Vector will use artificial intelligence to predict power outages during storms in Auckland

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Vector is going to start using artificial intelligence to predict where storms will cause power outages. The Auckland lines company has partnered with IBM to pilot the new system, a first for the country, next month. It uses satellite imagery and artificial intelligence to show areas where trees might be encroaching on power lines. It can then suggest the locations most at risk of outages. Vector already uses artificial intelligence to manage electricity demand and network data across its network, since it partnered with Israeli technology company mPrest in 2017.


Robot Wars and Skynet: Is Sci-Fi Becoming Our Reality?

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ROBOT WARS AND SKYNET: IS SCI-FI BECOMING OUR REALITY? – PART 1 My Interest In Robotics And Nanotechnology, US Military UAVs/Drones And Robotic Vehicles, The Civilian Casualties Controversy, DARPA, The Darpa Urban Challenge, Roboticist William L. Whittaker, The Lunar X Prize Competition, The Positive And Negative Contributions Of Modern Technology, Wicked Heart Of Man, George W. Bush And Illegal Invasion Of Iraq, Destruction Wrought In Iraq, Americans And Body Bags, American Casualties From The Iraq War, DARPA's Aim: Protect People On The Battlefield, Remote Killing And Robots On The Battlefield Are The Wave Of The Future, Masters Of Science Fiction: Jerry Was A Man, Future Wars Fought with Automated Machines, Secret Robot Wars With No More Accountability To The Public, Callous American Public, America Was Founded On War, America Survives And Expands Her Empire Through War And Shrewd Economic Policies, Government Propaganda Machines And Malleable Gullible Public, Shock And Awe Wars, Are AI-Enabled Robot Wars In Our Future?, Current Advancements In Robotics, "Terminator" Movies And SkyNet, Will Artificial Intelligence Become A Threat?, Huge Investment in AI By The U.S. Military, The Joint Artificial Intelligence Center And Super Soldiers, Warnings From Stephen Hawking And Elon Musk, Go Down Fighting ROBOT WARS AND SKYNET: IS SCI-FI BECOMING OUR REALITY? – PART 2


A robot with a firm yet gentle grasp

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Human hands are remarkably skilled at manipulating a range of objects. We can pick up an egg or a strawberry without smashing it. We can hammer a nail. One characteristic that allows us to perform a variety of tasks is the ability to alter the firmness of our grip, and University at Buffalo engineers have developed a two-fingered robotic hand that shares this trait. The design of the robotic hand enables it to absorb energy from impacts during collisions.


Machine Learning Tips From Booz Allen: Minimizing Pitfalls, Maximizing Performance

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"Some of the deep learning neural networks require tremendous amounts of computing power to train the systems," Elliot said. Properly planning for and designing an infrastructure that can support your specific environment's computational processing and storage requirements is critical to attaining AI's benefits. Furthermore, organizations may start too big, have the wrong data, or have a lot of data that's unusable, he said. Getting data assets and capabilities in place will deliver a huge lift to any planned AI project. Take a look at your talent.


The Growing Role of Machine Learning in Cybersecurity - SecurityRoundTable.org

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Why has machine learning become so critical to cybersecurity? With machine learning, cybersecurity systems can analyze patterns and learn from them to help prevent similar attacks and respond to changing behavior. Machine learning helps cybersecurity teams be more pro-active in preventing threats and responding to active attacks in real time. Machine learning can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. In short, machine learning can make cybersecurity simpler, more proactive, less expensive and far more effective.


AI IN MEDICAL DIAGNOSIS: How top US health systems are reacting to the disruptive force of AI by revolutionizing diagnostic imaging, clinical decision support, and personalized medicine

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AI is rocking medical diagnosis with its potential to incite drastic improvements to hospital processes. AI can process images and patient health records with more accuracy and expediency than humans are capable of, lessening physician workload, reducing misdiagnosis, and empowering clinical staff to provide more value. While early moving hospitals are already extracting value from AI in medical diagnosis, most US hospitals are at the very early stage of the AI transformation curve -- and they risk falling behind if they don't move now. In this report, Business Insider Intelligence examines the value of AI applications in three high-value areas of medical diagnosis -- imaging, clinical decision support, and personalized medicine -- to illustrate how the tech can drastically improve patient outcomes, lower costs, and increase productivity. We look at US health systems that have effectively applied AI in these use cases to illustrate where and how providers should implement AI.


Artificial intelligence will be big, so prepare

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It seems like artificial intelligence is taking over the world, leaving many of us non-techies feeling terrified. Yet when you stop to think about it, we all use artificial intelligence (AI) every day. When we Google something, use Siri on our smartphones or ask Alexa a question, we are using AI. Hollywood has certainly featured AI in many movies from "The Terminator" series to "Robocop" and "I, Robot." In "Minority Report," algorithms predict who is going to commit a crime, and the person is arrested before the crime can be committed.


5 Reasons Why Your CMO Needs Artificial Intelligence Now - Heidi Cohen

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Do you know why your CMO needs artificial intelligence NOW? Because: CMOs must show measurable financial results for the budget they invested! Wonder how AI relates to financial results? I'm not surprised since the answer may not be obvious. With an ever-increasing number of smart devices, apps and methods, consumers have more and more ways to get information and create content digitally. In the process, they create an explosion of data for marketers to track and analyze.


The future of work in America: People and places, today and tomorrow

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The US labor market looks markedly different today than it did two decades ago. It has been reshaped by dramatic events like the Great Recession but also by a quieter ongoing evolution in the mix and location of jobs. In the decade ahead, the next wave of automation technologies may accelerate the pace of change. Millions of jobs could be phased out even as new ones are created. More broadly, the day-to-day nature of work could change for nearly everyone as intelligent machines become fixtures in the American workplace. Until recently, most research on the potential effects of automation, including our own, has focused on the national-level effects. Our previous work ran multiple scenarios regarding the pace and extent of adoption. In the midpoint case, our modeling shows some jobs being phased out but sufficient numbers being added at the same time to produce net positive job growth for the United States as a whole through 2030.


Microsoft Vision AI Developer Kit Simplifies Building Vision-Based Deep Learning Projects

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For the Vision AI Developer Kit, Microsoft and Qualcomm have partnered to simplify training and deploying computer vision-based AI models. Developers can use Microsoft's cloud-based AI and IoT services on Azure to train models while deploying them on the smart camera edge device powered by a Qualcomm's AI accelerator. Let's take a close look at Vision AI Developer Kit. The Vision AI Developer Kit not only looks stylish and sophisticated, but also boasts of an impressive configuration. The kit is powered by a Qualcomm Snapdragon 603 processor, 4GB of LDDR4X memory and 16GB of eMMC storage.