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Between a supply chain full of holes, labor shortages across various sectors of the economy, and rising inflation, it’s shaping up to be a somewhat chaotic holiday season. Technology can’t fix all of these problems—or even most of them—but it can help get holiday shipments from point A to point B faster, cheaper, and without as many humans involved. Waymo’s partnership with UPS could mean some of your holiday gifts will be spending time in an autonomous truck on their way to you.

Waymo (which started out as the Google Self-Driving Car Project in 2009 and is still held by Alphabet, but raised $2.5 billion in its first outside funding round in March of 2020) first announced a partnership with UPS in January 2020, in which Waymo Driver was used to help move packages between UPS stores in Phoenix and the UPS hub in Tempe. Waymo’s Chrysler Pacifica minivans drove autonomously, but trained operators were on board to monitor the vehicles.

Last week the two companies announced an expansion of their existing partnership, saying they’ll start autonomous trial runs using Class 8 trucks equipped with the fifth-generation Waymo Driver. They’ll do deliveries for UPS’s North American Air Freight unit between facilities in Dallas-Fort Worth and Houston. Waymo’s initial route for its driverless cargo shipments also ran between Houston and Fort Worth, which the company said is one of the most highly utilized freight corridors in the country. The route is around 260 miles long, much of that a straight shot on Interstate 45.

AI chips, which are semiconductors designed to accelerate machine learning, have many applications. One of the promising use cases, according to Albert Liu, is using AI chips in autonomous driving vehicles.

That’s why Liu’s AI chipmaking startup Kneron has been quietly racking up investments to march into smart transportation. It recently closed a new round of $25 million funding led by Lite-On Technology, a Taiwanese optoelectronic pioneer, which was a strategic investor in the round. Other investors included Alltek, PalPilot, Sand Hill Angels and Gaingels.

The new proceeds lifted Kneron’s total funding to over $125 million since its inception in 2015. The San Diego-and Taipei-based company has assembled a list of renowned investors, including Hong Kong tycoon Li Ka-Shing’s Horizon Ventures, Alibaba, Qualcomm, Sequoia and Foxconn, the world’s largest electronics manufacturer and Apple’s supplier.

Tesla has started to release a new Full Self-Driving Beta software update (10.7) that improves the situation with “phantom braking” and even helps the FSD beta be more energy efficient.

For more than a year now, Tesla has been slowly rolling out what it is calling “Full Self-Driving Beta” (FSD Beta), which is an early version of its self-driving software that is currently being tested by a fleet of Tesla owners selected by the company and through its “safety test score.”

The software enables the vehicle to drive autonomously to a destination entered in the car’s navigation system, but the driver needs to remain vigilant and ready to take control at all times.

How close are we to having fully autonomous vehicles on the roads? Are they safe? In Chandler, Arizona a fleet of Waymo vehicles are already in operation. Waymo sponsored this video and provided access to their technology and personnel. Check out their safety report here: https://waymo.com/safety/

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References:

Waymo Safety Reports — https://waymo.com/safety/

Driving Statistics — https://ve42.co/DrivingStats.

One of the most important issues in contemporary societies is the impact of automation and intelligent technologies on human work. Concerns with the impact of mechanization on jobs and unemployment go back centuries, at least since the late 1,500 ’ s, when Queen Elizabeth I turned down William Lee ’ s patent applications for an automated knitting machine for stockings because of fears that it might turn human knitters into paupers. [2] In 1936, an automotive industry manager at General Motors named D.L. Harder coined the term “automation” to refer to the automatic operation of machines in a factory setting. Ten years later, when he was a Vice President at Ford Motor company, he established an “Automation Department” which led to widespread usage of the term. [3]

The origins of intelligent automation trace back to US and British advances in fire-control radar for operating anti-aircraft guns to defend against German V-1 rockets and aircraft during World War II. After the war, these advances motivated the MIT mathematician Norbert Weiner to develop the concept of “cybernetics”, a theory of machines and their potential based on feedback loops, self-stabilizing systems, and the ability to autonomously lean and adapt behavior. [4] In parallel, the Dartmouth Summer Research Project on Artificial Intelligence workshop was held in 1956 and is recognized as the founding event of artificial intelligence as a research field. [5]

Since that decade, workplace automation, cybernetic-inspired advanced feedback systems for both analogue and digital machines, and digital computing based artificial intelligence (together with the overall field of computer science) have advanced in parallel and co-mingled with one another. Additionally, opposing views of these developments have co-existed with one side highlighting the positive potential for more capable and intelligent machines to serve, benefit and elevate humanity, and the other side highlighting the negative possibilities and threats including mass unemployment, physical harm and loss of control. There has been a steady stream of studies from the 1950 ’ s to the present assessing the impacts of machine automation on the nature of work, jobs and employment, with each more recent study considering the capability enhancements of the newest generation of automated machines.

In aviation, any advancement in design must either reduce weight or the benefit has to be worth the extra weight. Researchers at the University of Bath seem to have achieved the perfect balance between the two by developing a way to reduce aircraft engine noise by up to 80% while adding almost no extra weight.

As Green Car Congress reports, the research team at the University of Bath developed a graphene oxide-polyvinyl alcohol aerogel, which only weighs 2.1kg (4.6lbs) per cubic meter and therefore makes it the lightest sound insulation ever manufactured.


Researchers developed a graphene aerogel that reduces engine noise to the same level as a hair dryer.

Exactly one month ago today, Elation Hypercars threw its hat into the ring and unveiled its first four-wheeled beast known as Freedom. The all-electric hypercar, which promises a staggering 1,400 horses and a 400-mile range, is due to be delivered in 2022 and now has its first prototype.


It was named after a hunting dog and is equally fierce.