Robots that can monitor conditions in a hive, do a waggle dance, or even infiltrate the queen’s court could help scientists influence the health of a colony.
One of the promising technologies being developed for next-generation augmented/virtual reality (AR/VR) systems is holographic image displays that use coherent light illumination to emulate the 3D optical waves representing, for example, the objects within a scene. These holographic image displays can potentially simplify the optical setup of a wearable display, leading to compact and lightweight form factors.
On the other hand, an ideal AR/VR experience requires relatively high-resolution images to be formed within a large field-of-view to match the resolution and the viewing angles of the human eye. However, the capabilities of holographic image projection systems are restricted mainly due to the limited number of independently controllable pixels in existing image projectors and spatial light modulators.
A recent study published in Science Advances reported a deep learning-designed transmissive material that can project super-resolved images using low-resolution image displays. In their paper titled “Super-resolution image display using diffractive decoders,” UCLA researchers, led by Professor Aydogan Ozcan, used deep learning to spatially-engineer transmissive diffractive layers at the wavelength scale, and created a material-based physical image decoder that achieves super-resolution image projection as the light is transmitted through its layers.
When trying to make a purchase with a shopping app, we may quickly browse the recommendation list while admitting that the machine does know about us—at least, it is learning to do so. As an effective emerging technology, machine learning (ML) has become pretty much pervasive with an application spectrum ranging from miscellaneous apps to supercomputing.
Dedicated ML computers are thus being developed at various scales, but their productivity is somewhat limited: the workload and development cost are largely concentrated in their software stacks, which need to be developed or reworked on an ad hoc basis to support every scaled model.
To solve the problem, researchers from the Chinese Academy of Sciences (CAS) proposed a fractal parallel computing model and published their research in Intelligent Computing on Sept. 5.
Session at AngelList Confidential 2022, featuring OpenAI CEO Sam Altman.
Professors, programmers and journalists could all be out of a job in just a few years, after the latest chatbot from the Elon Musk-founded OpenAI foundation stunned onlookers with its writing ability, proficiency at complex tasks, and ease of use.
The system, called ChatGPT, is the latest evolution of the GPT family of text-generating AIs. Two years ago, the team’s previous AI, GPT3, was able to generate an opinion piece for the Guardian, and ChatGPT has significant further capabilities.
Stephen Wolfram is at his jovial peak in this technical interview regarding the Wolfram Physics project (theory of everything).
Sponsors: https://brilliant.org/TOE for 20% off. http://algo.com for supply chain AI.
Link to the Wolfram project: https://www.wolframphysics.org/
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
Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e.
Subreddit r/TheoriesOfEverything: https://reddit.com/r/theoriesofeverything.
Merch: https://tinyurl.com/TOEmerch.
TIMESTAMPS:
00:00:00 Introduction.
00:02:26 Behind the scenes.
00:04:00 Wolfram critiques are from people who haven’t read the papers (generally)
00:10:39 The Wolfram Model (Theory of Everything) overview in under 20 minutes.
00:29:35 Causal graph vs. multiway graph.
00:39:42 Global confluence and causal invariance.
00:44:06 Rulial space.
00:49:05 How to build your own Theory of Everything.
00:54:00 Computational reducibility and irreducibility.
00:59:14 Speaking to aliens / communication with other life forms.
01:06:06 Extra-terrestrials could be all around us, and we’d never see it.
01:10:03 Is the universe conscious? What is “intelligence”?
01:13:03 Do photons experience time? (in the Wolfram model)
01:15:07 “Speed of light” in rulial space.
01:16:37 Principle of computational equivalence.
01:21:13 Irreducibility vs undecidability and computational equivalence.
01:23:47 Is infinity “real”?
01:28:08 Discrete vs continuous space.
01:33:40 Testing discrete space with the cosmic background radiation (CMB)
01:34:35 Multiple dimensions of time.
01:36:12 Defining “beauty” in mathematics, as geodesics in proof space.
01:37:29 Particles are “black holes” in branchial space.
01:39:44 New Feynman stories about his abjuring of woo woo.
01:43:52 Holographic principle / AdS CFT correspondence, and particles as black holes.
01:46:38 Wolfram’s view on cryptocurrencies, and how his company trades in crypto [Amjad Hussain]
01:57:38 Einstein field equations in economics.
02:03:04 How to revolutionize a field of study as a beginner.
02:04:50 Bonus section of Curt’s thoughts and questions.
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.
The artificial intelligence tool, known as FRAN, can make someone look a different age in five seconds.
Researchers at Disney have built an artificial intelligence tool that can make it easier for an actor to appear a different age on screen. Although digital artists can still make necessary modifications to make the effects in a scene look as realistic as possible, the artificial intelligence system can handle most of the aging effects.
Re-aging characters in films using AI
In movies and advertisements, it is costly to create photorealistic digital re-aging and requires artists to go through each scene arduously, frame-by-frame to manually change the character’s appearance and likeness.
Disney/WarnerMedia.
A new chatbot from the guys who brought us DALL-E has caused something of a Twitter storm with its amusing responses to users’ queries.
A recently released AI-powered chatbot called ChatGPT launched this week to a mixture of praise and concern. Developed by OpenAI, the chatbot can teach users various things, like setting up a website, but it has also allegedly proven problematic at the same time.
The chatbot was built from the ground up to be as natural as possible when talking to people in what is called “a conversational style.”