NVIDIA TAO and Edge Impulse integrate to streamline the development and deployment of edge AI models, empowering developers to quickly build and optimize AI applications for diverse hardware environments.
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ORGANIZATIONS. SHAPING THE INDUSTRY.
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Transforming edge computing through intelligent human interface solutions.
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AI is having an impact on hiring processes, employee retention, and workplace conditions.
Researchers at EPFL have developed a new, uniquely modular machine learning model for flexible decision-making. It is able to input any mode of text, video, image, sound, and time-series and then output any number, or combination, of predictions.
3 minutes read
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
In this episode, we talk about MIT researchers making a smart tool (like a robot scientist) that uses AI to understand and explain how other AI brains (neural networks) work.
14 minutes read
Imagine a task that used to take 11 minutes now taking less time than the blink of an eye. Couple that speed increase with 97% accuracy, and these are the results researchers achieved when combining ML, neural networks and novel compression in a new project advancing reservoir production forecasts.
4 minutes read
MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks.
Learn more about a groundbreaking solution called Temporal Event-based Neural Networks (TENNs) developed by BrainChip, which efficiently combines spatial and temporal convolutions to process sequential data like never before.
An interdisciplinary venture to shape the future of healthcare, communication, and human capability.
How BrainChip's Akida technology is revolutionizing time series data analysis.
5 minutes read
Training robust AI models can be challenging when using crowdsourced or publicly available datasets. The most useful neural networks are ones that replace expert knowledge to solve real problems. One example would be a visual inspection model for the factory floor.
3 minutes read
In this episode, Rob Telson speaks with Industry Expert, Michael Azoff, about neuromorphic computing in the AI space including edge AI, neural network architectures, sensory-based applications and more.
3 minutes read
Gesture recognition, leveraging the advanced capabilities of embedded devices and streamlined through specialized platforms is creating new means of human-machine interactions, paving the way for more intuitive and user-friendly device interfaces.
Article #5 of Spotlight on Innovations in Edge Computing and Machine Learning: A computer vision project that monitors vehicle traffic in real-time using video inferencing performed on the Brainchip Akida Development Kit.
Article #3 of the "Why Edge?" Series. From soaring costs to dwindling resources, the energy and utility sectors face unprecedented challenges in the coming years.
