There are really two OpenAIs. One is the creator of world-bending machines--the start-up that unleashed ChatGPT and in turn the generative-AI boom, surging toward an unrecognizable future with the rest of the tech industry in tow. This is the OpenAI that promises to eventually bring about "superintelligent" programs that exceed humanity's capabilities. The other OpenAI is simply a business. This is the company that is reportedly working on a social network and considering an expansion into hardware; it is the company that offers user-experience updates to ChatGPT, such as an "image library" feature announced last week and the new ability to "reference" past chats to provide personalized responses.

In what may be a first, the US Department of Justice this week charged a hacker with attempting to cause injury and death by launching distributed denial-of-service (DDoS) attacks against hospitals. Ahmed Omer and his brother Alaa are accused of carrying out a cyberattack spree that targeted hundreds of victims under the hacktivist banner Anonymous Sudan. The group's DDoS victims included Microsoft's Azure cloud services, OpenAI's ChatGPT, and Israel's missile alert system, according to prosecutors. It was the brothers' alleged attacks on hospitals, however, that drew the most serious accusations from the Justice Department, which singled out Ahmed for allegedly seeking to kill people with the crude cyberattacks that overwhelm systems, knocking them offline. If someone told you there's a tool that can--using only open source information--create a "cyber profile" of you that can locate your phone in real time or place you at the scene of a crime at any date in the past, would you believe them?

Our world is populated by hundreds of thousands of cyborgs. Some are Parkinson's patients, who can shut off their tremors by activating metal electrodes implanted deep within their brains. Others--albeit far fewer--are completely paralyzed people who can move robotic limbs with their minds, thanks to their own implants. Such technologies can radically improve someone's quality of life. But they have a major problem: Metal and the brain get along very, very poorly.

This week the world's largest search companies leaped into a contest to harness a powerful new breed of "generative AI" algorithms. Most notably Microsoft announced that it is rewiring Bing, which lags some way behind Google in terms of popularity, to use ChatGPT--the insanely popular and often surprisingly capable chatbot made by the AI startup OpenAI. In case you've been living in outer space for the past few months, you'll know that people are losing their minds over ChatGPT's ability to answer questions in strikingly coherent and seemingly insightful and creative ways. Want to understand quantum computing? Can't be bothered to write that high school essay?

EVP of products at Kofax, a supplier of intelligent automation software to digitally transform end-to-end business operations. Artificial intelligence (AI) is anything but new. It's been a major part of our everyday lives for some time now. But when it comes to the business world, AI hasn't fully arrived yet -- at least not for most companies. While many organizations consider AI to be the next frontier in digital transformation, they just can't shift into the next gear and further their investment in AI-powered processes.

Each new technology seems to offer creative tools for both criminals and law enforcement. Telegraphs and telephones spawned wire and phone fraud. The era of digital networking ushered in the age of hacking. Digital banking allowed distance identity theft. Technically sophisticated criminals have been writing self-learning algorithms for decades that probe for system weaknesses, search out vulnerable information, and breaks poorly designed passcodes.

Healthcare is perhaps the most important sector in the U.S. economy. It is the largest: close to $4 trillion per year is spent on healthcare in the United States.

What'll it be next...D3 lacrosse? The Economist this week laid out just how quickly automation is taking over finance. Funds run by computers that follow human-set rules account for... Last month, exchange-traded funds (ETFs) and mutual funds automatically tracking stock and bond indices hit $4.3 trillion invested in American equities, surpassing the sum run by humans for the first time. Nobody's going to get hurt when Alexa messes up the weather forecast.

Artificial Intelligence (AI) is no longer a futuristic concept; it's here and, for all its imperfections and shortcomings, has already begun to change the way some businesses operate. For starters, just the sheer number of businesses adopting some sort of AI application has risen significantly in recent years. According to a recent report by Narrative Science, 38% of executive respondents said that in 2016 they used AI in some manner in their business. Twelve months later, 61% of respondents were harnessing AI applications in their day-to-day, and that number is only predicated to grow in the coming years, across virtually all industries. But how are AI and machine learning being used in early 2019? Currently, the most common uses for both are in improving efficiencies or worker productivity, informing future business decisions, and streamlining processes, at 51%, 41%, and 39%, respectively--and both small and large businesses alike are steadily implementing AI as part of their short- and long-term objectives.

Artificial Intelligence (AI) is no longer a futuristic concept; it's here and, for all its imperfections and shortcomings, has already begun to change the way some businesses operate. For starters, just the sheer number of businesses adopting some sort of AI application has risen significantly in recent years. According to a recent report by Narrative Science, 38% of executive respondents said that in 2016 they used AI in some manner in their business. Twelve months later, 61% of respondents were harnessing AI applications in their day-to-day, and that number is only predicated to grow in the coming years, across virtually all industries. But how are AI and machine learning being used in early 2019?