Information Technology


Software robots' workforce contributions will increase 50% in the next 2 years

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No, the robots are not coming for your job as they ready to take over the world ... yet. But the future of the world's workforce will mark a significant shift and work will be heavily reliant on the teamwork of human and machine, noted the just-released IDC white paper, Content Intelligence for the Future of Work. And we're not quite in sci-fi film territory either, said Holly Muscolino, research vice president of content and process strategies and the future of work at IDC. "A software robot (or'digital worker') is essentially a software program that automates a task that has previously been accomplished by a human worker," Muscolino explained. "The term'robot' is used to signify the role that these software solutions play in automation, however, beyond that, there is no relationship between a software robot and the physical robots that we may see on the manufacturing line, patrolling supermarket aisles on starring in'Star Wars'' movies." Muscolino added, "A variety of software technologies are classified as'digital workers.' The technology gaining the most airtime today is robotic process automation (RPA), but other automation technologies, and AI-enabled technologies, like digital assistants and chatbots, are also classified as'digital workers'."


11 Cybersecurity Predictions for 2020 - Security Boulevard

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It's been another eventful year for cyber attacks. More than 4 billion records have been breached so far – and we're not even to the end of the year yet! But 2019 will soon be behind us. It's now time to look toward 2020 and speculate on what will transpire next in the ongoing cybersecurity battle. What new and evolving technologies will be at the forefront of cybersecurity?


Nvidia's Clara to help hospitals with radiology AI at the edge

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Nvidia unveiled a new federated learning edge computing reference application for radiology to help hospitals crunch medical data for better disease detection while protecting patient privacy. Called Clara Federal Learning, the system relies on Nvidia EGX, a computing platform which was announced earlier in 2019. It uses the Jetson Nano low wattage computer which can provide up to one-half trillion operations per second of processing for tasks like image recognition. EGX allows low-latency artificial intelligence at the edge to act on data, in this case images from MRIs, CT scans and more. Nvidia made its announcement of Clara on Sunday at the Radiological Society of North America conference in Chicago.


Apple Co-Founder Steve Wozniak On Technology, AI and Innovation in Banking

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While optimistic about the future, Steve Wozniak is not ready to turn over his identity (nor his Tesla) to artificial intelligence anytime soon. At a conference in Budapest I attended, he referenced deleting his Facebook account because of privacy concerns, and that he no longer believes that a totally autonomous car will happen in his lifetime. But Wozniak retains the passion and enthusiasm for technology and innovation that made him a household name as Apple's co-founder. When he and Steve Jobs started Apple, they were trying to develop a new kind of computer that would improve the user experience beyond what was available at the time. Today, "The Woz" is a brilliant engineer, who keeps his eye on what is happening in technology, digital transformation and entrepreneurship.


Apple Co-Founder Steve Wozniak On Technology, AI and Innovation in Banking

#artificialintelligence

While optimistic about the future, Steve Wozniak is not ready to turn over his identity (nor his Tesla) to artificial intelligence anytime soon. At a conference in Budapest I attended, he referenced deleting his Facebook account because of privacy concerns, and that he no longer believes that a totally autonomous car will happen in his lifetime. But Wozniak retains the passion and enthusiasm for technology and innovation that made him a household name as Apple's co-founder. When he and Steve Jobs started Apple, they were trying to develop a new kind of computer that would improve the user experience beyond what was available at the time. Today, "The Woz" is a brilliant engineer, who keeps his eye on what is happening in technology, digital transformation and entrepreneurship.


Now Available on Amazon SageMaker: The Deep Graph Library Amazon Web Services

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Today, we're happy to announce that the Deep Graph Library, an open source library built for easy implementation of graph neural networks, is now available on Amazon SageMaker. In recent years, Deep learning has taken the world by storm thanks to its uncanny ability to extract elaborate patterns from complex data, such as free-form text, images, or videos. However, lots of datasets don't fit these categories and are better expressed with graphs. Intuitively, we can feel that traditional neural network architectures like convolution neural networks or recurrent neural networks are not a good fit for such datasets, and a new approach is required. A Primer On Graph Neural Networks Graph neural networks (GNN) are one of the most exciting developments in machine learning today, and these reference papers will get you started.


The Human-Centric Rise of Artificial Intelligence in Healthcare Lenovo StoryHub

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Dressing one morning, as she usually does, Jane notices a strange skin discoloration on her arm. Still smaller than a dime, but she swears it used to be half that size and certainly more symmetrical. She asks her virtual assistant to scan the area and assess. A camera built into her bathroom mirror fires up, captures photos, and checks them against archival images from Jane's entire photo library. Jane was right; something is wrong.


Implications of Financial Artificial Intelligence

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Artificial intelligence has had a profound impact on finance. In the span of a few decades, it has made finance faster, more accessible, more profitable, and more efficient in many ways. Despite all the significant benefits made possible by financial artificial intelligence, it also presents serious risks and implications for law, business, and society. My recent article, 'Artificial Intelligence, Finance, and the Law', published in the Fordham Law Review, offers a study of those risks and implications. It provides a broad examination of the inherent risks and larger implications of financial artificial intelligence.


Access and Embrace the Future through AI - insideBIGDATA

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Like it or not, AI will soon infiltrate every aspect of our society from our refrigerators to autonomous cars and everything in between. Combined with data and data science, AI offers new, smart ways to solve existing problems and create fresh and exciting opportunities. But how do you determine the importance of an AI initiative for your organization and how do you ensure you derive the maximum benefit from implementing such projects? By identifying business needs and viewing AI and data science as a means to fulfilling those needs, IT professionals and data scientists can communicate the value and transformational affect AI can bring to the organization. To begin, think of AI as an experiment rather than a pilot project.


Deepfakes' Next Stop: Banking PYMNTS.com

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The rise of deepfakes -- the eerily lifelike impersonations that superimpose heads onto bodies and bodies onto heads in seamless ways that integrate speech and movement, where nothing is as it seems -- may be good for a laugh. Right now, they're fodder for viral videos that spur a bit of shock and a bemused "how did they do that?" But the stats show the rise of a cottage industry (now focused on political figures, celebrities and, perhaps predictably, pornography) that could become a cybersecurity challenge, as seen from an identity verification perspective. Research from cybersecurity firm Deeptrace shows there were nearly 14,700 deepfake videos online as of November of this year, compared to nearly 8,000 in December 2018. Other studies show that deepfakes can be created with a relatively small amount of "input" material, such as videos or pictures, tied to algorithms.