Author: Archishman Biswas

Archishman Biswas
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http://www.marktechpost.com
Archishman Biswas is currently an 4th year undergraduate pursuing Dual Degree in Electrical Engineering at the Indian Institute of Technology, Bombay. His specialization is in the field of Communication Systems and Signal Processing. He is interested in recent and emerging Deep Learning architectures. He is enthusiastic about exploring the applications of Deep Learning and other AI techniques in fields of Image Processing and Computer Vision.

A Neural Network for Solving and Generating University Level Mathematics Problems Using Program Synthesis

The AI research community widely believed that modern deep learning architectures were not "intelligent" enough to solve advanced mathematical problems. But, previous attempts to...

NVIDIA Omniverse is Now Available to Millions of Individual NVIDIA Studio Creators Using GeForce RTX and NVIDIA RTX GPUs

Projects on modeling 3D scenes can get complicated quickly, and many of them require cross-platform support and seamless collaboration opportunities to deliver the best...

Researchers Introduce A New Hand Gesture Recognition Algorithm Combining Hand-Type Adaptive Algorithm And Effective-Area Ratio For Efficient Edge Computing

Almost all of our computer interaction occurs via mouse, keyboards, and touch screens. An essential step in making human-computer interactions more efficient would be...

Developers Can Now Use ONNX Runtime (Machine Learning Inference Engine) To Build Machine Learning Applications Across Android And iOS Platforms Through Xamarin

Traditionally, AI models were run over powerful servers in the cloud. Implementing β€œon-device machine learning,” like using mobile phones, is rarely heard of. This...

Meta AI Introduces A New AI Technology Called ‘Few-Shot Learner (FSL)’ To Tackle Harmful Content

For the training of AI models, a massive number of labeled data points or examples are required. Typically, the number of samples needed is...

AMD Introduces Its MI200 Series GPUs: An Exascale-Class GPU Accelerators For Deep Learning

Scientific endeavors such as weather forecasting, climate modeling, analyzing new energy sources, drug discovery, training AIs, or running any form of large-scale simulation require...

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