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Justice Dept. scrambles to jam prison cellphones, stop drone deliveries to inmates

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The Justice Department will soon start trying to jam cellphones smuggled into federal prisons and used for criminal activity, part of a broader safety initiative that is also focused on preventing drones from airdropping contraband to inmates. Deputy Attorney General Rod J. Rosenstein told the American Correctional Association's conference in Orlando on Monday that, while the law prohibits cellphone use by federal inmates, the Bureau of Prisons confiscated 5,116 such phones in 2016, and preliminary numbers for 2017 indicate a 28 percent increase. "That is a major safety issue," he said in his speech. "Cellphones are used to run criminal enterprises, facilitate the commission of violent crimes and thwart law enforcement." When he was the U.S. attorney in Maryland, Rosenstein prosecuted an inmate who used a smuggled cellphone to order the murder of a witness.

Zipline Expands Its Medical Delivery Drones Across East Africa

IEEE Spectrum

While companies like Amazon pour considerable resources into finding ways of using drones to deliver such things as shoes and dog treats, Zipline has been saving lives in Rwanda since October 2016 with drones that deliver blood. Zipline's autonomous fixed-wing drones now form an integral part of Rwanda's medical-supply infrastructure, transporting blood products from a central distribution center to hospitals across the country. And in 2018, Zipline's East African operations will expand to include Tanzania, a much larger country. Delivering critical medical supplies in this region typically involves someone spending hours (or even days) driving a cooler full of life-saving medicine or blood along windy dirt roads. Such deliveries can become dangerous or even impossible to make if roads and bridges get washed out.

Incident Management for IoT @ThingsExpo @PagerDuty #AI #IoT #M2M #API


All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.

The Deep Learning Market Map: 60 Startups Working Across E-Commerce, Cybersecurity, Sales, And More


New York-based Calrifai -- backed by investors including Google Ventures, Lux Capital, and NVidia -- entered the R/GA accelerator this year, after raising $10M in Series A in Q2'15. BI, Sales & CRM: Applications here include voice analytics to extract information from calls, automated customer response solutions, business data analytics, and sales targeting. To name a few, Palo Alto-based Mariana raised $2M in seed money from investors including Blumberg Capital; London-based True AI, previously seed funded by Entrepreneur First, entered the Microsoft Ventures Accelerator in Q3'16; another UK-based startup, Ripjar, raised funds from Winton Ventures in Q2'16. Three startups in the private sector using AI in e-commerce raised funding rounds this year: Reflektion raised $18M in Q1'16 from investors including Intel Capital, Battery Ventures, and Marc Benioff; ViSenze raised $10.5M in Series B from investors including Rakuten Ventures, Enspire Capital, and Phillip Private Equity; India-based Staqu raised angel funds in Q2'16.

What artificial intelligence will look like in 2030


Over the next 15 years, AI technologies will continue to make inroads in nearly every area of our lives, from education to entertainment, health care to security. "Now is the time to consider the design, ethical, and policy challenges that AI technologies raise," said Grosz. The report investigates eight areas of human activity in which AI technologies are already affecting urban life and will be even more pervasive by 2030: transportation, home/service robots, health care, education, entertainment, low-resource communities, public safety and security, employment, and the workplace. Some of the biggest challenges in the next 15 years will be creating safe and reliable hardware for autonomous cars and health care robots; gaining public trust for AI systems, especially in low-resource communities; and overcoming fears that the technology will marginalize humans in the workplace.



Gartner states that its predictions "examine three fundamental effects of continued digital innovation", comprising experience and engagement, business innovation and secondary effects resulting from increased digital capabilities. By 2020, algorithms will positively alter the behaviour of more than 1 billion global workers: algorithms can positively alter human behaviour, augmenting human intelligence with the large collective memory bank containing knowledge that has been socialised and put to the test, with this to help workers "remember" anything or be informed of just-in-time knowledge they have never even experienced, leaving them to objectively complete the task at hand, while also better appreciating life as it unveils. Through 2020, IoT will increase data centre storage demand by less than 3 per cent: of the roughly 900 exabytes of data centre hard-disk drive and solid-state drive capacity forecast to ship in 2020, IoT discrete sensor storage will represent only 0.4 per cent, with storage from multimedia sensors consuming another 2 per cent, indicating IoT can scale and deliver important data-driven business value and insight while remaining manageable from a storage infrastructure standpoint. By 2020, 40 per cent of employees can cut their healthcare costs by wearing a fitness tracker: companies will increasingly appoint fitness program managers, working closely with human resource leaders, including fitness trackers in wellness programs as part of a broader employee engagement initiative.


International Business Times

In the study, a team of British and American researchers said it had used an AI system to correctly predict the outcomes of hundreds of cases heard at the European Court of Human Rights. The AI, which analyzed 584 English language case texts related to Article 3, 6 and 8 of the European Convention on Human Rights using a machine learning algorithm, came to the same verdict as human judges in 79 percent of the cases. It could also be a valuable tool for highlighting which cases are most likely to be violations of the European Convention on Human Rights," lead researcher Nikolaos Aletras, also from UCL, noted in the statement. "It could also be a valuable tool for highlighting which cases are most likely to be violations of the European Convention on Human Rights."

AI, machine learning top Gartner's 10 tech trends in 2017


IBM's virtual health care assistant powered by Watson, which has memorized most of the world's medical journals and texts, is an example of this. Enterprise is already feeling the impact of AI assistants like IBM's Watson health care tool, but Gartner says these systems will become more "conversational." Powered by machine learning and AI, such systems will learn how to adapt to humans and vice versa. Gartner believes five major focal points will enable the new capabilities and business models of digital business, including information systems, customer experience, analytics and intelligence, the IoT, and business ecosystems.

Pittsburgh's AI Traffic Signals Will Make Driving Less Boring


Traffic congestion costs the U.S. economy 121 billion a year, mostly due to lost productivity, and produces about 25 billion kilograms of carbon dioxide emissions, Carnegie Mellon University professor of robotics Stephen Smith told the audience at a White House Frontiers Conference last week. In urban areas, drivers spend 40 percent of their time idling in traffic, he added. The next step is to have traffic signals talk to cars. Pittsburgh is the test bed for Uber's self-driving cars, and Smith's work on AI-enhanced traffic signals that talk with self-driving cars is paving the way for the ultimately fluid and efficient autonomous intersections.

How artificial intelligence, machine learning can lessen breach risks


In 1996 the Health Insurance Portability and Accountability Act (HIPAA) was enacted. The Accountability portion of the law requires that healthcare providers protect the privacy of patient health information and includes security measures that must be followed. Provider success has been mixed and has recently come under intense scrutiny due to the number and size of reportable breaches of health information.