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EPFL researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations.
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EPFL researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations.
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Chris Cooper, collaborators to use AI to design new plastics that can be more easily recycled for a circular economy
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Researchers at NC State University have unveiled Rainbow, a first-of-its-kind multi-robot self-driving laboratory that autonomously discovers high-performance quantum dots – semiconductor nanoparticles critical for next-generation displays, solar cells, LEDs and quantum-engineering technologies.
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Latest Posts
EPFL researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations.
2 minutes read
Chris Cooper, collaborators to use AI to design new plastics that can be more easily recycled for a circular economy
2 minutes read
Researchers at NC State University have unveiled Rainbow, a first-of-its-kind multi-robot self-driving laboratory that autonomously discovers high-performance quantum dots – semiconductor nanoparticles critical for next-generation displays, solar cells, LEDs and quantum-engineering technologies.
3 minutes read
event | OCT 23 - OCT 23, 2025
Join Altair's upcoming virtual event, ATCx Digital Twin – From Idea to Reality on October 23rd, to discover how simulation, AI, and high-performance computing are converging to redefine product design and development.
A research team from ETH Zurich has taught the four-legged robot ANYmal to play badminton – including precise arm movements, quick reflexes and nimble footwork.
New machine learning framework bridges the embodiment gap between robots and humans and enables quadrupedal robots to perform versatile movements like pouring soda, organizing shoes, and even cleaning up cat litter.
A new machine learning model can save engineers time and computation resources by using AI to quickly and accurately predict simulation results.
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Wearables have enjoyed a meteoric rise in popularity in recent years to the point that one in four of us now wear a smart connected device. Fifteen years ago, it was one in 100 people. This growth in ownership has been driven to an extent by convenience and integration.
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In this article, we'll explore how three edge AI architectures; robotics, system-on-modules (SoMs), and medical devices, are driving this shift, and how MRAM and FeRAM are enabling smarter, more resilient memory at the edge.
AI has made incredible recent progress, but voice assistants are still plagued by the rigidity and lack of contextual awareness they launched with years ago. For most, voice remains an interface of last resort, reserved for occasionally pulling up directions or playing a song on a smart speaker.
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MIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.
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The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.
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