Artificial intelligence (AI) plays a key role in the digital age. Self-learning algorithms have the potential to improve processes and be used in production, laboratory analysis and diagnostics. This is also because classical image processing solutions work with a fixed set of rules, making varying or rapidly changing objects a major challenge. Artificial intelligence, on the other hand, can handle such cases effortlessly. So where are the challenges to technology?

Philadelphia, PA, Nov. 29, 2021 (GLOBE NEWSWIRE) -- VSBLTY Groupe Technologies Corp. (OTCQB: VSBGF) (CSE: VSBY) (Frankfurt 5VS) ("VSBLTY"), a leading software provider of security and retail analytics technology, today issued its CEO Update to highlight Q3 financial performance as well as recent corporate milestones. VSBLTY CEO & Co-founder Jay Hutton said, "VSBLTY is pleased to report that the third quarter bookings were a strong $4.5 million USD, resulting in a booked to revenue ratio of over 8 to 1 and providing a leading indicator of the Company's revenue growth potential. Q3 revenue reached $522,683 USD, reflecting continued strong sales of both retail and security solutions." Hutton added, "Further encouraging is that Q4 revenue is already considerably ahead of Q3 results and we are anticipating a strong finish to this calendar year." Since the end of Q3 the Company has seen a significant increase in the exercise of its previously issued Warrants, resulting in cash inflows of over $2.8 million USD.

In 2010, Microsoft's Kinect smart camera recognized you and logged you in to your Xbox. Now Microsoft is applying the same principles to meetings, announcing support for a future lineup of intelligent cameras that will zoom in and highlight you in hybrid meetings. Support for intelligent cameras in Microsoft Teams is just part of several announcements Microsoft made Thursday regarding the future of so-called hybrid work, where employees navigate between working at home and in the office. New features include the ability to tell coworkers whether you'll be working from home or in the office via Outlook, be it your weekly schedule or an RSVP for a specific meeting, and to stream video of yourself as you present a PowerPoint presentation. Intelligent meeting cameras represent the evolution of Microsoft's approach to hybrid work.

UCLA engineers have made major improvements on their design of an optical neural network -a device inspired by how the human brain works - that can identify objects or process information at the speed of light. The development could lead to intelligent camera systems that figure out what they are seeing simply by the patterns of light that run through a 3D engineered material structure. Their new design takes advantage of the parallelization and scalability of optical-based computational systems. For example, such systems could be incorporated into self-driving cars or robots, helping them make near-instantaneous decisions faster and using less power than computer-based systems that need additional time to identify an object after it's been seen. The technology was first introduced by the UCLA group in 2018.

The development could lead to intelligent camera systems that figure out what they are seeing simply by the patterns of light that run through a 3D engineered material structure. Their new design takes advantage of the parallelization and scalability of optical-based computational systems. For example, such systems could be incorporated into self-driving cars or robots, helping them make near-instantaneous decisions faster and using less power than computer-based systems that need additional time to identify an object after it's been seen. The technology was first introduced by the UCLA group in 2018. The system uses a series of 3D-printed wafers or layers with uneven surfaces that transmit or reflect incoming light -- they're reminiscent in look and effect to frosted glass.

There are eyes on you, behind the bright lights and mirrored panels. Pick up a boot and a camera will make sure you don't slip it into your bag. Cross the threshold into a department store and there is a tacit understanding that you will be watched, but new technology is leading retailers to grow a different set of peepers – eyes less focused on shoplifting and more interested in your age, sex, size, head, shoulders, knees and toes. A few months ago, IT firm Computer Sciences Corporation (CSC) put out a report that claimed around 30% of retailers use facial recognition technology to track customers in-store. It is technology that can identify people by analysing and comparing facial features from a database.