The reason: a dramatic improvement in analytics, cloud computing and ‘deep learning.’

On the 21st floor of a high-rise hotel in Cleveland, in a room full of political operatives, Microsoft’s Research Division was advertising a technology that could read each facial expression in a massive crowd, analyze the emotions, and report back in real time. “You could use this at a Trump rally,” a sales representative told me. At both the Republican and Democratic conventions, Microsoft sponsored event spaces for the news outlet Politico. Politico, in turn, hosted a series of Microsoft-sponsored discussions about the use of data technology in political campaigns. And throughout Politico’s spaces in both Philadelphia and Cleveland, Microsoft advertised an array of products from “Microsoft Cognitive Services,” its artificial intelligence and cloud computing division. At one exhibit, titled “Realtime Crowd Insights,” a small camera scanned the room, while a monitor displayed the captured image. Every five seconds, a new image would appear with data annotated for each face — an assigned serial number, gender, estimated age, and any emotions detected in the facial expression. When I approached, the machine labeled me “b2ff” and correctly identified me as a 23-year-old male.

“Realtime Crowd Insights” is an Application Programming Interface (API), or a software tool that connects web applications to Microsoft’s cloud computing services. Through Microsoft’s emotional analysis API — a component of Realtime Crowd Insights — applications send an image to Microsoft’s servers. Microsoft’s servers then analyze the faces and return emotional profiles for each one. In a November blog post, Microsoft said that the emotional analysis could detect “anger, contempt, fear, disgust, happiness, neutral, sadness or surprise.” Microsoft’s sales representatives told me that political campaigns could use the technology to measure the emotional impact of different talking points — and political scientists could use it to study crowd response at rallies.

Facial recognition technology — the identification of faces by name — is already widely used in secret by law enforcement, sports stadiums, retail stores, and even churches, despite being of questionable legality. As early as 2002, facial recognition technology was used at the Super Bowl to cross-reference the 100,000 attendees to a database of the faces of known criminals. The technology is controversial enough that in 2013, Google tried to ban the use of facial recognition apps in its Google glass system. But “Realtime Crowd Insights” is not true facial recognition — it could not identify me by name, only as “b2ff.” It did, however, store enough data on each face that it could continuously identify it with the same serial number, even hours later. The display demonstrated that capability by distinguishing between the number of total faces it had seen, and the number of unique serial numbers. Photo: Alex Emmons

Introducing Microsoft Project Natick, a Microsoft research project to manufacture and operate an underwater datacenter. The initial experimental prototype vessel, christened the Leona Philpot after a popular Xbox game character, was operated on the seafloor approximately one kilometer off the Pacific coast of the United States from August to November of 2015. Project Natick reflects Microsoft’s ongoing quest for cloud datacenter solutions that offer rapid provisioning, lower costs, high responsiveness, and are more environmentally sustainable. Learn more about the project from our blog http://news.microsoft.com/?p=276011 and http://www.projectnatick.com.

Microsoft has joined forces with Taser to combine the Azure cloud platform with law enforcement management tools.

Taser’s Axon body camera data management software on Evidence.com will run on Azure and Windows 10 devices to integrate evidence collection, analysis, and archival features as set forth by the Federal Bureau of Investigation Criminal Justice Information Services (CJIS) Security Policy. As per the partnership, Taser will utilize Azure’s machine learning and computing technologies to store police data on Microsoft’s government cloud. In addition, redaction capabilities of Taser will be improved which will assist police departments that are subject to bulk data requests. Currently, Taser is operating on Amazon Web Services; however this deal may entice police departments to upgrade their technology, which in turn would drive up sales of Windows 10. This partnership comes after Taser was given a lucrative deal with the Los Angeles Police Department (LAPD) last year, who ordered 7,000 body cameras equipped with 800 Axom body cameras for their officers in response to the recent deaths of several African Americans at the hands of police.

In order to ensure Taser maintains a monopoly on police body cameras, the corporation acquired contracts with police departments all across the nation for the purchase of body cameras through dubious ties to certain chiefs of police. The corporation announced in 2014 that “orders for body cameras [has] soared to $24.6 million from October to December” which represents a 5-fold increase in profits from 2013. Currently, Taser is in 13 cities with negotiations for new contracts being discussed in 28 more. Taser, according to records and interviews, allegedly has “financial ties to police chiefs whose departments have bought the recording devices.” In fact, Taser has been shown to provide airfare and luxury hotels for chiefs of police when traveling for speaking engagements in Australia and the United Arab Emirates (UAE); and hired them as consultants – among other perks and deals. Since 2013, Taser has been contractually bound with “consulting agreements with two such chiefs’ weeks after they retired” as well as is allegedly “in talks with a third who also backed the purchase of its products.”