The bike provides impressive ease of use to go with its high performance and visceral engine character. Breakthroughs, discoveries, and DIY tips sent every weekday. Ducati's new low-slung 168-horsepower muscle bike is meant to appeal to sport bike riders who have tired of the racer-crouch riding position but still want a sophisticated and powerful ride. Chinnock's not just the CEO; he's also put in his miles on the race-replica bikes that build Ducati's reputation for performance. The XDiavel V4's 1,158cc four-cylinder engine is the bike's centerpiece, both visually and technically.

Create unique AI artwork using text, phrases, images & presets, share, download, print & mint as NFTs

As drug developers and regulators alike increasingly warm to creative ideas for running clinical trials, a machine learning platform created by three physicists is drawing in $50 million from tech VCs. Unlearn bills itself as the only company that can generate "digital twins" of patients for use in clinical trials, so that biopharma companies can test their drugs with fewer real patients than they would need to in traditional trials, but get similarly, if not even more, reliable results. "Our product is not an AI model -- it's a clinical trial," CEO Charles Fisher wrote in an email interview with TechCrunch. He divulged that Germany's Merck KGaA is among three drugmakers using Unlearn's platform in the design of its clinical trials -- although it's not directly for the digital twin service but prognostic information from the digital twins. Whereas there have been efforts and guidance from the FDA to use real-world data to support regulatory decisions, none have quite gone as far as incorporating constructed patient profiles. Unlearn believes its technology can accomplish that through a combination of machine learning and new statistical methods.

Volvo Cars, the Swedish auto maker owned by China's Zhejiang Geely Holding Group, hopes a solution may lie in playing unobtrusive audio cues to passengers about a second before the vehicle makes a maneuver, such as a sharp turn or acceleration. Get weekly insights into the ways companies optimize data, technology and design to drive success with their customers and employees. These cues prompt passengers to adjust their posture and prepare their brains for a change in motion, decreasing the likelihood that they will feel sick, said Justyna Maculewicz, a user experience designer at Volvo who has a Ph.D. in media technology. The car maker worked with Stockholm-based audio company Pole Position Production AB and RISE, a research institute in Sweden, to compose audio cues reminiscent of car engine sounds, rather than the voice commands or industrial beeps usually associated with in-car warnings, Dr. Maculewicz said. "We are taking sounds which you learn over the years, that sound natural, and we are making them more attractive," she said.

K Allado-McDowell had been working with artificial intelligence for years--they established the Artists and Machine Intelligence program at Google AI--when the pandemic prompted a new, more personal kind of engagement. During this period of isolation, they started a conversation with GPT-3, the latest iteration of the Generative Pre-trained Transformer language model released by OpenAI earlier this year. GPT-3 is, in short, a statistical language model drawing on a training corpus of 499 billion tokens (mostly Common Crawl data scraped from the internet, along with digitized books and Wikipedia) that takes a user-contributed text prompt and uses machine learning to predict what will come next. The results of Allado-McDowell's explorations--a multigenre collection of essays, poetry, memoir, and science fiction--were recently published in the U.K. as Pharmako-AI, the first book "co-authored" with GPT-3. By its very nature, the book forces us to ask who is responsible for which aspects of its authorship and to question how we imagine or conceptualize that nonhuman half.

With the rise of artificial intelligence, machine learning, and other futuristic technologies, tech companies are expected to play an even bigger role in …

Retail banking is in the midst of change and technology is driving transformation, connecting physical and digital environments. Incumbent banks, challengers and neobanks are also focused on developing online and mobile banking services to meet the needs of the consumer, like the chatbot for retail customers, a conversational banking platform that most financial institutions (FIs) have launched. What retail banks are doing is challenging the status quo by adopting emerging technologies to combat issues that traditional financial institutions have faced for decades. This is just a drop in the ocean of the digital transformation that is to come.

Retail banking is in the midst of change and technology is driving transformation, connecting physical and digital environments. Incumbent banks, challengers and neobanks are also focused on developing online and mobile banking services to meet the needs of the consumer, like the chatbot for retail customers, a conversational banking platform that most financial institutions (FIs) have launched. What retail banks are doing is challenging the status quo by adopting emerging technologies to combat issues that traditional financial institutions have faced for decades. This is just a drop in the ocean of the digital transformation that is to come.

Hill Knowlton Strategies is joining forces with AI pioneers Advanced Symbolics Inc. to conduct in-depth analysis of 28 key federal ridings in #ELXN43. This series is called Ridings to Watch. Over the course of the election we will add blocks of seven strategically important ridings. Below you will find all 28 Ridings to Watch! The team at ASI created "Polly," an AI that predicts voter intentions based on publicly available social media data.

As 2019 gets underway and your marketing plan unfolds, you've probably set some goals for the coming year: We're going to break down the data silos that keep us from understanding our customers. We're going to improve our messaging relevance. We're going to target customers more accurately on their preferred channels What if you could just find the time to make any one of these resolutions a reality? Although the promise of one-to-one marketing has been around for many years, brands still send customers too many marketing messages that are irrelevant, generic or only slightly personalized. The problem is that marketers today have too much data and not enough creative time to respond to soaring customer expectations for a personalized buying experience. Enter artificial intelligence (AI) and machine learning-based marketing tools that are changing the nature of how marketers make decisions and deploy campaigns.