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An autonomous vehicle is able to navigate city streets and other less-busy environments by recognizing pedestrians, other vehicles and potential obstacles through artificial intelligence. This is achieved with the help of artificial neural networks, which are trained to “see” the car’s surroundings, mimicking the human visual perception system.

But unlike humans, cars using have no memory of the past and are in a constant state of seeing the world for the first time—no matter how many times they’ve driven down a particular road before. This is particularly problematic in adverse weather conditions, when the car cannot safely rely on its sensors.

Researchers at the Cornell Ann S. Bowers College of Computing and Information Science and the College of Engineering have produced three concurrent research papers with the goal of overcoming this limitation by providing the car with the ability to create “memories” of previous experiences and use them in future navigation.

Neuro-Protection & Neuro-Regeneration R&D For Optic Pathologies — Dr. Thomas V. Johnson, MD, PhD, Johns Hopkins Medicine


Dr. Thomas V. Johnson III, M.D., Ph.D. (https://www.hopkinsmedicine.org/profiles/details/thomas-johnson) is a glaucoma specialist and the Allan and Shelley Holt Rising Professor in Ophthalmology at Wilmer Eye Institute, at Johns Hopkins University. He is also a member of the Retinal ganglion cell (RGC) Repopulation, Stem cell Transplantation, and Optic nerve Regeneration (RReSTORe) consortium (https://www.hopkinsmedicine.org/wilmer/research/storm/rrestore/index.html), an initiative focused on advancing translational development of vision restoration therapies for glaucoma and other primary optic neuropathies by assembling an international group of more than 100 leading and emerging investigators from related fields.

Dr. Johnson received his BA (summa cum laude) in Biological Sciences from Northwestern University in 2005. As a Gates-Cambridge Scholar and an NIH-OxCam Scholar, he earned his PhD in Clinical Neuroscience from the University of Cambridge (UK) in 2010. He completed his medical training (AOA) at the Johns Hopkins School of Medicine in 2014 and served as an intern on the Johns Hopkins Osler Medical Service prior to completing his ophthalmology residency and glaucoma fellowship at the Wilmer Eye Institute.

Artificial intelligence; it’s everywhere! Our homes, our cars, our schools and work. So where, if ever, does it stop? And how close to ourselves can our devices reasonably get? For this video, Unveiled uncovers plans to use human brain implants to improve the performance of our brains! What do you think? Are neural implants a good thing, or a bad thing?

This is Unveiled, giving you incredible answers to extraordinary questions!

Find more amazing videos for your curiosity here:
What If Humanity Was A Type III Civilisation? — https://www.youtube.com/watch?v=jcx_nKWZ4Uw.
Why the Microverse Might Be a Reality — https://www.youtube.com/watch?v=BF6n-bjYr7Y

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A new theory suggests that mutations have few straightforward ways to establish themselves in cells and cause tumors.

For many researchers, the road to cancer prevention is long and difficult, but a recent study by Rice University scientists suggests that there may be shortcuts.

A theoretical framework is being developed by Rice scientist Anatoly Kolomeisky, postdoctoral researcher Hamid Teimouri, and research assistant Cade Spaulding that will explain how cancers brought on by several genetic mutations might be more readily recognized and perhaps prevented.

Swedish truck manufacturer Volvo Trucks has unveiled a hydrogen fuel cell truck which the company claims will have a range of up to 1,000 kilometres and a refuelling time of less than 15 minutes.

The hydrogen fuel cell truck will join other zero-emission truck options already on offer, battery-electric trucks and trucks that run on renewable fuels such as biogas.

“We have been developing this technology for some years now, and it feels great to see the first trucks successfully running on the test track,” said Roger Alm, president of Volvo Trucks.

The autonomous robot will initially be deployed in the outbound GoCart handling areas of Amazon’s fulfillment and sort centers. “Our vision is to automate GoCart handling throughout the network, which will help reduce the need for people to manually move heavy objects through our facility and instead let them focus on more rewarding work,” the company said.

Celebrating 10 years of robotic evolution, Amazon unveiled several more automated systems. Cardinal (Opens in a new window) is an AI-based robot arm that can select one package out of a pile of boxes, lift it, read the label, and place it on the appropriate GoCart (for Proteus to collect). Amazon is currently trialing a Cardinal prototype for handling packages up to 50 pounds and expects to deploy the technology in fulfillment centers next year.