The most promising part of the research might be the way the researchers used the second method to make clear what the RNN is doing, says Eric Postma at Tilburg University in the Netherlands, who has done work in detecting art forgeries with AI for more than a decade. There could be more applications for artificial intelligence in art, he says, but art historians and researchers, steeped in centuries of tradition, have been slow to embrace such techniques. That's in part because it can be difficult to understand how a machine arrived at its results--a problem this latest research could help solve.

Constant pressure on businesses to innovate and grow in a dynamic competitive environment has made digital transformation a top priority for businesses across industries. Organizations are devoting significant time, effort, and capital to digitally transform. Some achieve significant tangible results from these efforts. In search of the factors that lead to digital transformation success, we surveyed 1,200 senior executives knowledgeable about their organizations' digital transformation efforts. The findings from the survey, coupled with our own experience, show how organizations can structure their digital transformation initiatives to help ensure that they have a positive impact--in other words, that they're doing what it takes to become more digitally mature. In the pages of this report, we discuss in detail our findings on what tends to drive successful digital transformation. Digital transformation has risen to the top of organizational agendas. In a recent survey of US and European business and technology decision-makers, some three-quarters said their company had undertaken a digital initiative.2 But effort does not necessarily translate into benefit, and many organizations continue to struggle to translate the execution of digital transformation programs into tangible impact.

Driver turnover has been above 90 percent for more than nine consecutive quarters and shows little sign of slowing down. What's more is that issues related to management and workplace policies and communication have caused 30 percent of drivers to leave their job. Keeping your drivers safe, recognizing them for doing the right thing, and offering a solid feedback loop are key to increasing driver engagement -- and retention. If the people who drive your products from one place to another do not feel like you have taken extra measures to keep them safe, then they will leave for jobs that do. Where does this leave you? The more drivers you lose, the more difficult it will become to transport your products.

Artificial intelligence has been embraced for its ability to offer insight from big data. By applying the technology to genetics, a research team led by Queen Mary University of London has found clues that they say could aid the development of new drugs for heart failure and identify people at risk of the disease. Based on an AI analysis of heart MRI images from 17,000 volunteers in UK Biobank, the researchers linked genetic factors to 22% to 39% of abnormalities in the size and function of the heart's left ventricle, which pumps blood into the aorta. They published the findings in the journal Circulation. The team identified or confirmed 14 regions in the human genome that play a part in determining the size and function of the left ventricle, because they contain genes that regulate the early development of heart chambers and the contraction of heart muscle.

A team of engineers from Harvard have developed a robot that will allow researchers to capture jellyfish without physically damaging them. The robot was designed to mimic the human hand and gently grasp jellyfish, whose delicate bodies are 95 per cent water. The device could be a major breakthrough for jellyfish researchers, who have long struggled with ways to study the mysterious sea creatures without damaging their delicate body. The exciting new device has a 3D-printed central housing meant to mimic a palm. The device is made with six long silicone tubes that are designed to act like fingers.

Have a go at developing a cloud-native microservice on a fully open source and open standards stack. Develop a microservice using the Eclipse MicroProfile programming model and deploy it to the Open Liberty server. Finally, build and run the application in a Docker container ready for deployment to your favourite cloud. This lab will guide you in deploying the IBM IoT Platform starter service. You will learn how to define a sensor within the platform and simulate some sensor data which will then be used to create a dashboard for device monitoring.

Bridgeworks CEO, David Trossell features in this article on IT PRO PORTAL about healthcare IoT and how AI data acceleration is the next security trend. A look at how to build healthcare around the Internet of Things, Artificial Intelligence and Machine Learning with the support of WAN data acceleration. Over the next decade, healthcare is expected to see a huge amount of technological change. Artificial intelligence (AI) and the Internet of Things (IoT) are expected to play a huge role. 'Building the Hospital of 2030', a report by Aruba, owned by Hewlett-Packard argued that the healthcare industry will need to embrace digital transformation in healthcare.

After 11 autopilot engineers left Tesla Inc (NASDAQ: TSLA) in May amid department restructuring, Tesla found itself in need of new software talent. On October 1, Tesla announced its acquisition of Deepscale, a Silicon Valley, California-based startup that will help actualize Tesla CEO Elon Musk's desire for its vehicles to become self-driving robotaxis. On LinkedIn, Deepscale's CEO Forrest Iandola announced his new role as a senior staff machine learning scientist at Tesla. CNBC reported that Tesla bought Deepscale "outright," but no financial details have surfaced. Deepscale is Tesla's sixth acquisition, including Maxwell Technologies in May 2019.

Sign in to report inappropriate content. Hear from Akshaya Bhargava and Bruce Keith--Bridgeweave's Founder and COO--as they discuss challenges in the space of Wealth Management and FinTech and how AI will enhance customer experience.

A French man paralysed in a nightclub accident has walked again thanks to a brain-controlled exoskeleton, providing hope to tetraplegics seeking to regain movement. The patient trained for months, harnessing his brain signals to control a computer-simulated avatar to perform basic movements before using the robot device to walk. Scientists described the trial results as a breakthrough. Doctors who conducted the trial said though the device was years away from being publicly available, it had the potential to improve patients' quality of life and autonomy. The patient, identified only as Thibault, 28, from Lyon, said the technology had given him a new lease of life.