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Three of them were transferred, and two developed. Rachel, who said she had a relatively straightforward pregnancy, gave birth on October 31 at 37 weeks and two days.

Timothy weighed 6 pounds and 7 ounces. Lydia weighed 5 pounds and 11 ounces.

The twins’ record-breaking delivery was verified by the University of Tennessee’s Preston Medical Library. The previous record holder was a child named Molly Gibson, who was born in 2017. The frozen embryo that later became Molly had been stored for 24 years.

Its impressive how adaptive the brain is to each situation. It can sense which portions of the brain need more blood flow depending on energy usage and makes the needed tiny adjustments.

Summary: Researchers identified a specific type of cell that sits on top of the brain’s smallest blood vessels that sense when their region of the brain is in need of energy.

Source: University of Maryland

Continue reading “Special Vascular Cells Adjust Blood Flow in Brain Capillaries Based on Local Energy Needs” »

I wonder if musicians should be worried.

Google Research introduces MusicLM, a model that can generate high-fidelity music from text descriptions. See how MusicLM casts the process of conditional music generation as a hierarchical sequence-to-sequence modeling task, and how it outperforms previous systems in audio quality and text description adherence. Learn more about MusicCaps, a dataset composed of 5.5k music-text pairs, and see how MusicLM can be conditioned on both text and a melody. Check out this video to see the power of MusicLM: Generating Music From Text! #GoogleResearch #MusicLM #MusicGeneration.

Continue reading “My Mind was Blown. AI Music is INSANE! — Google’s NEW MusicLM AI” »

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.

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 […].

Deep Learning AI Specialization: https://imp.i384100.net/GET-STARTED
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.

#technology #tech #ai