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Nov 23, 2022
An optical chip that can train machine learning hardware
Posted by Dan Kummer in categories: robotics/AI, supercomputing
A multi-institution research team has developed an optical chip that can train machine learning hardware. Their research is published today in Optica.
Machine learning applications have skyrocketed to $165 billion annually, according to a recent report from McKinsey. But before a machine can perform intelligence tasks such as recognizing the details of an image, it must be trained. Training of modern-day artificial intelligence (AI) systems like Tesla’s autopilot costs several million dollars in electric power consumption and requires supercomputer-like infrastructure.
This surging AI “appetite” leaves an ever-widening gap between computer hardware and demand for AI. Photonic integrated circuits, or simply optical chips, have emerged as a possible solution to deliver higher computing performance, as measured by the number of operations performed per second per watt used, or TOPS/W. However, though they’ve demonstrated improved core operations in machine intelligence used for data classification, photonic chips have yet to improve the actual front-end learning and machine training process.
Nov 23, 2022
Integrated cognitive and physical fitness training enhances attention abilities in older adults
Posted by Saúl Morales Rodriguéz in category: neuroscience
Anguera, J.A., Volponi, J.J., Simon, A.J. et al. Integrated cognitive and physical fitness training enhances attention abilities in older adults. npj Aging 8, 12 (2022). https://doi.org/10.1038/s41514-022-00093-y.
Nov 23, 2022
Google has a secret new project that is teaching artificial intelligence to write and fix code. It could reduce the need for human engineers in the future
Posted by Dan Kummer in categories: futurism, robotics/AI
Alphabet’s X unit spun up a tool that teaches code to write itself. It has been moved into Google Labs, signaling its growing importance.
Nov 23, 2022
Artificial Intelligence & Robotics Tech News For October 2022
Posted by Dan Breeden in categories: cyborgs, drones, Elon Musk, information science, quantum physics, robotics/AI, supercomputing, transhumanism, virtual reality
https://www.youtube.com/watch?v=QrXnYHubFPc
Deep Learning AI Specialization: https://imp.i384100.net/GET-STARTED
AI News Timestamps:
0:00 New AI Robot Dog Beats Human Soccer Skills.
2:34 Breakthrough Humanoid Robotics & AI Tech.
5:21 Google AI Makes HD Video From Text.
8:41 New OpenAI DALL-E Robotics.
11:31 Elon Musk Reveals Tesla Optimus AI Robot.
16:49 Machine Learning Driven Exoskeleton.
19:33 Google AI Makes Video Game Objects From Text.
22:12 Breakthrough Tesla AI Supercomputer.
25:32 Underwater Drone Humanoid Robot.
29:19 Breakthrough Google AI Edits Images With Text.
31:43 New Deep Learning Tech With Light waves.
34:50 Nvidia General Robot Manipulation AI
36:31 Quantum Computer Breakthrough.
38:00 In-Vitro Neural Network Plays Video Games.
39:56 Google DeepMind AI Discovers New Matrices Algorithms.
45:07 New Meta Text To Video AI
48:00 Bionic Tech Feels In Virtual Reality.
53:06 Quantum Physics AI
56:40 Soft Robotics Gripper Learns.
58:13 New Google NLP Powered Robotics.
59:48 Ionic Chips For AI Neural Networks.
1:02:43 Machine Learning Interprets Brain Waves & Reads Mind.
Nov 23, 2022
Webb Telescope makes a stunning observation of the atmosphere of a hellish planet
Posted by Atanas Atanasov in category: space
Nov 23, 2022
What Meta’s Galactica missteps mean for GPT-4
Posted by Dan Kummer in category: robotics/AI
Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Watch now.
Like Rodin’s The Thinker, there was plenty of thinking and pondering about the large language model (LLM) landscape last week. There were Meta’s missteps over its Galactica LLM public demo and Stanford CRFM’s debut of its HELM benchmark, which followed weeks of tantalizing rumors about the possible release of OpenAI’s GPT-4 sometime over the next few months.
The online chatter ramped up last Tuesday. That’s when Meta AI and Papers With Code announced a new open-source LLM called Galactica, that it described in a paper published on Arxiv as “a large language model for science” meant to help scientists with “information overload.”
Nov 23, 2022
James Webb Space Telescope reveals an exoplanet atmosphere as never seen before
Posted by Dan Breeden in categories: chemistry, particle physics, space
The James Webb Space Telescope (JWST) has just scored another first: a detailed molecular and chemical portrait of a distant world’s skies.
The telescope’s array of highly sensitive instruments was trained on the atmosphere of a “hot Saturn”—a planet about as massive as Saturn orbiting a star some 700 light-years away—known as WASP-39 b. While JWST and other space telescopes, including Hubble and Spitzer, have previously revealed isolated ingredients of this broiling planet’s atmosphere, the new readings provide a full menu of atoms, molecules, and even signs of active chemistry and clouds.
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Nov 23, 2022
New quantum tool: Experimental realization of neutron helical waves
Posted by Paul Battista in categories: computing, quantum physics
For the first time in experimental history, researchers at the Institute for Quantum Computing (IQC) have created a device that generates twisted neutrons with well-defined orbital angular momentum. Previously considered an impossibility, this groundbreaking scientific accomplishment provides a brand new avenue for researchers to study the development of next-generation quantum materials with applications ranging from quantum computing to identifying and solving new problems in fundamental physics.
“Neutrons are a powerful probe for the characterization of emerging quantum materials because they have several unique features,” said Dr. Dusan Sarenac, research associate with IQC and technical lead, Transformative Quantum Technologies at the University of Waterloo. “They have nanometer-sized wavelengths, electrical neutrality, and a relatively large mass. These features mean neutrons can pass through materials that X-rays and light cannot.”
While methods for the experimental production and analysis of orbital angular momentum in photons and electrons are well-studied, a device design using neutrons has never been demonstrated until now. Because of their distinct characteristics, the researchers had to construct new devices and create novel methods for working with neutrons.
Nov 23, 2022
First ever 100 percent bio-based 3D-printed home unveiled
Posted by Gemechu Taye in categories: habitats, materials
The new type of home could address housing shortages.
On Monday, the University of Maine Advanced Structures and Composites Center (ASCC) unveiled the first 3D-printed house made entirely out of bio-based materials called BioHome3D, according to a press release by the institution.
Fully recyclable and highly insulated
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