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Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...

The vast proliferation and adoption of AI over the past decade has started to drive a shift in AI compute demand from training to inference. There is an increased push to put to use the large number ...

Deep learning network compression techniques have emerged as a crucial research area, aiming to reduce the computational and storage requirements of neural networks without significantly compromising ...

Vishakha Agrawal’s insights underscore the evolving landscape of AI optimization, where co-optimization of models, compilers, and hardware will be the key. Optimizing AI models for real-world ...

The Internet of Things (IoT) has shown significant growth and promise, with data generated by IoT devices alone expected to reach 73.1 zettabytes by 2025. Moving this data away from its point of ...

Harshraj Bhoite holds a Bachelor of Engineering in Electronics and Telecommunications and has over 12 years of experience in Data Engineering and Artificial Intelligence. He has worked with leading ...

“Camera-based Deep Learning algorithms are increasingly needed for perception in Automated Driving systems. However, constraints from the automotive industry challenge the deployment of CNNs by ...