Scaling Data Quality with Computer Vision on Spatial Data

In this contributed article, editorial consultant Jelani Harper discusses a number of hot topics today: computer vision, data quality, and spatial data. Computer vision is an extremely viable facet of advanced machine learning for the enterprise. Its utility for data quality is evinced from some high profile use cases. This technology can produce similar boons for other facets of the ever-shifting data ecosystem.

Deep Learning Offers the Potential to Improve the Video Streaming Experience

In this contributed article, Christian Timmerer, Co-founder of Bitmovin, describes the findings of a recent paper that Timmerer and his team presented at IEEE’s International Conference on Communications and Image Processing which explores the use of Convoluted Neural Networks (CNNs) to improve video streaming.

AI for Pharma R&D – Creating Anti-cancer Drugs Faster, Reducing Process from Years to Days

The costs and process of developing anti-cancer drugs has been an extreme challenge for decades. Today one company, AccutarBio, is harnessing the power of AI to accelerate drug discovery and reform the current “hit-to-lead” drug discovery scheme. The company recently received $15 million in funding (including money from Chinese AI/facial recognition company YITU) and is now partnering with Amgen.

Tuputech Introduces Image Recognition Solution to Identify Objectionable or Explicit Online Content through Its Deep Learning AI Platform

To manage brands and social platforms in today’s online communities, companies must have a way to quickly and easily monitor shared content. Tuputech is introducing its cloud-based image recognition solution to the U.S. to help companies identify, tag and filter objectionable images—pornographic, violent or otherwise explicit or inappropriate.