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Why leaders should be using AI in their businesses right now

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Artificial Intelligence is no new concept. The phrase was first coined by John McCarthy in 1956[1], when he invited a group of researchers to discuss the notion of'thinking machines' during a conference at Dartmouth College. Since then, it has been a point of fascination for scientists, academics, software developers, and moviemakers alike. Fast-forward to today where you'll find lots of examples hiding in plain sight. From digital assistants like Amazon's Alexa or Apple's Siri, who use AI to learn from user interactions, to automated email responses and search engines predicting what you're looking for.


Innovation Trailblazers Webinar Mini Series - Digital Transformation 2.0 Acceleration Frameworks - 2021 - Silicon Valley Insurance Accelerator

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This series defines that environment & provides a framework to align current efforts with a 2.0 Future. What are the 2.0 Underwriting Requirements? How are new data sources, machine learning and AI, and RPA automation being used to address them? How does that change digital transformation efforts. One of InsurTech's top influencers, author, speaker and consultant in connected insurance, innovation, transformation and leadership.


New institute aims to unlock the secrets of corn using artificial intelligence

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Iowa State University researchers are growing two kinds of corn plants. If you drive past the many fields near the university's campus in Ames, you can see row after row of the first. But the second exists in a location that hasn't been completely explored yet: cyberspace. The researchers, part of the AI Institute for Resilient Agriculture, are using photos, sensor data and artificial intelligence to create "digital twins" of corn plants that, through analysis, can lead to a better understanding of their real-life counterparts. They hope the resulting software and techniques will lead to better management, improved breeding, and ultimately, smarter crops.


3 Ways To Improve Cybersecurity In Your AI Infrastructure

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AI models, applications and systems are not impervious to cyber-attacks. So, organizations must make efforts to protect their AI infrastructure from such threats. A secure AI infrastructure bodes well for the future of your organization's association with intelligent technology. Due to its obvious list of benefits, the dependence of all types of businesses on AI has increased greatly in the last decade or so. Unfortunately, the heavy reliance on AI also becomes a weakness for businesses, especially when you consider the possibility of cyber-attacks that can affect their AI infrastructure.


Department of Commerce Establishes National Artificial Intelligence Advisory Committee - Hstoday

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U.S. Secretary of Commerce Gina Raimondo announced Wednesday that the Commerce Department has established a high-level committee to advise the president and other federal agencies on a range of issues related to artificial intelligence (AI). Working with the National AI Initiative Office (NAIIO) in the White House Office of Science and Technology Policy (OSTP), the department is now seeking to recruit top-level candidates to serve on the committee. A formal notice describing the National Artificial Intelligence Advisory Committee (NAIAC) and the call for nominations for the committee and its Subcommittee on Artificial Intelligence and Law Enforcement appear in the Federal Register published today. With AI already changing how society addresses economic competitiveness, national security challenges, and equitable opportunities, the National Institute of Standards and Technology (NIST) and its researchers are dedicated to ensuring AI technologies are developed and used in a trustworthy and responsible manner that allows for accuracy, security, explainability and interpretability, reliability, privacy, safety, and the mitigation of bias. Trustworthy data, standards, and integration of machine learning and AI in applications are critical for the successful deployment of new technologies and the identification and mitigation of sources of algorithmic bias.


Advantages and Disadvantages of Artificial Intelligence: How To Use AI in Your Business

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Artificial intelligence (AI) has virtually unlimited applications that are part of our everyday life. It offers countless solutions across all industries. Artificial intelligence is a major market player in the business world. AI plays a key role in data analysis, marketing, finance, business, advertising, medicine, technology, science and engineering where machines are learning from stimuli and reacting in ways more human than ever before. Artificial intelligence has several advantages and disadvantages, so it's important to know how to use it to maximize its potential within your organization.


US must not only lead in artificial intelligence, but also in its ethical application

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Artificial intelligence (AI) is sometimes referred to as a herald of the fourth industrial revolution. That revolution is already here.


FIFA 22's HyperMotion is 'the beginning of machine learning taking over animation'

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As Sam Rivera explained it to me, the success of FIFA 22's new animation technology will be seen in what wasn't recorded during a groundbreaking motion-capture session -- involving 22 players all playing a start-to-finish game of soccer -- earlier this year. "We started working on an algorithm about three years ago," explained Rivera, FIFA 22's lead gameplay producer at EA Vancouver. "What that algorithm is doing is learning from all the data for that motion capture shoot -- how the players approach the ball, how many steps do they do to get to the ball, is it three long steps and one short step; what is the proper angle, with the proper cadence, to properly hit that ball?" Then, Rivera says, "it creates that solution, it creates the animation in real time. That is very, very cutting-edge technology. This is basically the beginning of machine learning taking over animation."


China's new proposed law could strangle the development of AI

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The proposed law mandates that companies must use algorithms to "actively spread positive energy." Under the proposal, companies must submit their algorithms to the government for approval or risk being fined and having their service terminated. This is an incredibly bad and even dangerous idea. It's what happens when people who don't understand AI try to regulate AI. Instead of fostering innovation, governments are looking at AI through their unique lenses of fear and trying to reduce the harm they worry about most. Thus, western regulators focus on fears such as violation of privacy, while Chinese regulators are perfectly okay with collecting private data on their citizens but are concerned about AI's ability to influence people in ways deemed undesirable by the government.


Council Post: How AI Will Drive The Precision Health Research Revolution Through 2030

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Praduman Jain is CEO and founder of Vibrent Health, a digital health technology company powering the future of precision medicine. There has been quite a bit of hype over the last several years about how artificial intelligence (AI) would transform health care. Translating the predictive power of AI algorithms into research methods and clinical practice, however, has proved challenging, which inevitably leads to disillusionment. But rather than getting frustrated with AI and machine learning, I would argue that strategic and ethical deployment of artificial intelligence will, by necessity, be central to the success of precision health research over the next decade. Several factors are coming together to make AI more critical to progress.