Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In today’s fast-paced digital landscape, businesses relying on AI face ...

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 ...

“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 ...