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Agencies Are Embracing AI and Making It Part of Their Workflow
A little over a year later, the division's role has changed considerably, according to R/GA chief technology officer Nick Coronges. While it has certainly created campaigns with explicit AI elements--a chatbot for the Cosmopolitan of Las Vegas, for instance--the agency has found the tech to be of much more use in the behind-the-scenes workflow of its operations across the board. "It's changed a lot," Coronges said. "While the original launch made a lot of sense to get the agency rallied around this technology quickly … our mission now is really to have data strategists and engineers plugged into all the work we do, rather than be a separate door into the agency." This evolution mirrors a broader shift in how ad agencies are treating AI and data science.
Air Force unveils artificial intelligence strategy - Homeland Preparedness News
Air Force officials said the recent release of the branch's Artificial Intelligence Strategy emphasizes the importance of artificial intelligence capabilities to 21st-century missions. "The Air Force is charged to provide the nation with Air and Space Superiority, Global Strike, Rapid Global Mobility, Intelligence, Surveillance and Reconnaissance and Command Control," Matthew Donovan, acting secretary of the Air Force, and Air Force Chief of Staff General David Goldfein said in the dual-signed annex. "Al is a capability that will underpin our ability to compete, deter, and win across all five of these diverse missions. It is crucial to fielding tomorrow's Air Force faster and smarter, executing multi-domain operations in the high-end fight, confronting threats below the level of open conflict, and partnering with our allies around the globe." The effort provides definition, context, and purpose for artificial intelligence in the Air Force and is the annex to the Department of Defense Artificial Intelligence Strategy.
The Importance Of Value Abstraction In Artificial Intelligence For Business Leaders
The same types of abstraction that we've seen in software applications and databases are fueling the rapid growth of the AI ecosystem. AI development is progressively getting partitioned into core AI (software platforms and tools) and applied AI (business applications and use cases). Core AI development is concentrated among the big technology players, sometimes called the GMAFIA in the U.S. (Google, Microsoft, Amazon, Facebook, Intel, and Apple) and BAT in China (Baidu, Alibaba, and Tencent). These players, along with open source communities, are offering vast libraries of AI software algorithms and tools accessible through APIs. For instance, speech to text translation tools are available from Google (Google Cloud Speech API), IBM (IBM Watson Speech to Text), Microsoft (Azure Bing Speech API), and Amazon (Amazon Polly).
High-tech ways to keep employees happy
Half-price cinema tickets, cycle to work schemes and gym passes have long been part of employee benefits programmes. But with research showing 84% of millennials look to leave their jobs within the first two years, employers want to tailor their perks packages to their employees' needs. Emerging technologies such as data analytics, chatbots, and wearables can help employers know which benefits resonate with employees. And machine learning can monitor take-up and avoid wasting money on unwanted benefits. "From an employer perspective, there is already a lot more emphasis on looking at data to see what benefits employees are using," says Jeanette Makings, head of financial education at merchant bank Close Brothers.
Imported self-driving shuttles have an edge over their U.S. rivals
Two of Local Motors' competitors -- EasyMile and Navya -- import their vehicles from France and are able to get exemptions for R&D purposes. Local Motors is petitioning the National Highway Traffic Safety Administration, complaining that "smaller, innovative American vehicle manufacturers" like themselves are at a disadvantage, hindering competitiveness and endangering American leadership in autonomy and new technology development. "American companies creating American jobs building American cars have a higher bar to get vehicles on the road for purposes of research and testing than foreign companies importing vehicles," David Woessner, head of regulatory affairs for Local Motors, tells Axios. "The technology is moving faster than the regulatory environment can keep up with," adds Randell Iwasaki, executive director of Contra Costa Transportation Authority, which is trying to deploy both U.S. and foreign-made shuttles on public roads. Two of Local Motors' competitors -- EasyMile and Navya -- import their vehicles from France and are able to get exemptions for R&D purposes.
Meet Five Synthetic Biology Companies Using AI To Engineer Biology
AI is changing the field of synthetic biology and how we engineer biology. It's helping engineers design new ways to design genetic circuits -- and it could leave a remarkable impact on the future of humanity TVs and radios blare that "artificial intelligence is coming", and it will take your job and beat you at chess. But AI is already here, and it can beat you -- and the world's best -- at chess. In 2012, it was also used by Google to identify cats in YouTube videos. Today, it's the reason Teslas have Autopilot and Netflix and Spotify seem to "read your mind."
Voice Recognition Market Size, Share, Growth, Trends, Analysis and Forecast 2018 to 2026 Credence Research
According to a new market report published by Credence Research Inc., "Global Voice Recognition Market (By Components (Hardware and Software), By Application (Artificial Intelligence and Non-Artificial Intelligence), By End-Use Vertical (Automobile, BFSI, Consumer, Government, Healthcare, Home, Security & Automation, and Others))- Growth, Share, Opportunities, Competitive Analysis, and Forecast 2018 – 2026", the worldwide market for voice recognition is anticipated to grow by 14.5 per cent CAGR during the 2018-2026 forecast period. Voice recognition schemes are safety solutions used to either grant or deny access to people by recognizing and matching their voice patterns. More and more biometric safety solutions have been deployed in the banking and finance sectors to improve safety and customer experience. Government agencies and businesses across the globe, on the other side, are adopting biometric techniques to thwart safety threats. Increased incidences of fraud in multiple industries and enhanced adoption of mobile banking, particularly among e-commerce distributors, are anticipated to drive the global voice recognition market.
Verizon 5G for V2I at Mcity Autonomous Track
Verizon is working with Mcity at the University of Michigan to advance transportation safety and shape the future of autonomous vehicles and smart cities using 5G. The Verizon 5G Ultra Wideband network is now live at the Mcity Test Facility where we are testing various 5G solutions designed to boost pedestrian safety and avoid car accidents. This includes installing 5G-connected cameras at every intersection inside the Mcity test track to help identify traffic and pedestrian patterns to prevent collisions. While connected cars have sensors that can "talk" to each other to help avoid accidents, cameras connecting to traffic light signals can help protect people walking or biking. "We've installed signal controllers at the intersections within Mcity that provide signal phase and timing data to the 5G network," said Eric Raamot, chief technology officer at Econolite.
DeepMind's AI predicts kidney injury up to 48 hours before it happens TMG Pulse
Acute kidney injury, or AKI, is a condition in which the kidneys stop filtering waste products from the blood. It occurs quickly (in two days or less) and debilitates an estimated 1 in 5 hospitalized patients in the U.K. and 1 in 4 hospitalized patients in the U.S. Worse still, because it's difficult to detect, AKI kills upwards of 600,000 people annually in both countries combined despite the more than $1.2 billion (£1 billion) the U.K.'s National Health Service (NHS) spends treating it each year. The U.K.-based AI research firm said it's made progress toward automated systems addressing the 11% of failures to detect AKI deterioration in U.S. hospitals and the 30% of preventable cases globally. Over the course of two separate joint studies conducted with the U.S. Department of Veterans Affairs and The Royal Free London NHS Foundation Trust (RFL), DeepMind's health care division -- DeepMind Health -- investigated ways to flag AKI warning signs clinicians might otherwise fail to spot. The resulting pair of papers published in the Journal of Medical Internet Research (JMIR) and Nature Digital Medicine reveal the fruit of the organizations' labor: an algorithm that can predict the presence of AKI up to 48 hours in advance and an app that cuts missed AKI cases from 12.4% to 3.3%.