15 h. ago New machine learning framework enhances precision, efficiency in metal 3D printing

Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing.

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42 h. ago Drugs Have Uses We Can’t Imagine. He’s Using A.I. to Find Them.

Scientists are using machine learning to find new treatments among thousands of old medicines.

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42 h. ago Doctors Told Him He Was Going to Die. Then A.I. Saved His Life.

Scientists are using machine learning to find new treatments among thousands of old medicines.

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46 h. ago Organizations should embrace AI to boost performance, says marketing professor

Companies and corporations that are quick to adopt artificial intelligence (AI) and machine learning are more likely to boost performance and reap rewards, research from Edith Cowan University (ECU) has shown.

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8 d. ago Study reveals barriers to AI integration in manufacturing design

The integration of Artificial Intelligence (AI) into manufacturing processes has huge potential for improving productivity, efficiency, and safety. Machine learning models are already used to monitor equipment health and others predict supply-chain issues and consumer demand. However, research published in the International Journal of Mechatronics and Manufacturing Systems suggests that there remain barriers to the more widespread adoption of AI in production environments. In particular, there are obstacles to incorporating AI in the early design phase.

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1 week ago Machine learning precisely predicts material characteristics for high

In the lab, perovskite solar cells show high efficiency in converting solar energy into electricity. In combination with silicon solar cells, they could play a role in the next generation of photovoltaic systems. Now researchers at KIT have demonstrated that machine learning is a crucial tool for improving the data analysis needed for commercial fabrication of perovskite solar cells. They present their results in Energy & Environmental Science.

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2 w. ago AI reveals new way to strengthen titanium alloys and speed up manufacturing

Producing high-performance titanium alloy parts—whether for spacecraft, submarines or medical devices—has long been a slow, resource-intensive process. Even with advanced metal 3D-printing techniques, finding the right manufacturing conditions has required extensive testing and fine-tuning.

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2 w. ago AI pioneers scoop Turing Award for reinforcement learning work

Two trailblazing computer scientists have won the 2024 Turing Award for their work in reinforcement learning, a discipline in which machines learn through a reward-based trial-and-error approach that lets them adapt within constrained or dynamic environments. Andrew G. Barto, a professor emeritus at the University of Massachusetts Amherst; and Richard S. Sutton, a professor at […] © 2024 TechCrunch. All rights reserved. For personal use only.

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2 w. ago New AI model detects toxic online comments with 87% accuracy

Computer scientists have developed a powerful machine learning model that can detect toxic social media comments with remarkable accuracy, paving the way for safer digital interactions.

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2 w. ago New AI model achieves 87% accuracy in detecting toxic online comments

Computer scientists have developed a powerful machine learning model that can detect toxic social media comments with remarkable accuracy, paving the way for safer digital interactions.

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2 w. ago Engineers create more effective burner to reduce methane emissions

Researchers at Southwest Research Institute (SwRI) and the University of Michigan (U-M) have published a new study showing an advanced new methane flare burner, created with additive manufacturing and machine learning, eliminates 98% of methane vented during oil production. The burner was designed by U-M engineering researchers and tested at SwRI.

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4 w. ago Figure’s humanoid robot takes voice orders to help around the house

Figure founder and CEO Brett Adcock Thursday revealed a new machine learning model for humanoid robots. The news, which arrives two weeks after Adcock announced the Bay Area robotics firm’s decision to step away from an OpenAI collaboration, is centered around Helix, a “generalist” Vision-Language-Action (VLA) model. VLAs are a new phenomenon for robotics, leveraging […] © 2024 TechCrunch. All rights reserved. For personal use only.

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last month Spore.Bio raises $23M to apply machine learning to microbiology testing

Recalls in the food and beverage industry due to contamination incidents can have catastrophic effects. Not only do companies have to pay fines and damages, but the impacts on the brand’s reputation can be long-lasting. That’s why Spore.Bio, a Paris-based deeptech startup, is trying to reinvent microbiology testing to avoid the next PR crisis in […] © 2024 TechCrunch. All rights reserved. For personal use only.

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