Toggle light / dark theme

It’s my firm belief that the AI revolution we’ve all been so excited about simply has not happened yet. In the next two to three years however, as the hardware that enables “real” AI power makes its way into more and more hands, it will happen. As far as predicting the change and disruption that will come from widespread access to the upper echelons of powerful ML and AI — there are few ways to make confident predictions, but that is exactly the point!

Much like cellphones put so much power in the hands of regular people everywhere, with no barriers to entry either technical or financial (for the most part), so will the coming wave of software-defined hardware that is flexible, customizable and future-proof. The possibilities are truly endless, and it will mark an important turning point in technology. The ripple effects of AI democratization and commoditization will not stop with just technology companies, and so even more fields stand to be blown open as advanced, high-powered AI becomes accessible and affordable.

Much of the hype around AI — all the disruption it was supposed to bring and the leaps it was supposed to fuel — will begin in earnest in the next few years. The technology that will power it is being built as we speak or soon to be in the hands of the many people in the many industries who will use their newfound access as a springboard to some truly amazing advances. We’re especially excited to be a part of this future, and look forward to all the progress it will bring.

We take a deep and necessary dive into the topics of robotics, transhumanism, singularity, and other apocalyptic tech – all to prepare for the endgame moves of the elite and their Breakaway Civilization. To win this game of digital thrones, we must tap into the myth and Gnosis of an ancient trickster egregore named Prometheus. We must steal fire from the gods before they burn civilization down very soon.

Astral Guest – Jason Reza Jorjani, author of Prometheism.

This is a partial show for nonmembers. For the second half of the interview, please become a member: http://thegodabovegod.com/members/subscription-levels/ or patron at Patreon: https://www.patreon.com/aeonbyte.

More information on Jason: https://jasonrezajorjani.com/

Get the book: https://amzn.to/32AWkfR

Download these and all other shows: http://thegodabovegod.com/

This Week in Engineering is multi-segment show that explores the latest innovations and tech trends across many engineering disciplines from academic institutions, government agencies and industry.

EPISODE SEGMENTS:
0:14 GM Unveils Massive Investment in EV’s.
2:30 UK’s Kar-go Autonomous Delivery Vehicle.

* * *
ENGINEERING.COM TV:
This episode is brought to you by engineering.com, a globally trusted source for engineering content. Watch in-depth engineering videos made for the engineering professional and found exclusively on engineering.com/TV:
For the Manufacturing Engineer: https://bit.ly/3nTLysU
For the Design Engineer: https://bit.ly/398SNJf.

* * *
SUBSCRIBE TO OUR NEWSLETTERS:
Join the engineering.com community and subscribe to a selection of newsletters in the field of engineering of you’re interested in. Get the latest news, developments, research reports, white papers, videos and industry webinars:
https://bit.ly/2Hvcyz8

* * *
Read more about the topics discussed in this video on engineering.com:

Kar-go Autonomous Vehicle Begins Contactless Delivery to Care Homes:
https://bit.ly/3qqEo17

Understanding how matter interacts with light—its optical properties—is critical in a myriad of energy and biomedical technologies, such as targeted drug delivery, quantum dots, fuel combustion, and cracking of biomass. But calculating these properties is computationally intensive, and the inverse problem—designing a structure with desired optical properties—is even harder.

Now Berkeley Lab scientists have developed a machine learning model that can be used for both problems—calculating of a known structure and, inversely, designing a structure with desired optical properties. Their study was published in Cell Reports Physical Science.

“Our model performs bi-directionally with high accuracy and its interpretation qualitatively recovers physics of how metal and dielectric materials interact with light,” said corresponding author Sean Lubner.

Longevity biotech firm BioAge Labs is readying itself for clinical trials after raising a whopping $90 million Series C funding round. The company revealed it will be moving its lead platform-derived therapies, BGE-117 and BGE-175, into Phase 2 clinical trials in the first half of 2021.

Longevity. Technology: As the developer of an AI platform that maps the molecular pathways impacting human Longevity, we’ve followed developments at BioAge with great interest. With two compounds ready to enter the clinic next year, and more on the way, this company is fast-becoming one of Longevity’s most exciting prospects.

The new funds will be used to develop BioAge’s portfolio of therapies for increasing healthspan and lifespan, as well as to augment its AI platform, and further expand its capabilities to test drug candidates in predictive models of human diseases of aging.

The world has been inching toward fully autonomous cars for years. In China, one company just got even closer to making it a reality.

On Thursday, AutoX, an Alibaba (BABA)-backed startup, announced it had rolled out fully driverless robotaxis on public roads in Shenzhen. The company said it had become the first player in China to do so, notching an important industry milestone.

Previously, companies operating autonomous shuttles on public roads in the country were constrained by strict caveats, which required them to have a safety driver inside.