17 h. ago How AI could speed the development of RNA vaccines and other RNA therapies

MIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.

Politics

3 d. ago More cameras, more problems? Why deep learning still struggles with 3D human sensing

Accurately estimating human pose was among the first tasks addressed by deep learning. Early models like OpenPose focused on localizing human joints as 2D keypoints in image coordinates. Later, Google came up with Mediapipe, followed by YOLOpose, which gained major attention and is widely adopted due to its efficiency and accuracy.

Science

9 d. ago Anthropic says they've found a new way to stop AI from turning evil

AI is a relatively new tool, and despite its rapid deployment in nearly every aspect of our lives, researchers are still trying to figure out how its "personality traits" arise and how to control them. Large learning models (LLMs) use chatbots or "assistants" to interface with users, and some of these assistants have exhibited troubling behaviors recently, like praising evil dictators, using blackmail or displaying sycophantic behaviors with users. Considering how much these LLMs have already been integrated into our society, it is no surprise that researchers are trying to find ways to weed out undesirable behaviors.

Politics

2 w. ago A thermodynamic approach to machine learning: How optimal transport theory can improve generative models

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics that deals with constantly changing systems, explains why optimal transport theory, a mathematical framework for the optimal change of distribution to reduce cost, makes generative models optimal. As nonequilibrium thermodynamics has yet to be fully leveraged in designing generative models, the discovery offers a novel thermodynamic approach to machine learning research. The findings were published in the journal Physical Review X.

Politics

2 w. ago New algorithm enables efficient machine learning with symmetric data structures

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science parlance, the molecule is "symmetric," meaning the fundamental structure of that molecule remains the same if it undergoes certain transformations, like rotation.

Politics

4 w. ago Generative AI models streamline fashion design with new text and image creation

Generative artificial intelligence (AI) has the potential to revolutionize fashion design. By recognizing patterns in data and generating new text and images, AI models powered by deep learning algorithms can help fashion designers develop new catalogs, expanding their creativity, with added efficiency, helping to bring products to the market faster.

Politics

4 w. ago When the stakes are high, do machine learning models make fair decisions?

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who advances and who is declined.

Politics