Minimizing power consumption is a major factor that contributes to the modern-day development of IC designs, especially in the consumer electronics segment. The heating of the devices, the time it takes to turn on/off the features of handheld devices, battery life, etc are still under reforms. Hence it becomes important that best practices of chip design are adopted to aid the power consumption in SoCs (System on Chip) and other ICs (Integrated Circuit).

Deep learning is growing at a tremendous pace in terms of models and their datasets. In terms of applications, the deep learning market is dominated by image recognition followed by optical character recognition, and facial and object recognition. According to Allied market research, the global deep learning market was valued at $6.85 billion in 2020, and it is predicted to reach $179.96 billion by 2030, with a CAGR of 39.2% percent from 2021 to 2030.

Owing to revolutionary developments in computer architecture and ground-breaking advances in AI & machine learning applications, embedded systems technology is going through a transformational period.

The introduction of the Continuous Integration/Continuous Deployment (CI/CD) process has strengthened the release mechanism, helping products get to market faster than ever and allowing application development teams to deliver code changes more frequently and reliably.

AI has become ubiquitous today from personal devices to enterprise applications, you see them everywhere. The advent of IoT clubbed with rising demand for data privacy, low power, low latency, and bandwidth constraints has increasingly pushed for AI models to be running at the edge instead of the cloud.

With new-age technologies, customers now have higher expectations from their vehicles than ever before. Many are more concerned with in-car interfaces than with aesthetics or engine power. The majority of drivers desire a vehicle that makes their lives easier and supports their favorite smartphone apps.

Machine Vision has exploded in popularity in recent years, particularly in the manufacturing industry. Companies can profit from the technology's enhanced flexibility, decreased product faults, and improved overall production quality. The ability of a machine to acquire images, evaluate them, interpret (the situation), and then respond appropriately is known as Machine Vision.