algorithms

This "Imitation" Python library provides open-source implementations of imitation and reward learning algorithms in PyTorch

This “Imitation” Python library provides open-source implementations of imitation and reward learning algorithms in PyTorch

In domains where reward functions are clearly defined, such as games, reinforcement learning (RL) has outperformed human performance. Unfortunately, it is difficult or impossible for many real-world tasks to design the reward function procedurally. Instead, they should immediately absorb a reward feature or policy from user feedback. Moreover, even when a reward function can be …

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Q-Ctrl and Classiq Partner to Help Developers Build Faster, More Efficient Quantum Algorithms

Q-Ctrl and Classiq Partner to Help Developers Build Faster, More Efficient Quantum Algorithms

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and gain efficiencies by improving and scaling citizen developers. look now. Much of the excitement about quantum computers stems from the ability to use quantum algorithms to solve problems unsolvable with standard or “classic” computers. Several notable examples of quantum …

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How to End Gender Bias in Internet Algorithms

How to End Gender Bias in Internet Algorithms

Articles indexed by Scopus for various gender-related terms. Credit: Algorithms (2022). DOI: 10.3390/a15090303 Endless screeds have been written about whether the internet algorithms we constantly interact with suffer from gender bias, and all you have to do is perform a simple search to see it for yourself. However, according to the researchers behind a new …

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Quantum algorithms save time in calculating electron dynamics

Quantum algorithms save time in calculating electron dynamics

The calculations make it possible to determine the electron densities and the changes after excitation with high spatial and temporal resolution. Here, the example of the lithium hydride molecule shows the shift in electron density from cyanide (red) to lithium (green) during a laser pulse. Credit: F. Langkabel / HZB Researchers investigated the ability of …

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Harvard's Latest Artificial Intelligence (AI) Study Finds Ways to Maximize Accuracy of Image Segmentation by Machine Learning Algorithms in Multiplexed Tissue Images Containing Common Imaging Artifacts

Harvard’s Latest Artificial Intelligence (AI) Study Finds Ways to Maximize Accuracy of Image Segmentation by Machine Learning Algorithms in Multiplexed Tissue Images Containing Common Imaging Artifacts

The cell types, basement membranes, and connective structures that organize tissues and tumors can be found in length ranges from microscopic organelles to entire organs (0.1 to >104 m). In the study of tissue architecture, hematoxylin, eosin (H&E) and immunohistochemical microscopy have long been the method of choice. Additionally, clinical histopathology continues to be the …

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Researchers at South Korea

Researchers from South Korea’s Chung-Ang University are developing a ‘meta-reinforcement’ machine learning algorithm for traffic lights to improve vehicle throughput

Author: Eric Walz No matter how advanced modern vehicles become, including those capable of self-driving, being stuck in heavy city traffic is unlikely to go away anytime soon using traditional headlight technology. traffic to control the flow of vehicles. But recent advances in artificial intelligence (AI) and machine learning have shown promise in optimizing traffic …

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SMU professor Harsha Gangammanavar is leading a multidisciplinary team to develop algorithms that improve complex energy systems—like the management of the energy grid under intermittent renewable power.

DOE awards SMU-led research team $2 million grant for algorithms improving complex energy systems

Harsha Gangammanavar, a professor at SMU, leads a multidisciplinary team responsible for developing algorithms that improve complex energy systems, such as energy grid management in intermittent renewable energy. [Images: SMU photo; istockphoto] Since the “great freeze” hit Texas in 2021, revealing problems in the state’s power grid that have led to long blackouts – and …

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