AI at the edge pioneer Sensory has upgraded its face and voice biometric fusion platform with features to help device and app developers build products for life post-COVID-19, the company announced. Since face masks are now a general recommendation, many biometric facial recognition systems, such as those in smartphones, are no longer performing because they cannot identity a user if the face is half covered, the company points out. Since many functions require facial recognition to operate, TrulySecure now claims it can recognize users when wearing masks and detect coughs and sneezes, without jeopardizing security. Sensory's SDK combines face and voice biometrics to operate in difficult scenarios such as background noise or facial obstruction. The two complement each other to ensure high accuracy and a seamless, touchless user experience.

Deep learning is a complicated process that's fairly simple to explain. A subset of machine learning, which is itself a subset of artificial intelligence, DL is one way of implementing machine learning (automated data analysis) via what are called artificial neural networks -- algorithms that effectively mimic the human brain's structure and function. And while it remains a work in progress, there is unfathomable potential. In this article, we'll briefly explain how deep learning works and introduce the best companies in 2020. Deep learning is a subcategory of machine learning methods powered by artificial intelligence technologies. These systems first develop a deep domain insight and then provide this information to the end-users in a timely, natural, and usable way.

Imagine waking up in the morning, stretching, and asking your sleeping smartphone, "Ahoy, Google, what's the weather like?" to get the local forecast. A new feature unveiled this week by mobile chip maker Qualcomm could soon make this a reality. Called Snapdragon Voice Activation, it will wake up gadgets that include the company's Snapdragon 800 processors--intended for things like high-end smartphones, tablets, and smart TVs--from standby or airplane mode once you've uttered a special voice command that phonemakers like HTC and Samsung can determine. The feature then starts up the phone's own voice-recognition software, such as Android's Google Now voice search. Such "persistent listening" technology may pick up steam as growing hordes of smartphone owners become acquainted with voice-activated search and virtual personal assistants like Google Now and Siri, and as Qualcomm and others begin adding it to chips.

It is clear and evident that robotics, Machine Learning (ML) and AI is starting to dominate the enterprise, service providers and consumer worlds for decades to come and like industrial revolution in the 50s, we are entering to perhaps another major showdown for use of technology using Artificial Intelligence and Robotics with massive amount of sensors for years to come and I predict number of sensors in entire world economy will exceed 1T by end of 2030 time-frame and this will generate level of innovation and growth in enterprises, consumers and governments which we had not seen except for industrial revolution in 20th century. World domination of sensors will begin and creates the fastest and best world economy on the planet for decades to come with applications in so many verticals it would be amazing to ride such train to see how the world will change, of course for better and provide massive quality of life for every individual on our planet. In addition, robotics driven by AI will be key drivers on how likely to shape the development of technology in the planning horizon of next 3 years and predicting what can be delivered beyond 2020 is honestly a bit tricky even though I can see the full impact even a century from now but I rather focus on what we have on our hand and get the basics right rather than bunch of ideas that may not end up to deliver the promise of both AI and robotics across the global markets. In my mind, I can see even 10 verticals that one can drive which will be compensated by both AI and robotics in years to come and simple example of this is smart cars of today to smart interstellar transportation of next century. In my opinion, technological development in artificial intelligence, computer vision, navigation, Sensory Based Technologies, and semiconductor technologies continue to drive innovation in the capability, performance, autonomy, ease of use, and cost-effectiveness of industrial and service robots.

Always-on digital assistants like "Hey Siri" and "OK Google" add an important layer of simplicity, but thus far they've not made it to laptops, mostly due to battery reasons. A new Intel partnership with Sensory is hoping to solve that. The problem with always-on voice recognition is that it requires the device to always be listening. That's at odds with the sleep functions that are so important to preserving battery life on modern laptops, so thus far, always-on assistants have for the most part stayed on smartphones. Intel's aiming to change that, thanks to a partnership with Sensory that could see customized low-power voice recognition chips coming to any Intel-powered laptop.