Market Analysis

This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Microsoft announced on July 22 that it plans to invest $1 billion in OpenAI, a research organization working on artificial general intelligence (AGI). The Microsoft OpenAI announcement mentioned the co-development of Azure AI supercomputing technologies focused […]

This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Enterprises have been using analytical machine learning (ML) techniques for years to solve business problems related to making predictions on raw data. Today, perception-based techniques driven by deep learning and neural networks are gaining traction around

The automotive industry is on the verge of a revolution with the gradual development of self-driven vehicles. Over the past decade, OEMs, tier 1 manufacturers, and tier 2 manufacturers have been constantly developing new and advanced safety features to make a vehicle more autonomous, which is further leading to high purchases of such vehicles. Considering

AI SoC automotive unit volume will surpass 2.8 billion units by 2023, says Semico Research AI is ready to make an impact in a long list of industries and applications. The initial round of AI adoption occurring today involves the replacement of existing SoC solutions with new silicon solutions that incorporate some level of AI

The vision sensor, a key sensor for ADAS and autonomous driving, was galloping ahead in the past year, along with the relentless march of LiDAR and radar technologies. The automotive camera is trending toward packing network clustering, night vision, inward-looking and 3D capabilities. Network Clustering In 2018 Continental AG launched MFC500, its fifth-generation automotive camera

This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. The world is moving quickly when it comes to AI algorithms and applications. In less than 3 years, the complexity of neural networks (NNs) has increased from single-digit layers to 10s or even 100s of layers,