A deep dive into the convergence of generative AI and edge computing.
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In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what to do next. For instance, you’ve likely used next-token prediction models like ChatGPT, which anticipate each word (token) in a sequence to form answers to users’ queries.
Edge computing: a decentralized computing paradigm that processes data closer to the source, reducing latency and enabling more efficient use of resources.
In this episode, we explore how AI technology is revolutionizing the detection and monitoring of infrastructure defects and learn how these innovative solutions are enhancing safety, improving maintenance, and preventing failures in critical infrastructure systems
11 minutes read
Alumni-founded Ambience Healthcare automates routine tasks for clinicians before, during, and after patient visits.
Robots, combined with artificial intelligence (AI), are transforming industries such as manufacturing, healthcare, and research.
10 minutes read
In nature, flying animals sense coming changes in their surroundings, including the onset of sudden turbulence, and quickly adjust to stay safe. Engineers who design aircraft would like to give their vehicles the same ability to predict incoming disturbances and respond appropriately.
5 minutes read
Edge AI is the process of running artificial intelligence (AI) and machine learning (ML) algorithms on computing devices at the periphery of a network, rather than on large cloud servers.
Similar to visual data, collecting and curating sound data that accurately reflects real-world scenarios is a major hurdle in training effective machine learning models.
2 minutes read
Recently we launched new Edge Impulse functionality that shows just one of the powerful ways that LLMs can be utilized on the edge: using GPT-4o to train a 2,000,000x smaller model, that runs directly on device.
4 minutes read
Several factors contribute to the occurrence of retained surgical bodies. One common factor is the hectic nature of surgical environments, where numerous instruments and items are used during procedures.
5 minutes read
The latest large language models (LLMs), like the newly released ChatGPT-4o, are truly astonishing. They are multimodal, meaning they have multiple senses and can interpret text, images, and audio information and respond in a seemingly human-like manner.
3 minutes read
We are proud to announce that synthetic data generation is now available inside the Edge Impulse platform, enabling a new and efficient way to work with LLM-generated images, audio, and voice to enhance your edge AI models.
3 minutes read
‘Industry 4.0’—the next stage of the Industrial Revolution—leans heavily on the Industrial Internet of Things (IIoT) to support large scale automation of traditional manufacturing practices.
4 minutes read
Ding Zhao is teaming up with the City of Pittsburgh to improve road safety and eliminate traffic fatalities using AI.
3 minutes read
For robots, simulation is a great teacher for learning long-horizon (multi-step) tasks — especially compared to how long it takes to collect real-world training data.
