A holistic open-source framework to improve the performance of multiple modalities and outperform the existing single-modality algorithms.
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Latest Posts
#6 of our 'Voice of Innovation' fireside chat series: Robotics and AI reporter Rachel Gordon speaks to IoT networking savant Wienke Giezeman.
Soon, internet users will be able to meet each other in cyberspace as animated 3D avatars. Researchers at ETH Zurich have developed new algorithms for creating virtual humans much more easily.
4 minutes read
In this article, we take a look at two tinyML projects related to healthcare. The first project helps gather Mean Radiant Temperature data outdoors to protect people from extreme heat, and the other one is a solution for affordable, accurate, & rapid detection of pneumonia.
In this episode, we talk about MIT’s new ion propelled hovering rover destined to change the way we explore our universe and an emergency drone coming from TUM hoping to reduce the fatalities caused by cardiac arrest episodes.
Whether for squats or sit-ups, the software created by the start-up VAY alerts exercisers about incorrect movements via a smartphone screen. Now the ETH spin-off has been acquired by connected fitness equipment manufacturer Nautilus.
4 minutes read
Voice interface demands application-specific chips that can understand language.
In this article, we take a look at two tinyML projects that have the potential to make contributions towards sustainable development goals. While the first project is about revolutionising precision farming, the second one aims to create a network of low-cost sensors for mapping carbon emissions.
In this episode, we talk about a breakthrough in biorobotics with self-reproducing xenobots and a leap in stable tissue engineering designs.
Edge Impulse recently announced official support for the Syntiant NDP101 processor, an always-on sensor and speech recognition processor, with ultra-low power consumption of less than 140 uW while recognizing words.
In this episode, we talk about how the AI used for deep fakes is being leveraged for new material discovery and how AI beat human managers in process management.
In this episode, we talk about how computer vision works and discuss an application coming out of the Technical University of Denmark that can help dairy farmers remove weeds from their fields.
The article covers the basics of TinyML, a technology that improves the privacy, energy efficiency, affordability and reliability of devices utilising artificial intelligence. Be a part of TinyML for good, an online event and showcase of ideas that aims at exploring the topic in more detail.
A rich line-up of speakers discuss the trends and challenges of the industry.
Learn how vision AI can be used to prevent damage and contamination by detecting unwanted material during processing and manufacturing.
3 minutes read
