The state of Washington has made it legal for law enforcement and other state agencies to use facial recognition. The new law makes Washington the first state in the US to legalize facial recognition software for government business. Facial recognition has been used by a number of law enforcement agencies at the city and county level, but it has never been formally legalized at either the state or federal level. Washington has become the first state in the US to officially legalize facial recognition software for law enforcement, which it says will be limited to finding missing persons, identifying the deceased, and'for the purposes of keeping the public safe' According to the law, facial recognition will be limited to a handful of uses, including efforts to'locate or identify missing persons, and identify deceased persons, including missing or murdered indigenous women, subjects of Amber alerts and silver alerts, and other possible crime victims, for the purposes of keeping the public safe.' Agencies that want to use facial recognition technology will have to file a notice of intent with the state government along with an accountability report that details how and why they need the technology, according to a report in InfoSecurity.

One of the most satisfying aspects of working at Cisco is tackling a thorny problem of engineering or computational science, and seeing your work reflected in a global standard or a shipping product within a few years. In wireless networking in particular, we have teams on the leading edge of research, software and hardware engineering, and on applying AI to wireless systems. There are many interesting problems our engineers have solved. But there are many we still haven't. I was recently asked to present to a National Science Foundation workshop on "Future Wireless Research Challenges."

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A preprint paper coauthored by researchers at Microsoft, the Indian Institute of Technology, and TCS Research (the R&D division of Tata Consultancy Services) describes an AI framework designed to help cities and regions make policy decisions about lockdowns, closures, and physical distancing in response to COVID-19. They claim that because it learns policies automatically as a function of disease parameters like infectiousness, gestation period, duration of symptoms, probability of death, population density, and movement propensity, it's superior to the modeling tools that have thus far been used. If the peer-review process bears out the researchers' claims, the framework could be of use to organizations and governments in the nearly 200 countries with cases of the coronavirus. Asian nations including Singapore and Taiwan have demonstrated that containment strategies like contact tracing, or the process of identifying people who may have come into contact with an infected person, can effectively mitigate COVID-19's spread. The coauthors first generated a graph network -- a model containing objects in which some pairs are related, such that the objects correspond to vertices and each pair of vertices is called an edge -- with 100 nodes and 1,000 individuals.

In a paper published in the journal Nature Physics, DeepMind researchers describe an AI system that can predict the movement of glass molecules as they transition between liquid and solid states. The techniques and trained models, which have been made available in open source, could be used to predict other qualities of interest in glass, DeepMind says. Beyond glass, the researchers assert the work yields insights into general substance and biological transitions, and that it could lead to advances in industries like manufacturing and medicine. "Machine learning is well placed to investigate the nature of fundamental problems in a range of fields," a DeepMind spokesperson told VentureBeat. "We will apply some of the learnings and techniques proven and developed through modeling glassy dynamics to other central questions in science, with the aim of revealing new things about the world around us." Glass is produced by cooling a mixture of high-temperature melted sand and minerals.

Experts around the globe claim that artificial intelligence is an inseparable part of the future business, public sector and especially, national security. But this fact does not imply that AI should be, or could be, implemented quickly and successfully. According to Daniel Newman, Principal Analyst, and Founder at Futurum Research, there are several factors that are hampering the penetration of this technology in numerous industries and fields due to the difficulties they pose to organizations interested in taking this digital leap i.e lack of future vision, fear of job loss, etc. Similarly, anyone who has ever watched any Iron Man movie knows that its principal character, Tony Stark, relies heavily on Jarvis, an advanced Artificial Intelligence system designed to manage almost "everything" in his life, especially in the fight against crime. We might be considering this a far-fetched reality but it could actually be closer than we think when it comes to national security.

Artificial Intelligence has emerged as a powerful tool in the time to fight against Covid-19. The technology is used to train computers to leverage big data-enabled models for pattern recognition, interpretation, and prediction using Machine Learning, NLP and Computer Vision. These applications can be effective to diagnose, envision, and treat Covid-19 disease, and they can also assist in managing socio-economic impacts. Since the pandemic spreads quickly, there has been a rush to explore and deploy AI to cure and address the soaring demand of patient treatment infected by Coronavirus. In this regard, Partners HealthCare, a Boston-based non-profit hospital and physician network, had conducted a chat through the hotline for patients, clinicians, and others with questions and concerns about Covid-19.

Emergent Insight: It can be difficult to find bright spots in the midst of a global pandemic but the eruption of new technology solutions to problems associated with the battle against the virus is remarkable. It can take a tragedy to shine a light on the greatest needs of a society and now companies and innovators are identifying connections between problems and shortages and using their strengths to answer the call. This will make us better prepared for next global challenge. Original Article: Image above: HP (3D printed parts for a mechanical bag valve mask (BVM) that is designed for use as a short-term emergency ventilation of COVID-19 patients. This simplified design enables a robust and less-complex device, facilitating its rapid production and assembly.)

If you can recall February, we dug into the question of AI startup gross margins. Venture shop a16z had published an interesting blog on the subject, arguing that it may be the case that AI-focused startups will enjoy strong gross margins, but perhaps not as strong as those posted by SaaS companies. Modern software startups (SaaS companies) have some of the highest gross margins in business, delivering their digital services over the Internet at little cost. Their high-margin revenue has made them incredibly valuable to private and public investors alike. To see a16z draw a line for AI gross margins a little under SaaS, then, was notable.