A fragment of a bronze military diploma from Sardinia, issued by the emperor Trajan to a sailor on a warship, as restored by Aeneas. If you believe the hype, generative artificial intelligence (AI) is the future. However, new research suggests the technology may also improve our understanding of the past. A team of computer scientists from Google DeepMind, working with classicists and archaeologists from universities in the United Kingdom and Greece, described a new machine-learning system designed to help experts to understand ancient Latin inscriptions. Named Aeneas (after the mythical hero of Rome's foundation epic), the system is a generative neural network designed to provide context for Latin inscriptions written between the 7th century BCE and the 8th century CE.

Five years ago, Future Tense Fiction started publishing a short science-fiction story each month. Our goal was simple: to give people more tools to imagine our future through tales that inspire us to weigh reasons for concern against excitement, caution against exploration. More than 60 stories later--plus accompanying response essays and art--we've covered mobility and A.I. ethics, space exploration and biometric surveillance, gig work and military tech, gender and the relationships between humans and animals … and much more. The stories serve as both alarm clocks and lighthouses, waking us up to challenges stemming from scientific and technological change and guiding us toward possible ways forward. They are written by authors and journalists, but also by researchers, doctors, and policymakers, from the U.S. and elsewhere (Hong Kong, Norway, Mexico, Sri Lanka, and Nigeria, to name a few).

Among adults aged 20–64, 91 percent had experienced tooth decay and 27 percent had untreated tooth decay. AI-driven dental imaging software can help make sense of the data quickly and efficiently. Normally it is the decay of the outer surface of a tooth as a result of bacterial action. "proper oral hygiene practices will go a long way in the prevention of tooth decay" AI-driven dental imaging software can help make sense of the data quickly and efficiently. AI can help out by providing additional detection tools and automated depth probing.

The i4 Insight Platform allows shipowners, operators and charterers to access insights on performance and fuel consumption across all ships in their fleet. The addition of GreenSteam's advanced machine learning technology means that platform users will have a more accurate picture of the leading contributors to excessive fuel consumption as well as access to actionable recommendations on how to optimise fleet performance. "Given the sheer volume of performance data available, machine learning is essential to help make sense of complex factors impacting vessel performance to help ensure operational efficiency," a press release from Lloyd's Register stated. GreenSteam was one of the first companies to apply machine learning to vessel performance data and its system can analyse data from thousands of vessels, continually learning, adapting and updating what it knows about each vessel. Shaun Gray, executive chairman of GreenSteam, commented: "An in-depth, data-driven approach to understanding and acting on fuel consumption has never been more necessary for the industry. GreenSteam's machine learning technology uses real ship performance data to provide owners and operators with actionable advice. Unlike traditional analytic approaches that fail to use and model 90% of performance data, by using machine learning, GreenSteam includes all ship performance data in its models to deliver insights other standard methodologies just cannot see."

Fewer newspapers are being circulated now than in years past. Total daily newspaper circulation was estimated to be 28.6 million for weekday publications and 30.8 million for Sunday publications. Both of these figures decreased by 8% and 9% respectively from the previous year according to data provided by the Center's analysis of Alliance for Audited Media data.

The immediate benefit of RPA is that it can eliminate a lot of repetitive manual labor and free up humans for what they do best. But RPA also helps enterprises create a standardize framework for capturing data about how they execute processes, as well as data about how processes can get delayed or stalled. "If you set up RPA the right way by instrumenting the process, it's possible to gather data to use as the training set for machine learning," said Catalytic chief revenue officer Ted Shelton in an interview at Transform 2019. "RPA is the gateway drug for AI." An RPA implementation not only puts the steps involved in a process into a bot script, it can also set up the framework for understanding how a process is affected by different variables.

Turning data into insight is one of the top business challenges today, and it becomes especially tricky when the data in question is unstructured. Artificial intelligence has a mixed track record there, but a young startup aims to get better results by bringing humans back into the picture. Spare5 on Wednesday released a new platform that applies a combination of human insight and machine learning to help companies make sense of unstructured data, including images, video, social media content, and text messages. The result, it says, are "game-changing insights delivered cost-effectively and at scale." The company's technology is now being used by companies including Expedia and Getty Images to enrich, clean and label unstructured data.