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Scientists and roboticists have long looked at nature for inspiration to develop new features for machines. In this case, researchers from Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland were inspired by bats and other animals that rely on echolocation to design a method that would give small robots that ability to navigate themselves — one that doesn’t need expensive hardware or components too large or too heavy for tiny machines. In fact, according to PopSci, the team only used the integrated audio hardware of an interactive puck robot and built an audio extension deck using cheap mic and speakers for a tiny flying drone that can fit in the palm of your hand.

The system works just like bat echolocation. It was designed to emit sounds across frequencies, which a robot’s microphone then picks up as they bounce off walls. An algorithm the team created then goes to work to analyze sound waves and create a map with the room’s dimensions.

In a paper published in IEEE Robotics and Automation Letters, the researchers said existing “algorithms for active echolocation are less developed and often rely on hardware requirements that are out of reach for small robots.” They also said their “method is model-based, runs in real time and requires no prior calibration or training.” Their solution could give small machines the capability to be sent on search-and-rescue missions or to previously uncharted locations that bigger robots wouldn’t be able to reach. And since the system only needs onboard audio equipment or cheap additional hardware, it has a wide range of potential applications.

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Google said Monday it will release a conversational chatbot named Bard, setting up an artificial intelligence showdown with Microsoft which has invested billions in the creators of ChatGPT, the hugely popular language app that convincingly mimics human writing.

ChatGPT, created by San Francisco company OpenAI, has caused a sensation for its ability to write essays, poems or programming code on demand within seconds, sparking widespread fears of cheating or of entire professions becoming obsolete.

Microsoft announced last month that it was backing OpenAI and has begun to integrate ChatGPT features into its Teams platform, with expectations that it will adapt the app to its Office suite and Bing search engine.

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Engineers at the University of Waterloo have developed artificial intelligence (AI) technology to predict if women with breast cancer would benefit from chemotherapy prior to surgery.

The new AI algorithm, part of the open-source Cancer-Net initiative led by Dr. Alexander Wong, could help unsuitable candidates avoid the serious side effects of chemotherapy and pave the way for better surgical outcomes for those who are suitable.

“Determining the right treatment for a given breast cancer patient is very difficult right now, and it is crucial to avoid unnecessary side effects from using treatments that are unlikely to have real benefit for that patient,” said Wong, a professor of systems design engineering.

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Advancing Geroscience & Gerotherapeutics — Dr. Nir Barzilai, MD, Albert Einstein College of Medicine.

Dr. Nir Barzilai, MD (https://www.einsteinmed.edu/faculty/484/nir-barzilai/) is the Director of the Institute for Aging Research at the Albert Einstein College of Medicine and the Director of the Paul F. Glenn Center for the Biology of Human Aging Research and of the National Institutes of Health’s (NIH) Nathan Shock Centers of Excellence in the Basic Biology of Aging. He is the Ingeborg and Ira Leon Rennert Chair of Aging Research, professor in the Departments of Medicine and Genetics, and member of the Diabetes Research Center and of the Divisions of Endocrinology & Diabetes and Geriatrics.

Dr. Barzilai’s research interests are in the biology and genetics of aging, with one focus of his team on the genetics of exceptional longevity, where they hypothesize and demonstrate that centenarians (those aged 100 and above) may have novel protective genes, which allow the delay of aging or for the protection against age-related diseases. The second focus of his work, for which Dr. Barzilai holds an NIH Merit award, is on the metabolic decline that occurs during aging, and his team hypothesizes that the brain leads this decline with some very interesting neuro-endocrine connections.

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Monica P. Medina (https://www.state.gov/biographies/monica-p-medina/) is Assistant Secretary for the Bureau of Oceans and International Environmental and Scientific Affairs at the U.S. Department of State. She was also recently appointed as United States Special Envoy for Biodiversity and Water Resources.

Previously, Secretary Medina was an adjunct professor at Georgetown University’s School of Foreign Service. She was also a Senior Associate on the Stephenson Ocean Security Project at the Center for Strategic and International Studies, and Co-Founder and Publisher of Our Daily Planet, an e-newsletter on conservation and the environment.

A former Principal Deputy Under Secretary of Commerce for Oceans and Atmosphere, Secretary Medina served as General Counsel of the National Oceanic and Atmospheric Administration (NOAA), and Special Assistant to the Secretary of Defense. Earlier in her career, Secretary Medina served as the Senior Counsel to former Senator Max Baucus on the Senate Environment and Public Works Committee, as the Senior Director for Ocean Policy at the National Geographic Society, as the ocean lead at the Walton Family Foundation, and in senior roles in other environmental organizations.

