Simulations of the behavior of individual financial traders show that imperfect market knowledge increases risk but not overall losses.
A model for information storage in the brain reveals how memories decay with age.
Theoretical constructs called attractor networks provide a model for memory in the brain. A new study of such networks traces the route by which memories are stored and ultimately forgotten [1]. The mathematical model and simulations show that, as they age, memories recorded in patterns of neural activity become chaotic—impossible to predict—before disintegrating into random noise. Whether this behavior occurs in real brains remains to be seen, but the researchers propose looking for it by monitoring how neural activity changes over time in memory-retrieval tasks.
Memories in both artificial and biological neural networks are stored and retrieved as patterns in the way signals are passed among many nodes (neurons) in a network. In an artificial neural network, each node’s output value at any time is determined by the inputs it receives from the other nodes to which it’s connected. Analogously, the likelihood of a biological neuron “firing” (sending out an electrical pulse), as well as the frequency of firing, depends on its inputs. In another analogy with neurons, the links between nodes, which represent synapses, have “weights” that can amplify or reduce the signals they transmit. The weight of a given link is determined by the degree of synchronization of the two nodes that it connects and may be altered as new memories are stored.
A quantum device shows promise for simulating molecular dynamics in a difficult-to-model photochemical process that is relevant to vision.
Air Waveguide from “Donut” Laser Beams
Posted in energy
A waveguide sculpted in air with lasers transmits light over a distance of nearly 50 meters, which is 60 times farther than previous air-waveguide schemes.
Conventional optical waveguides such as optical fibers and planar waveguides consist of a core surrounded by a cladding with a lower index of refraction. Light is efficiently confined in the core by total internal reflection at the core-cladding boundary. Optical fibers can transport light over 100s of kilometers, but there are applications—such as high-power transmission and atmospheric monitoring—where the use of fibers becomes impractical. Sending light directly through air is not an option, as diffraction effects cause the beam to spread out. A potential solution is to “sculpt” waveguides in the air with laser pulses that produce a low-density cladding around a central core of unperturbed air. Using a new method with donut-shaped beams, Andrew Goffin from the University of Maryland, College Park, and colleagues have created a 45-m-long waveguide in air [1], reaching 60 times farther than the record they previously established for an air waveguide.
Epigenetic Leaderboard The Rejuvenation Olympics – where you win by never crossing the finish line See How You Rank Top 15 largest age reversals validated by phenotypically trained epigenetic methylation algorithms Rank Name % Improved From Baseline Chronological Age Baseline PACE PACE Of Aging Now (Mean Of 3 Tests) Managing Doctor 1 Bryan […].
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Breakthrough Google DeepMind Adaptive AI agents, known as AdA, are able to learning millions of tasks within minutes each with reinforcement learning, matching the speed and ability of a skilled human gamer, all without using training data. A New InstructPix2Pix text to image artificial intelligence can do photo editing with simple text instructions. A new dataset called OMMO enables novel view synthesis, surface reconstruction, and multi-modal NeRF.
AI News Timestamps:
0:00 New Google DeepMind Reinforcement Learning AI
3:11 New InstructPix2Pix Artificial Intelligence.
6:29 OMMO NeRF View Synthesis.
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Microsoft made a multibillion dollar investment in OpenAI, the creator of ChatGPT, reigniting an old rivalry with Google. The move also set off an “AI arms race” that puts Google at risk. FT explains.
Recycled steel scrap is a low-emitting source of the metal – but we must improve how it is collected and produced in order to help decarbonize the steel industry.
