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Jan 21, 2023

Harnessing the healing power within our cells

Posted by in categories: biotech/medical, futurism

University of Queensland researchers have identified a pathway in cells that could be used to reprogram the body’s immune system to fight back against both chronic inflammatory and infectious diseases.

Dr. Kaustav Das Gupta and Professor Matt Sweet from UQ’s Institute for Molecular Bioscience discovered that a molecule derived from glucose in can both stop bacteria growing and dampen . Dr. Das Gupta said that the finding is a critical step towards future therapeutics that train immune cells.

The research was published in Proceedings of the National Academy of Sciences (PNAS).

Jan 21, 2023

Inside the Lab: Taking Atlas From Sim to Scaffold

Posted by in categories: biotech/medical, robotics/AI

See the people building up Atlas.


How does Atlas recognize and interact with objects? How do we develop new Atlas behaviors? Why is manipulation important for the future of robotics?

Continue reading “Inside the Lab: Taking Atlas From Sim to Scaffold” »

Jan 21, 2023

Promising Parkinson’s Disease Treatment Candidate Identified in Mouse Study

Posted by in categories: biotech/medical, health, neuroscience

A new study has identified a promising drug candidate that can protect neurons from degeneration in mouse models of Parkinson’s disease. The research is published in Science Translational Medicine.

Addressing an unmet need

Parkinson’s disease (PD) is the second most common neurodegenerative disease, and over the last 25 years, the prevalence of PD has doubled, presenting a large health burden across the globe.

Jan 21, 2023

ChatGPT Accepted As Co-Author On Multiple Research Papers

Posted by in category: robotics/AI

The artificial intelligence (AI) chatbot ChatGPT that has taken the world by storm has made its formal debut in the scientific literature, pulling up at least four authorship credits on published papers and preprints.

Editors, researchers, and publishers are currently debating whether such AI tools should be included in published literature and whether the bot should be cited as an author. Publishers are thinking of policies to be created for chatbots like chatgpt.

Research publications and preprint servers stated that AIs like ChatGPT don’t meet the criteria for study authors. They cannot assume responsibility for scientific papers. Some publishers claim that an AI’s contributions to writing papers can be recognized in sections other than those on the author list.

Jan 21, 2023

Scientists Build a Teeny Tiny Tractor Beam

Posted by in categories: energy, engineering, tractor beam

Tractor beams make intuitive sense. Matter and energy interact with each other in countless ways throughout the Universe. Magnetism and gravity are both natural forces that can draw objects together, so there’s sort of a precedent.

But engineering an actual tractor beam is something different.

Jan 21, 2023

Luwu Dynamics

Posted by in categories: information science, robotics/AI

Luwu Dynamics products are quadruped robot dogs with 12 degrees of freedom. They are used for teenagers to learn Artificial Intelligence Programming. They can realize omni-directional movement, six-dimensional attitude control, attitude stability and a variety of motion gait. They are internally equipped with 9-axis IMU, joint position sensor and current sensor to feed back their own attitude, joint angle and torque for internal algorithm and secondary development, It can off-line AI functions such as face recognition, image classification, gesture recognition, speech recognition, audio analysis and target tracking, and supports cross platform graphical and python programming.

luwu

Jan 21, 2023

Guest Post — AI and Scholarly Publishing: A View from Three Experts

Posted by in category: robotics/AI

An interesting interview conducted at a conference workshop with 3 experts discussing what is AI and how it is impacting the world of scientific publishing.


A recap of a recent SSP webinar on artificial intelligence (AI) and scholarly publishing. How can this set of technologies help or harm scholarly publishing, and what are some current trends? What are the risks of AI, and what should we look out for?

Jan 21, 2023

Dark Horse AI Gets Passing Grade in Law Exam

Posted by in categories: economics, law, robotics/AI

An artificial intelligence dubbed Claude, developed by AI research firm Anthropic, got a “marginal pass” on a recent blindly graded law and economics exam at George Mason University, according to a recent blog post by economics professor Alex Tabarrok.

