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Physicists produce symmetry-protected Majorana edge modes on quantum computer

Physicists at Google Quantum AI have used their quantum computer to study a type of effective particle that is more resilient to environmental disturbances that can degrade quantum calculations. These effective particles, known as Majorana edge modes, form as a result of a collective excitation of multiple individual particles, like ocean waves form from the collective motions of water molecules. Majorana edge modes are of particular interest in quantum computing applications because they exhibit special symmetries that can protect the otherwise fragile quantum states from noise in the environment.

The condensed matter physicist Philip Anderson once wrote, “It is only slightly overstating the case to say that physics is the study of symmetry.” Indeed, studying and their relationship to underlying symmetries has been the main thrust of physics for centuries. Symmetries are simply statements about what transformations a system can undergo—such as a translation, rotation, or inversion through a mirror—and remain unchanged. They can simplify problems and elucidate underlying physical laws. And, as shown in the new research, symmetries can even prevent the seemingly inexorable quantum process of decoherence.

When running a calculation on a quantum computer, we typically want the quantum bits, or “qubits,” in the computer to be in a single, pure quantum state. But decoherence occurs when external electric fields or other environmental disturb these states by jumbling them up with other states to create undesirable states. If a state has a certain symmetry, then it could be possible to isolate it, effectively creating an island of stability that is impossible to mix with the other states that don’t also have the special symmetry. In this way, since the noise can no longer connect the symmetric state to the others, it could preserve the coherence of the state.

[ML News] GPT-4 Rumors | AI Mind Reading | Neuron Interaction Solved | AI Theorem Proving

Your weekly news from the AI & Machine Learning world.

OUTLINE:
0:00 — Introduction.
0:25 — AI reads brain signals to predict what you’re thinking.
3:00 — Closed-form solution for neuron interactions.
4:15 — GPT-4 rumors.
6:50 — Cerebras supercomputer.
7:45 — Meta releases metagenomics atlas.
9:15 — AI advances in theorem proving.
10:40 — Better diffusion models with expert denoisers.
12:00 — BLOOMZ & mT0
13:05 — ICLR reviewers going mad.
21:40 — Scaling Transformer inference.
22:10 — Infinite nature flythrough generation.
23:55 — Blazing fast denoising.
24:45 — Large-scale AI training with MultiRay.
25:30 — arXiv to include Hugging Face spaces.
26:10 — Multilingual Diffusion.
26:30 — Music source separation.
26:50 — Multilingual CLIP
27:20 — Drug response prediction.
27:50 — Helpful Things.

ERRATA:
HF did not acquire spaces, they launched spaces themselves and supported Gradio from the start. They later acquired Gradio.

References:
AI reads brain signals to predict what you’re thinking.
https://mind-vis.github.io/?s=09&utm_source=pocket_saves.

Brain-Machine Interface Device Predicts Internal Speech

Closed-form solution for neuron interactions.

https://github.com/raminmh/CfC/blob/main/torch_cfc.py.

GPT-4 rumors.
https://thealgorithmicbridge.substack.com/p/gpt-4-rumors-fro…ket_reader.

Scientists link rare genetic phenomenon to neuron function, schizophrenia

In our cells, the language of DNA is written, making each of us unique. A tandem repeat occurs in DNA when a pattern of one or more nucleotides—the basic structural unit of DNA coded in the base of chemicals cytosine ©, adenine (A), guanine (G) and thymine (T)—is repeated multiple times in tandem. An example might be: CAG CAG CAG, in which the pattern CAG is repeated three times.

Now, using state-of-the-art whole-genome sequencing and machine learning techniques, the UNC School of Medicine lab of Jin Szatkiewicz, Ph.D., associate professor of genetics, and colleagues conducted one of the first and the largest investigations of repeats in , elucidating their contribution to the development of this devastating disease.

Published in the journal Molecular Psychiatry, the research shows that individuals with schizophrenia had a significantly higher rate of rare tandem repeats in their genomes—7% more than individuals without schizophrenia. And they observed that the tandem repeats were not randomly located throughout the genome; they were primarily found in genes crucial to brain function and known to be important in schizophrenia, according to previous studies.

‘Common Sense’ Test Could Lead to Smarter AI

The goal of achieving what is called artificial general intelligence — or the capacity of an engineered system to display human-like general intelligence — is still some time off into the future. Nevertheless, experts in the field of AI have no doubt accomplished some major milestones along the way, including developing AI capable of deep neural reasoning, tactile reasoning, and even AI with rudimentary social skills.

Now, in yet another step toward AI with more human-like intelligence, researchers from IBM, the Massachusetts Institute of Technology and Harvard University have developed a series of tests that would evaluate an AI’s ability to use a machine version of “common sense” — or a basic ability to perceive, understand, and judge in a manner that is shared by nearly all humans.

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Neura Pod is a series covering topics related to Neuralink, Inc. Topics such as brain-machine interfaces, brain injuries, and artificial intelligence will be explored. Host Ryan Tanaka synthesizes informationopinions, and conducts interviews to easily learn about Neuralink and its future.

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Amazon debuts a fully autonomous warehouse robot

You can’t discuss fulfillment robots without mentioning Amazon. Over the past decade, the retail juggernaut has become the 800-pound gorilla in the category, courtesy of several key acquisitions and seemingly endless resources. And while warehouse robotics and automation have been accelerated amid the pandemic and resulting employment crunch, Amazon Robotics has been driving these categories for years now.

This week at its annual Re: Mars conference in Las Vegas, the company celebrated a decade of its robotics division, which was effectively born with its acquisition of Kiva Systems. Over the course of its life, Amazon Robotics has deployed more than 520,000 robotic drive units, across its fulfillment and sort centers. From the outside, it’s been a tremendous success in the company’s push toward same-and next-day package delivery, and its driven the competition to look for their own third-party robotics solutions, bolstering startups like Locus, Fetch and Berkshire Grey.

Researchers improve water filter systems using AI

The team replicated different patterns of materials and found arrangements that would let water through more easily.

Artificial intelligence (AI) has been found to be useful in the creation of water filter materials and can quicken the process involved in making them, according to a study published today (Nov .30) in the journal ACS Central Science.


Creating a novel water purification system

From daily household faucet attachments to room-sized industrial systems, filter systems are used in a variety of items. However, it is difficult for current filtration membranes to filter water if the water is extremely dirty or has small, neutral molecules, such as boric acid, an insecticide used on crop plants.

San Francisco police to soon deploy robots that can kill

The organization says the machines would only be used in extreme situations where lives are at stake.

Supervisors in San Francisco voted Tuesday to allow city police to use potentially lethal remote-controlled robots in emergency situations, according to a report by Mission Local.

A dystopian future?


Onfokus/iStock.

The vote was eight for three against, with opponents saying the move would lead to the further dangerous and unwanted militarization of a police force already too aggressive with minorities.