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Advancing Robot Grips Through Deep Learning
The researchers at the University of Bonn enhance robotic grasping using neural networks and deep learning. This may soon allow robots to handle objects...
Memristor Crossbar Based Deep Learning For Efficient AI
Researchers have developed a deep learning method using memristor crossbars enabling error and noise free, high precision computation.
Machine learning models have proven to be...
Deep Learning Based ‘Atomic Robots!’
Researchers make a new approach to trigger atomic movements by applying deep reinforcement learning.
With advancement in the concept of deep learning and neural networks...
Deep Learning Framework To Enhance A Robotic Sketching Agent
Researchers at Seoul National University have introduced a new deep learning framework exclusively for enhancing the skills of a sketching robot.
The newly developed framework...
Global Sampling of ‘Gluon – Deep Learning Co-Processor’ for Vision AI
AlphaICs, having operations in Bangalore  and Milpitas, US, has announced the availability of engineering samples of ‘Gluon’ - an 8 TOPS Edge AI inference co-processor to...
A Framework To Enhance Deep Learning
Researchers develop a technique to achieve fast and energy-efficient computing using spiking neuromorphic substrates.
As the silicon-based processors are reaching their limit of performance, researchers...
Deep Learning Enables Fast System Development For ADAS Applications
New software development kit (SDK) is an easy-to start and use development framework for the R-Car V series SoCs
Automakers are increasingly relying on deep...
A Few Facts About Deep Learning In A Web Browser
Data privacy has given an impetus to browser based deep learning, as it helps data remain in the vicinity of a device. Another factor...
TensorFlow Lite: An Open Source Deep Learning Framework For Handheld Devices
This article talks about the use of machine learning and deep learning models on handheld devices like mobile phones, Raspberry Pi, and microcontrollers.
Mobile devices...
Accurate Multi-Object Tracking Using Deep Learning
The novel framework achieves state-of-the-art performance without sacrificing efficiency in public surveillance tasks
Computer vision has progressed much over the past decade. Implementing algorithms for...
