Figure’s founder Brett Adcock says a new partnership with OpenAI could help its robots hold conversation and learn from its mistakes over time.
Until recently, chalcopyrite-based solar cells have achieved a maximum energy conversion efficiency of 23.35%, as reported in 2019 by Solar Frontier, a former Solar Energy company based in Japan. Further boosting this efficiency, however, has so far proved challenging.
Researchers at Uppsala University and at the First Solar European Technology Center AB (former Evolar AB) in Sweden recently attained a higher efficiency of 23.64% in chalcopyrite-based solar cells. This efficiency, reported in Nature Energy, was achieved using two primary techniques, namely high-concentration silver alloying and steep back-contact gallium grading.
“A primary objective of our study was to increase the efficiency of CIGS-based thin-film solar cells to ultimately lower the price per Watt-peak of corresponding large-scale modules,” Jan Keller, first author of the paper, told Phys.org. “Our work makes use of the findings from many research groups around the world, obtained during the last decades.”
The most popular words of 2023 were recently released, with AI Large Language Model (LLM) unquestionably topping the list. As a front-runner, ChatGPT also emerged as one of the international buzzwords of the year. These disruptive innovations in AI owe much to big data, which has played a pivotal role. Yet, AI has simultaneously presented new opportunities and challenges to the development of big data.
High-capacity data storage is indispensable in today’s digital economy. However, major storage devices like hard disk drives and semiconductor flash devices face limitations in terms of cost-effectiveness, durability, and longevity.
Optical data storage offers a promising green solution for cost-effective and long-term data storage. Nonetheless, optical data storage encounters a fundamental limitation in the spacing of adjacent recorded features, owing to the optical diffraction limit. This physical constraint not only impedes the further development of direct laser writing machines but also affects optical microscopy and storage technology.
Dialogues In Longevity With Dr. Aubrey de Grey, President & Chief Science Officer, Longevity Escape Velocity Foundation & Dr. Michael Rose, Director of the Network for Experimental Research on Evolution (NERE), and Professor, Department of Ecology and Evolutionary Biology, University of…
https://www.youtube.com/watch?v=Xr0fgi75SXc
Buran and the Moonraker Mysterywe embark on a captivating journey into the realm of the unknown, exploring the enigmatic connection between the Soviet space…
In the fascinating intersection of quantum computing and the human experience of time, lies a groundbreaking theory that challenges our conventional narratives: the D-Theory of Time. This theory proposes a revolutionary perspective on time not as fundamental but as an emergent phenomenon arising from the quantum mechanical fabric of the universe.
In my upcoming book with a working title Cybernetic Theory, the entire section is dedicated to the physics of time, where we discuss the D-Theory of Time, predicated or reversible quantum computing at large, which represents a novel framework that challenges our conventional understanding of time and computing. Here, we explore the foundational principles of the D-Theory of Time, its implications for reversible quantum computing, and how it could potentially revolutionize our approach to computing, information processing, and our understanding of the universe.
At its core, the D-Theory of Time suggests that time may not be a fundamental aspect of the universe but rather an emergent property arising from the interactions of more basic entities or processes. Time symmetry, in physics, refers to the principle that the fundamental laws governing the universe are invariant, or unchanged, when the direction of time is reversed. Given extra degrees of freedom, time is not a linear, unidirectional flow but a set of dimensions that can be traversed in both directions, akin to spatial dimensions. This perspective aligns with the concept of reversible quantum computing, where operations are not only forward but can also be reversed, preserving quantum information, and potentially enabling universal computations that are far beyond the capabilities of classical computing.
In day-to-day life, light seems intangible. We walk through it and create and extinguish it with the flip of a switch. But, like matter, light actually carries a little punch—it has momentum. Light constantly nudges things and can even be used to push spacecraft. Light can also spin objects if it carries orbital angular momentum (OAM)—the property associated with a rotating object’s tendency to keep spinning.
Scientists have known that light can have OAM since the early 90s, and they’ve discovered that the OAM of light is associated with swirls or vortices in the light’s phase—the position of the peaks or troughs of the electromagnetic waves that make up the light. Initially, research on OAM focused on vortices that exist in the cross-section of a light beam—the phase turning like the propeller of a plane flying along the light’s path.
But in recent years, physicists at UMD, led by UMD Physics Professor Howard Milchberg, have discovered that light can carry its OAM in a vortex turned to the side—the phase spins like a wheel on a car, rolling along with the light. The researchers called these light structures spatio-temporal optical vortices (STOVs) and described the momentum they carry as transverse OAM.
Professor Ronjon Nag presents about his project on AI and healthcare, aiming at creating a multi-faceted approved therapy for extending lifespan and curing aging.
Dr. Ronjon Nag is an inventor, teacher and entrepreneur. He is an Adjunct Professor in Genetics at the Stanford School of Medicine, becoming a Stanford Distinguished Careers Institute Fellow in 2016. He teaches AI, Genes, Ethics, Longevity Science and Venture Capital. He is a founder and advisor/board member of multiple start-ups and President of the R42 Group, a venture capital firm which invests in, and creates, AI and Longevity companies. As an AI pioneer of smartphones and app stores, his companies have been sold to Apple, BlackBerry, and Motorola. More recently he has worked on the intersection of AI and Biology. He has numerous interests in the intersection of AI and Healthcare including being CEO of Agemica.ai working on creating a therapy for aging.
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EVs fall into two broad categories based on their nominal voltage: most run on 400 volts, but a handful double the voltage for a whole host of advantages.
