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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.
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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.
Featured
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.
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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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Latest Posts
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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High frequency radio waves can wirelessly carry the vast amount of data demanded by emerging technology like virtual reality, but as engineers push into the upper reaches of the radio spectrum, they are hitting walls. Literally.
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The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.
While outdoor navigation using GPS technology is seamlessly integrated into everyday life, effective indoor navigation still presents a challenge. GPS signals are typically weaker or even non-existent inside large buildings, shopping malls, hospitals, airports, and industrial complexes.
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In this episode, we explore how AI-powered eco-driving—smartly adjusting vehicle speeds to minimize stops and unnecessary acceleration—can reduce carbon emissions at city intersections by 11 to 22 percent.
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Storage systems from Cloudian, co-founded by an MIT alumnus, are helping businesses feed data-hungry AI models and agents at scale.
Open ad-hoc categorization approach combines language guidance with visual clustering to learn contextualized features for flexible image interpretation.
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New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.
