Circa 2021 immortality of the pancreas by inducing pluripotent cells of the pancreas.
A microwell chip facilitates the single-cell characterization of the differentiation of aggregates of human induced pluripotent stem cells into pancreatic duct-like organoids and the discovery of secreted markers of pancreatic carcinogenesis.
A team of researchers in the Faculty of Engineering of The University of Hong Kong (HKU) has developed a coin-sized system that can read weak electrochemical signals and can be used for personalized health monitoring and the measurement of such conditions as diabetes, cardiovascular diseases and mental health. The discovery was featured on the cover of Analytical Chemistry.
The PERfECT System—an acronym for Personalized Electronic Reader for Electrochemical Transistors—is the world’s smallest system of its kind, measuring 1.5 cm x 1.5 cm x 0.2 cm and weighing only 0.4 gram. It is easily wearable, for instance integrated with a smartwatch or as a patch, to allow for continuous monitoring of biosignals such as glucose levels and antibody concentrations in blood and even sweat.
“Our wearable system is tiny, soft and imperceptible to wearers, and it can do continuous monitoring of our body condition. These features mean it has the potential to revolutionize health care technology,” said Dr. Shiming Zhang of the Department of Electrical and Electronic Engineering, who leads the HKU WISE (wearable, intelligent and soft electronics) Research Group to develop the system.
An international collaboration of scientists has created and observed an entirely new class of vortices—the whirling masses of fluid or air.
Led by researchers from Amherst College in the U.S. and the University of East Anglia and Lancaster University in the U.K., their new paper details the first laboratory studies of these “exotic” whirlpools in an ultracold gas of atoms at temperatures as low as tens of billionths of a degree above absolute zero.
The discovery, announced this week in the journal Nature Communications, may have exciting future implications for implementations of quantum information and computing.
A battle for mainstream GPUs could start later this year.
Intel has released 48 benchmarks that show its upcoming Arc A750 GPU should be able to trade blows with Nvidia’s RTX 3,060 running modern games. While Intel set its expectations low for its Arc GPUs last month, the company has now tested its A750 directly against the RTX 3,060 across 42 DirectX 12 titles and six Vulkan games.
The results look promising for what will likely be Intel’s mainstream GPU later this year. Intel has tested the A750 against popular games like Fortnite, Control, and Call of Duty: Warzone, instead of the cherry picked handful of benchmarks the company released last month.
“These are all titles that we picked because they’re popular,” explains Intel fellow Tom Petersen, in Intel’s benchmark video. “Either reviewers are using them or they’re high on the Steam survey, or new and exciting. These are not cherry picked titles.”
Wearable human-machine interface devices, HMIs, can be used to control machines, computers, music players, and other systems. A challenge for conventional HMIs is the presence of sweat on human skin.
In Applied Physics Reviews, scientists at UCLA describe their development of a type of HMI that is stretchable, inexpensive, and waterproof. The device is based on a soft magnetoelastic sensor array that converts mechanical pressure from the press of a finger into an electrical signal.
The device involves two main components. The first component is a layer that translates mechanical movement to a magnetic response. It consists of a set of micromagnets in a porous silicone matrix that can convert the gentle fingertip pressure into a magnetic field variation.
Over the past few decades, computers have seen dramatic progress in processing power; however, even the most advanced computers are relatively rudimentary in comparison with the complexities and capabilities of the human brain.
Researchers at the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory say this may be changing as they endeavor to design computers inspired by the human brain’s neural structure.
As part of a collaboration with Lehigh University, Army researchers have identified a design strategy for the development of neuromorphic materials.
Deep dive into the nature of consciousness and reality.
Sponsors: https://brilliant.org/TOE for 20% off. For Algo’s podcast https://www.youtube.com/channel/UC9IfRw1QaTglRoX0sN11AQQ and website https://www.algo.com/.
Patreon: https://patreon.com/curtjaimungal.
Crypto: https://tinyurl.com/cryptoTOE
PayPal: https://tinyurl.com/paypalTOE
Twitter: https://twitter.com/TOEwithCurt.
Discord Invite: https://discord.com/invite/kBcnfNVwqs.
iTunes: https://podcasts.apple.com/ca/podcast/better-left-unsaid-wit…1521758802
Pandora: https://pdora.co/33b9lfP
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Subreddit r/TheoriesOfEverything: https://reddit.com/r/theoriesofeverything.
Merch: https://tinyurl.com/TOEmerch.
LINKS MENTIONED:
–QBism Paper: https://arxiv.org/abs/1003.5209
–Donald Hoffman’s book The Case Against Reality (affiliate): https://amzn.to/34eWmxz.
–Plato and the Nerd (affiliate): https://amzn.to/34GMexr.
TIMESTAMPS:
00:00:00 Introduction.
00:03:34 Is a Theory of Everything possible? / Definition of Consciousness.
00:08:32 Spacetime’s fundamental nature (or not)
00:14:27 Joscha Bach on mysterianism, telepathy, and consciousness.
00:34:40 Joscha has a way of interpreting the Bible literally.
00:42:01 Physical world vs Computational world.
00:57:57 On Gödel and changing the definition of truth to provable / computable.
01:12:33 What parts of the mind makes statements beyond computation?
01:13:57 Real numbers don’t exist?
01:15:23 [Prof. Edward Lee] Reality is not necessarily algorithmic.
01:34:02 Donald Hoffman on Free Will.
01:44:03 Joscha Bach on Free Will and whether a TOE exists.
01:57:10 What would change in Bach’s model if classical logic was correct?
02:07:42 Penrose and Lucas argument regarding Gödel and the mind.
02:13:55 Closing thoughts from Bach and Hoffman on each other’s work.
Just wrapped (April 2021) a documentary called Better Left Unsaid http://betterleftunsaidfilm.com on the topic of “when does the left go too far?” Visit that site if you’d like to watch it.
Alex Martinelli writes:
This entry gives an introduction to and how you can use it via Blender to train performant and robust vision models. I provide the code and node-trees for a demonstrative visual classification scenario from the fashion domain. You’ll then be able to generate a technically infinite amount of images for your use-case.
Circa 2010 face_with_colon_three
http://www.ted.com Stephen Wolfram, creator of Mathematica, talks about his quest to make all knowledge computational — able to be searched, processed and manipulated. His new search engine, Wolfram Alpha, has no lesser goal than to model and explain the physics underlying the universe.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes. Featured speakers have included Al Gore on climate change, Philippe Starck on design, Jill Bolte Taylor on observing her own stroke, Nicholas Negroponte on One Laptop per Child, Jane Goodall on chimpanzees, Bill Gates on malaria and mosquitoes, Pattie Maes on the “Sixth Sense” wearable tech, and “Lost” producer JJ Abrams on the allure of mystery. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate. Watch a highlight reel of the Top 10 TEDTalks at http://www.ted.com/index.php/talks/top10
“We are aiming to provide capabilities in the tens to hundreds of milliwatts range, depending on the use case,” Makhijani said.
Compared to the first–gen chip GrAI One, the third–gen GrAI VIP is slightly physically smaller at 7.6 × 7.6 mm, but the company has skipped a process node and migrated to TSMC 12 nm. The chip has slightly fewer neuron cores, 144 compared to 196, but each core is bigger. The result is a jump from 200,000 neuron cores (250,000 parameters) to around 18 million neurons for a total of 48 million parameters. On–chip memory has jumped from 4 MB to 36 MB.
An M.2 hardware development kit featuring GrAI VIP is available now, shipping with GrAI Matter’s GrAI Flow software stack and model zoo for image classification, object detection, and image segmentation.
