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Meet Kevin Talks Neuralink and Tesla

@Meet Kevin is a 30-year-old dad and financial analyst. He’s amassed a following of nearly 2 million subscribers on YouTube with his large library of financial content. He recently ran for California governor and owns a lot of Tesla stock.

Meet Kevin’s YouTube: https://www.youtube.com/@MeetKevin.

Neura Pod is a series covering topics related to Neuralink, Inc. Topics such as brain-machine interfaces, brain injuries, and artificial intelligence will be explored. Host Ryan Tanaka synthesizes informationopinions, and conducts interviews to easily learn about Neuralink and its future.

Twitter: https://www.twitter.com/ryantanaka3/

Support: https://www.patreon.com/neurapod/

Please consider supporting by joining the channel above, or sharing my other company website with retirees: https://www.reterns.com/. Opinions are my own. Neura Pod receives no compensation from Neuralink and has no affiliation to the company.

Amazon debuts a fully autonomous warehouse robot

You can’t discuss fulfillment robots without mentioning Amazon. Over the past decade, the retail juggernaut has become the 800-pound gorilla in the category, courtesy of several key acquisitions and seemingly endless resources. And while warehouse robotics and automation have been accelerated amid the pandemic and resulting employment crunch, Amazon Robotics has been driving these categories for years now.

This week at its annual Re: Mars conference in Las Vegas, the company celebrated a decade of its robotics division, which was effectively born with its acquisition of Kiva Systems. Over the course of its life, Amazon Robotics has deployed more than 520,000 robotic drive units, across its fulfillment and sort centers. From the outside, it’s been a tremendous success in the company’s push toward same-and next-day package delivery, and its driven the competition to look for their own third-party robotics solutions, bolstering startups like Locus, Fetch and Berkshire Grey.

Researchers improve water filter systems using AI

The team replicated different patterns of materials and found arrangements that would let water through more easily.

Artificial intelligence (AI) has been found to be useful in the creation of water filter materials and can quicken the process involved in making them, according to a study published today (Nov .30) in the journal ACS Central Science.


Creating a novel water purification system

From daily household faucet attachments to room-sized industrial systems, filter systems are used in a variety of items. However, it is difficult for current filtration membranes to filter water if the water is extremely dirty or has small, neutral molecules, such as boric acid, an insecticide used on crop plants.

San Francisco police to soon deploy robots that can kill

The organization says the machines would only be used in extreme situations where lives are at stake.

Supervisors in San Francisco voted Tuesday to allow city police to use potentially lethal remote-controlled robots in emergency situations, according to a report by Mission Local.

A dystopian future?


Onfokus/iStock.

The vote was eight for three against, with opponents saying the move would lead to the further dangerous and unwanted militarization of a police force already too aggressive with minorities.

Researchers use AI to assess patients’ vocals after surgery on the larynx

Artificial intelligence would be used to detect changes in the vocals of each patient after a laryngectomy.

Researchers from Kaunas University of Technology Faculty of Informatics (KTU IF) and Lithuanian University of Health Sciences (LSMU) in Lithuania have created a new substitute voice evaluation index that can detect pathologies in patients’ voices more quickly and efficiently. Voice pathologies include a variety of disorders such as growths on the vocal cords, spasms, swelling or paralysis in the vocal cords.

AI could be used to determine changes in voice after laryngectomy.

Laryngectomy is a surgery that requires the removal of the larynx.


Simarik/iStock.

“For some, the voice changes only slightly, while for others, it can be a life-changing situation. Imagine calling someone on the phone, emergency services, police, etc. – and the one you’re calling does not understand anything. Or even not hear you – as the phone’s noise removal system will cut it out,” said Dr. Rytis Maskeliunas, professor with the Department of Multimedia Engineering, Faculty of Informatics and chief researcher at Kaunas University of Technology Faculty of Informatics.

Google licenses its AI tool for breast cancer screening to a medical firm

It is the first ever commercial partnership between Google Health and the medical company iCAD.

Google recently announced that it licensed its AI research prototype to a medical company called iCAD. The AI research model can be used for breast cancer screening. iCAD is a company that creates innovative medical equipment for cancer detection.

ICAD made the announcement about the collaboration yesterday, Nov. 28, on its website.

It is the first time ever that Google Health has licensed this specific artificial intelligence technology in a commercial partnership for breast cancer screening and personalized risk assessment of the disease, to iCAD.


ChooChin/iStock iCAD made the announcement about the collaboration yesterday, Nov. 28, on its website.

Spot the Dog: The robotic dog busy delivering data on dangerous construction sites for Balfour Beatty

Interesting Engineering sighted ‘Spot the Dog’ with construction group Balfour Beatty. Naturally, we had a chat with one of their technicians.

‘Spot the dog,’ Balfour Beatty’s first robotic employee, was sighted by Interesting Engineering (IE) at the ‘Brooklands Science Summer School event’ yesterday (Nov. 29).

Spot delivers CAT designs for derelict buildings and nuclear power plants.


Sade Agard.

IE spoke with Jay Saddington, one of the company’s personnel, to learn more about Spot’s activities and what it’s like to take care of it.

Breaking the scaling limits of analog computing

Caption :

MIT researchers have developed a technique that greatly reduces the error in an optical neural network, which uses light to process data instead of electrical signals. With their technique, the larger an optical neural network becomes, the lower the error in its computations. This could enable them to scale these devices up so they would be large enough for commercial uses.

Images for download on the MIT News office website are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license. You may not alter the images provided, other than to crop them to size. A credit line must be used when reproducing images; if one is not provided below, credit the images to “MIT.”

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