Secretary Medina attended college on an Army R.O.T.C. scholarship and began her career on active duty in the Army General Counsel’s Office. She received the Department of Defense Medal for Distinguished Public Service and the Army Meritorious Service Medal. She has a Bachelor’s degree in history from Georgetown University and a J.D. from Columbia Law School.

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Scientists have discovered a new layer of partly molten rock under the Earth’s crust that might help settle a long-standing debate about how tectonic plates move.

Researchers had previously identified patches of melt at a similar depth. But a new study led by The University of Texas at Austin revealed for the first time the layer’s global extent and its part in plate tectonics.

The research was published Feb. 6, 2023, in the journal Nature Geoscience.

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Architectures based on artificial neural networks (ANNs) have proved to be very helpful in research settings, as they can quickly analyze vast amounts of data and make accurate predictions. In 2020, Google’s British AI subsidiary DeepMind used a new ANN architecture dubbed the Fermionic neural network (FermiNet) to solve the Schrodinger equation for electrons in molecules, a central problem in the field of chemistry.

The Schroedinger is a partial differential equation based on well-established theory of energy conservation, which can be used to derive information about the behavior of electrons and solve problems related to the properties of matter. Using FermiNet, which is a conceptually simple method, DeepMind could solve this equation in the context of chemistry, attaining very accurate results that were comparable to those obtained using highly sophisticated quantum chemistry techniques.

Researchers at Imperial College London, DeepMind, Lancaster University, and University of Oxford recently adapted the FermiNet architecture to tackle a quantum physics problem. In their paper, published in Physical Review Letters, they specifically used FermiNet to calculate the ground states of periodic Hamiltonians and study the homogenous electron gas (HEG), a simplified quantum mechanical model of electrons interacting in solids.

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Over eighty years ago, Rabi oscillations were proposed to describe the strong coupling and population transfer in a two-level quantum system exposed to an oscillatory driving field. As compared to atoms, molecules have an extra degree of vibration, which adds an additional knob to the Rabi oscillations in light-molecule interactions. However, how such a laser-driven Rabi oscillation during the stretching of molecular bonds determines the kinetic energy release (KER) spectrum of dissociative fragments is still an open question.

In a new article published in Light: Science & Applications, a joint team of scientists, led by Professor Feng He from Shanghai Jiao Tong University and Professor Jian Wu from East China Normal University has investigated Rabi oscillations in a stretching molecule and discovered the strong-field-induced dissociation dynamics beyond the well-accepted resonant one-photon dissociation scenario. During the dissociation of the simplest molecular ion of H2+, coupled with the laser field, the electron hops between the 1sσg and 2pσu states, forming the Rabi oscillations.

The ionization-created nuclear wave packet (NWP) may propagate alternatively along the two potential energy curves towards a larger internuclear distance monotonically, termed as the rolling process, or may propagate outwards along the 2pσu curve followed by the inward propagation in the 1sσg curve and then be relaunched to 2pσu state again followed by subsequent dissociation, termed as the looping process. The rolling and looping dissociation pathways lead to different KERs of the ejected dissociative fragments, which have been verified by comparing experimental measurements with quantum simulation results.

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Arizona State University has officially begun a new chapter in X-ray science with a newly commissioned, first-of-its-kind instrument that will help scientists see deeper into matter and living things. The device, called the compact X-ray light source (CXLS), marked a major milestone in its operations as ASU scientists generated its first X-rays on the night of Feb. 2.

“This marks the beginning of a new era of science with compact accelerator-based X‑ray sources,” said Robert Kaindl, who directs ASU’s Compact X-ray Free Electron Laser (CXFEL) Labs at the Biodesign Institute and is a professor in the Department of Physics. “The CXLS provides hard X-ray pulses with high flux, stability and ultrashort durations, in a very compact footprint. This way, matter can be resolved at its fundamental scales in space and time, enabling new discoveries across many fields — from next-generation materials for computing and information science, to renewable energy, biomolecular dynamics, drug discovery and human health.”

Building the compact X-ray light source is the first phase of a larger CXFEL project, which aims to build two instruments including a coherent X-ray laser. As the first-stage instrument, the ASU CXLS generates a high-flux beam of hard X‑rays, with wavelengths short enough to resolve the atomic structure of complex molecules. Moreover, its output is pulsed at extremely short durations of a few hundred femtoseconds — well below a millionth of one millionth of a second — and thus short enough to directly track the motions of atoms.

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