of engineers and oceanographers describes how they got a new autonomous underwater vehicle to lock onto movements of organisms and follow them around the ocean’s “twilight zone,” a chronically understudied band between 650 feet and 3200 feet deep, which scientists also refer to as mid-water. Thanks to some clever engineering, the researchers did so without flustering these highly sensitive animals, making Mesobot a groundbreaking new tool for oceanographers.

“It’s super cool from an engineering standpoint,” says Northeastern University roboticist Hanumant Singh, who develops ocean robots but wasn’t involved in this research. “It’s really an amazing piece of work, in terms of looking at an area that’s unexplored in the ocean.”

Mesobot looks like a giant yellow-and-black AirPods case, only it’s rather more waterproof and weighs 550 pounds. It can operate with a fiber-optic tether attached to a research vessel at the surface, or it can swim around freely.