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Machine Learning

Caption: Deployed for the assembly of individual proteins, FrameDiff demonstrates its prowess by crafting extensive proteins with as many as 500 components. This method exhibits a significant advancement as it forges ahead, independent of the need for a pre-charted protein structure blueprint. Credits: Image: Alex Shipps/MIT CSAIL

AI is Shaping the Future of Biomedicine With Artificially Engineered Proteins

Categories Health, Technology

Digital brain illustration. Pixabay

Quantum Computers Embrace Quantum Mechanics

Categories Technology

Illustration of AI

There’s a faster, cheaper way to train large language models

Categories Physics & Mathematics, Technology

Illustration of old neighborhood in 3d

Turning old maps into 3D digital models of lost neighborhoods

Categories Technology

Turning old maps into 3D digital models of lost neighborhoods

Categories Technology

Woman listening to music on headphones. Credit Pixabay

Brain Responses and Machine Learning Predict Hit Songs with 97% Accuracy

Categories Brain & Behavior, Social Sciences, Technology

A robot cooking. Image courtesy University of Cambridge

Cooking Videos Teach Robotic ‘Chef’ to Whip Up Delicious Dishes

Categories Technology

Visualization Unveils Spatially Interacting Patterns of Tumor and Immune Activity in Breast Cancer Tissue Samples

Software IDs Molecular Interactions within Tumors

Categories Health, Physics & Mathematics, Technology

Illustration of a robot and man in a business suit

ChatGPT is still no match for humans when it comes to accounting

Categories Technology

Figure: Scheme of Deep Machine Learning consisting of many layers (left) vs. Shallow Brain Learning consisting of a few layers with enlarged width (right). For more detail see https://www.nature.com/articles/s41598-023-32559-8

Is Deep Learning a necessary ingredient for Artificial Intelligence?

Categories Physics & Mathematics, Technology

This image was generated using Stable Diffusion, a text-to-image generator, using the prompt “researchers working with huge piles of data.” UW–Madison’s Dane Morgan and Maciej Polak have published their solution for training ChatGPT to read academic articles, tabulate key data and check the results for accuracy, thereby saving valuable research time.

ChatGPT makes materials research much more efficient

Categories Physics & Mathematics, Technology

Student walking across campus followed by a drone

Drones navigate unseen environments with liquid neural networks

Categories Physics & Mathematics, Technology

Woman posing in yoga

No magic number for time it takes to form habits

Categories Brain & Behavior

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