Crucially, the surveyors then asked another question: how much would that risk increase if AI tools could match the performance of a team of experts on a difficult virology troubleshooting test? If AI could do that, the average expert said, then the annual risk would jump to 1.5%--a fivefold increase. What the forecasters didn't know was that Donoughe, a research scientist at the pandemic prevention nonprofit SecureBio, was testing AI systems for that very capability. In April, Donoughe's team revealed the results of those tests: today's top AI systems can outperform PhD-level virologists at a difficult troubleshooting test. In other words, AI can now do the very thing that forecasters warned would increase the risk of a human-caused pandemic fivefold.

Tech trends can change on a dime--for example, the Covid-19 pandemic caused many companies to reactively switch their tech focus to enabling and supporting remote work. Still, industry watchers generally have insight into likely upcoming developments--they named cybersecurity and the Internet of Things as trends to watch in 2021, and there's no doubt these topics have generated plenty of headlines this year. The tech experts of Forbes Technology Council have their own predictions about the technologies and trends they believe will dominate not only the tech industry but business in general in the year ahead. From continued upgrades to artificial intelligence, voice search and battery technology to the rise of "citizen developers," here are their predictions and reasons for new and continuing tech trends in 2022. Members of Forbes Technology Council share their predictions for the tech trends that will dominate industry in 2022.

Our expert-led blog series continues, with a new four-part edition, kicking off with finding out what our group of AI experts would see as their dream summit panel. Included are experts from MILA, Gartner, Google and more. Alexia chose the following for her dream summit panel: Firstly, Ian Goodfellow for his work on Generative Adversarial Networks (GANs) and adversarial examples (a big vulnerability in neural networks). Joining after was Anima Anandkumar for her work on Competitive Descent and Non-convex Optimization. Finally, Fei-Fei Li was added to the lineup for her work on ImageNet (the biggest categorized image dataset at the time and still a major benchmark for generative models), Robotics, and neuroscience applications.

The technology field is constantly evolving and growing. Yesterday's tech disrupters have quickly become today's industry standards, just as today's innovations will become commonplace in the future. To stay ahead of the curve, we asked the members of Forbes Technology Council to name the biggest tech disrupter they see impacting business and industry in the 2020s. Here are the 14 technologies they believe consumers and businesses should watch as the decade unfolds and how these disrupters might shape tomorrow's standards. Digital voice assistants are at the beginning of their disruption curve.

In 2018, the world witnessed the continued development of technologies like artificial intelligence and virtual reality. As these tools become more accessible and widely used among both businesses and consumers, many tech industry experts are speculating about what the next "big thing" will be. Looking ahead to 2019, we asked a panel of Forbes Technology Council members for their take on upcoming trends in their field. From blockchain as a service to enterprise content management, here are their predictions about the next wave of breakout technologies. The blockchain is not as revolutionary as artificial intelligence (AI), or as intuitive and user-friendly as voice control, but it will transform the way we handle finance, real estate, internet of things (IoT), the supply chain of most industries and much more.

Publications like The Wall Street Journal, Forbes and Fortune have all called 2017 "The Year of AI." AI beat professional gamers and poker players. Access to deep learning education widened through several online programs. The speech recognition accuracy record was broken multiple times. And research universities like Oxford and Massachusetts General Hospital invested in their own supercomputers. These are a few of many milestones in 2017.

Note: This article originally appeared as a blog post on December 3, 2017. You can see the original article here. Publications like The Wall Street Journal, Forbes and Fortune have all called 2017 "The Year of AI." AI beat professional gamers and poker players. Access to deep learning education widened through several online programs. The speech recognition accuracy record was broken multiple times.

Artificial Intelligence is the hottest buzzword in the tech industry. There have been a lot of predictions and speculations on how AI is going to take the world by storm. What is your prediction on how AI will impact the enterprise workplace? A quick note: The opinions of all the experts are their own. Acuvate doesn't share or have any comment on any of their views/opinions. Near-term predictions are strong but unsurprising. Many jobs in clerical and white collar management -- even lawyers -- will find their most routine and systematic tasks taken over. Well-paid radiologists are already facing the fact that Watson-systems can parse images quicker and have a lower error rate.

We're seeing more AI in more apps in more places than we've ever seen before: wearables, cars, productivity apps, military, health care, home entertainment--the list is lengthy. At 2018 knocks on our doors, we present some ideas from various industry executives about what impact they believe AI and machine learning will be making on the IT business and our lives in general.

Artificial Intelligence (AI) has certainly been one of the hero buzz terms in digital advertising in 2017, with plenty jumping on the bandwagon, but also plenty more investing significant money and resource into what is tipped to shape the future of the industry. In a series of features reflecting on the past year and looking ahead to what we can expect in 2018, ExchangeWire invite over 100 thought leaders from across the industry to share their views. In the latest installment of the series, experts predict what we should expect from AI in 2018. "Marketers will have to start thinking seriously about deep learning. AI was the buzzword of 2017, but next year everyone will be focusing on what AI really can do. Marketers are now digitally-savvy enough to ask tough questions about what deep learning is and what it can do on a high level, and will be informed enough to see the potential for their industry. As more advanced forms of AI become market-ready, deep learning will be at the forefront of any of those conversations, and marketers will begin to understand the value of using deep learning to buy media and create audiences to advertise against."