How BrainChip's Akida technology is revolutionizing time series data analysis.
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neural network
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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.
Neural field network doesn’t need to be trained on other samples
A short guide to understanding the edge neural network design.
Proven benchmarks provide a structured method for comparing ML/DL products and services.
The student article explains an artificial intelligence-based system to detect human body patterns and movements for multiple targets in real-time to recognize their behaviors and classify them as either normal or abnormal.
A new type of neural network aced a virtual wine-tasting test and promises a less energy-hungry version of artificial intelligence.
The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.
Columbia computer scientists have built an algorithm that blocks a rogue microphone from correctly hearing your words—in English so far—80% of the time
Using an artificial neural network, researchers at ETH Zurich have created the first high-resolution global vegetation height map for 2020 from satellite images.
5 minutes read
In this episode, we talk about how robotic technology is being leveraged to create a system capable of handling pizza dough and to offer an autonomous alternative that should address the primary shortcomings of conventional wheelchairs.
