Did you know that a wide range of businesses and professionals are using facial recognition search engines? Lawyers, photographers, bloggers, celebrities, models, recruiters and marketing agencies are just some of the people who are embracing this new technology. In this post, we showcase 8 facial recognition search engines you can use to find similar pictures and videos online. Online facial recognition search is only a subset of what a full-set solution might be able to accomplish. As technology advances, software vendors have begun offering Face Recognition Online APIs that you can easily integrate with your Apps and information systems.

After a decade of Sales Enablement vendors having to optimize their experiences for mobile, now almost every new vendor seems to have a Machine Learning (ML) or Artificial Intelligence (AI) story to tell. Here my list of Sales Enablement tools powered by – or at least integrating – ML / AI (obviously most uses of the term Artificial Intelligence are talking about Machine Learning). Sales Enablement: Transform your sales strategy with impactful sales enablement applications to sell more. "Sales teams rely on our AI-powered WinScores, Opportunity Insights and Opportunity Maps to take control of pipeline and deliver better, more predictable outcomes." Aviso's AI-powered platform for sales helps close more deals. The company's mobile, AI-powered sales enablement automation platform's user experience empowers reps to more effectively engage with customers & prospects & encourages team-wide adoption. Customers include AT&T, ThermoFisher, Merck, ANZ Bank.

Sally the salad-making robot has arrived, and she may be the next big thing that can satisfy your customers' hunger for food-service automation. The creation of Redwood City, CA-based Chowbotics, Sally is a programmable robot that is about the size of dorm refrigerator. Using proprietary robotics technology, Sally can dispense and accurately measure 21 different healthy ingredients, including romaine, kale, seared chicken breast, Parmesan, California walnuts, cherry tomatoes and Kalamata olives. She mixes and dispenses the ingredients, while maintaining a precise temperature control. The foodie robot can craft 1,000 unique salads, all while the customer watches.

The current era of internet-facilitated bigger data, better tools, and collective intelligence community computing is accelerating advances in many areas ranging from artificial intelligence to knowledge generation to public health. In the health sector, data volumes are growing with genomic, phenotypic, microbiomic, metabolomic, self-tracking, and other data streams. Simultaneously, tools are proliferating to allow individuals and groups to make sense of these data in a participatory manner through personal health tracking devices, mobile health applications, and personal electronic medical records. Health community computing models are emerging to support individual activity and mass collaboration through health social networks and crowdsourced health research studies. Participatory health efforts portend important benefits based on both size and speed. Studies can be carried out in cohorts of thousands instead of hundreds, and it could be possible to apply findings from newly-published studies with near-immediate speed. One operator of interventional crowdsourced health research studies, DIYgenomics, has several crowdsourced health research studies in open enrollment as of January 2012 in the areas of vitamin deficiency, aging, mental performance, and epistemology. The farther future of intelligent health community computing could include personal health dashboards, continuous personal health information climates, personal virtual coaches (e.g.; Siri 2.0), and an efficient health frontier of dynamic personalized health recommendations and action-taking.