It’s yet another warning shot that AI is experiencing a moment of explosive growth in capability — and it’s not just OpenAI’s ChatGPT that we have to worry about.

Anthropic — which according to Insider secured funding from disgraced crypto exec Sam Bankman-Fried and his alleged romantic partner, former Alameda Research CEO Caroline Ellison — made a big splash with its new AI earlier this week.

Jan 21, 2023

AI Passes U.S. Medical Licensing Exam

Posted by in categories: biotech/medical, robotics/AI

— Two papers show that large language models, including ChatGPT, can pass the USMLE.

Jan 21, 2023

Approaching optimal entangling collective measurements on quantum computing platforms Physics

Posted by in categories: biological, chemistry, computing, quantum physics

Quantum-enhanced single-parameter estimation is an established capability, with non-classical probe states achieving precisions beyond what can be reached by the equivalent classical resources in photonic1,2,3, trapped-ion4,5, superconducting6 and atomic7,8 systems. This has paved the way for quantum enhancements in practical sensing applications, from gravitational wave detection9 to biological imaging10. For single-parameter estimation, entangled probe states are sufficient to reach the ultimate allowed precisions. However, for multi-parameter estimation, owing to the possible incompatibility of different observables, entangling resources are also required at the measurement stage. The ultimate attainable limits in quantum multi-parameter estimation are set by the Holevo Cramér–Rao bound (Holevo bound)11,12. In most practical scenarios, it is not feasible to reach the Holevo bound as this requires a collective measurement on infinitely many copies of the quantum state13,14,15,16 (see Methods for a rigorous definition of collective measurements). Nevertheless, it is important to develop techniques that will enable the Holevo bound to be approached, given that multi-parameter estimation is fundamentally connected to the uncertainty principle17 and has many physically motivated applications, including simultaneously estimating phase and phase diffusion18,19, quantum super-resolution20,21, estimating the components of a three-dimensional field22,23 and tracking chemical processes24. Furthermore, as we demonstrate, collective measurements offer an avenue to quantum-enhanced sensing even in the presence of large amounts of decoherence, unlike the use of entangled probe states25,26.

To date, collective measurements for quantum multi-parameter metrology have been demonstrated exclusively on optical systems27,28,29,30,31,32. Contemporary approaches to collective measurements on optical systems are limited in their scalability: that is, it is difficult to generalize present approaches to measuring many copies of a quantum state simultaneously. The limited gate set available can also make it harder to implement an arbitrary optimal measurement. Indeed, the collective measurements demonstrated so far have all been restricted to measuring two copies of the quantum state and, while quantum enhancement has been observed, have all failed to reach the ultimate theoretical limits on separable measurements33,34. Thus, there is a pressing need for a more versatile and scalable approach to implementing collective measurements.

In this work, we design and implement theoretically optimal collective measurement circuits on superconducting and trapped-ion platforms. The ease with which these devices can be reprogrammed, the universal gate set available and the number of modes across which entanglement can be generated, ensure that they avoid many of the issues that current optical systems suffer from. Using recently developed error mitigation techniques35 we estimate qubit rotations about the axes of the Bloch sphere with a greater precision than what is allowed by separable measurements on individual qubits. This approach allows us to investigate several interesting physical phenomena: we demonstrate both optimal single-and two-copy collective measurements reaching the theoretical limits33,34. We also implement a three-copy collective measurement as a first step towards surpassing two-copy measurements. However, due to the circuit complexity, this measurement performs worse than single-copy measurements. We investigate the connection between collective measurements and the uncertainty principle. Using two-copy collective measurements, we experimentally violate a metrological bound based on known, but restrictive uncertainty relations36. Finally, we compare the metrological performance of quantum processors from different platforms, providing an indication of how future quantum metrology networks may look.