Three years ago, Google’s AlphaFold pulled off the biggest artificial intelligence breakthrough in science to date, accelerating molecular research and kindling deep questions about why we do science.
Researchers have developed a genetic algorithm for designing phononic crystal nanostructures, significantly advancing quantum computing and communications.
The new method, validated through experiments, allows precise control of acoustic wave propagation, promising improvements in devices like smartphones and quantum computers.
Quantum Computing Revolution
Imagine being able to watch the inner workings of a chemical reaction or a material as it changes and reacts to its environment—that’s the sort of thing researchers can do with a high-speed “electron camera” called the Megaelectronvolt Ultrafast Electron Diffraction (MeV-UED) instrument at the Linac Coherent Light Source (LCLS) at the U.S. Department of Energy’s SLAC National Accelerator Laboratory.
Now, in two new studies, researchers from SLAC, Stanford and other institutions have figured out how to capture those tiny, ultrafast details with more accuracy and efficiency.
In the first study, recently published in Structural Dynamics, one team invented a technique to improve time resolution for the electron camera.
In this thought-provoking lecture, Prof. Jay Friedenberg from Manhattan College delves into the intricate interplay between cognitive science, artificial intelligence, and ethics. With nearly 30 years of teaching experience, Prof. Friedenberg discusses how visual perception research informs AI design, the implications of brain-machine interfaces, the role of creativity in both humans and AI, and the necessity for ethical considerations as technology evolves. He emphasizes the importance of human agency in shaping our technological future and explores the concept of universal values that could guide the development of AGI for the betterment of society.
00:00 Introduction to Jay Friedenberg.
01:02 Connecting Cognitive Science and AI
02:36 Human Augmentation and Technology.
03:50 Brain-Machine Interfaces.
05:43 Balancing Optimism and Caution in AI
07:52 Free Will vs Determinism.
12:34 Creativity in Humans and Machines.
16:45 Ethics and Value Alignment in AI
20:09 Conclusion and Future Work.
A grass-green snake from Vietnam with yellow eyes, blue lips and a brick-red tail has been identified as a distinct species.
Discover the fascinating world of nanotechnology and its impact on our lives. Learn about the science on a tiny scale and how it revolutionizes medicine, electronics, and everyday products.
Second, ants need to climb or hold onto the vehicle after locating it. The metallic paint on the vehicle surface is slippery and may potentially select for species with good climbing/gripping abilities. The climbing and moving performance of ants is determined by the morphological characteristics of leg segments (Beutel et al., 2020). Arboreal ants have hooked pretarsal claws, well-developed adhesive pads and fine tarsal hairs, allowing them to walk on smooth vertical substrates. Ground-dwelling ants, on the contrary, are less capable of moving on smooth surfaces such as vehicle paint because of their straight pretarsal claws and the lack of adhesive pads and tarsal hairs (Orivel et al., 2001).
Third, the temperature on the surface and in the interior of the vehicle can increase dramatically when exposed to sunlight, especially in the summer, indicating the thermal tolerance of hitchhiking species may play an important role in determining their colonisation success (Nixon et al., 2019). Arboreal ants are generally more heat-and drought-tolerant than ground-dwelling ants are (Hood & Tschinkel, 1990 ; Leahy et al., 2022), which could potentially translate into a higher probability of successful establishment at the destination due to better survival chance with high temperatures on or in the vehicle.
It is likely that ant hitchhiking events would be much more common than what has been reported through our Facebook group. We suspect that whether vehicle owners are aware of the Facebook group and/or vehicle owners are willing to report their observations to our Facebook group would play a critical role in the number of incidents we received for this citizen science project. Nonetheless, we were able to record at least 52 hitchhiking cases with complete information over a 7-year period. Despite a relatively small dataset, the estimated sampling completeness was appropriate (Figure S3). To our knowledge, this is the first report profiling active ant hitchhiking on vehicles via citizen science efforts, highlighting the importance of establishing a predictive framework for forecasting future hitchhikers based on behavioural, morphological, physiological and ecological traits of ant species. Such a framework will help facilitate the development of effective management strategies for mitigating ant invasions via active hitchhiking on vehicles.
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What would Brian Greene do if he could travel through time, and which future technology is he most excited about?
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This study introduces a novel methodology for consciousness science. Consciousness as we understand it pretheoretically is inherently subjective, yet the data available to science are irreducibly intersubjective. This poses a unique challenge for attempts to investigate consciousness empirically. We meet this challenge by combining two insights. First, we emphasize the role that computational models play in integrating results relevant to consciousness from across the cognitive sciences. This move echoes Alan Newell’s call that the language and concepts of computer science serve as a lingua franca for integrative cognitive science. Second, our central contribution is a new method for validating computational models that treats them as providing negative data on consciousness: data about what consciousness is not. This method is designed to support a quantitative science of consciousness while avoiding metaphysical commitments. We discuss how this methodology applies to current and future research and address questions that others have raised.
Keywords: computationalism; consciousness; evidence; functionalism; methodology; modeling.
© The Author(s) 2021. Published by Oxford University Press.
Perfume making dates back at least 3,000 years—to the time of Tapputi-belat-ekalle, who is considered the first chemist in history. What we know about her comes from inscriptions on fragments of clay tablets dating back to the Middle Assyrian period (1400–1000BC).
