SAP SE (NYSE: SAP) today said it will offer a new course on the openSAP platform that focuses on the ethical implications when developing and interacting with artificial intelligence (AI). Creating Trustworthy and Ethical Artificial Intelligence, offered June 25 through July 24, is geared toward all leaders, professionals, developers and general users of AI technology. "The potential for AI and machine learning is great, and the technology has already had significant impact in automating tasks and efficiently analyzing data sets," said Bernd Welz, chief knowledge officer, SAP. "As this technology continues to evolve and becomes further engrained in our society, it's important that we take the necessary steps to ensure that its development and continued application are carried out in an ethical way. Through this course, we're showing learners how they can keep ethics in the forefront when developing AI- and machine learning–enabled technologies."

Digital Transformation is changing the way both Defence and commercial organisations are operating in the maritime, land and air environments. Artificial Intelligence, Machine speed decision making and Virtual, Augmented and Mixed reality visualisation tools will all be part of our digital offers in the future. Thales is looking to rapidly assess these new technologies and build collaborative relationships with best of breed partners from wider markets by conducting a Maritime Pioneers day on the 24th June 2019 at the Digital Catapult in London. Thales reviewed 21 applications from some of the UK's brightest and best start-ups and scale-ups in digital technologies, down selecting the six that responded most closely to the criteria, and whose products and expertise impressed the selection panel the most. Thales is exploring novel approaches to strategic decision-making, assessing tools and techniques that are applicable and scalable across all domains.

When asked why he robbed banks, Willie Sutton famously replied, "Because that's where the money is". And so much of artificial antelligence evolved in the United States – because that's where the computers were. However with Europe's strong educational institutions, the path to advanced AI technologies has been cleared by European computer scientists, neuroscientists, and engineers – many of whom were later poached by US universities and companies. From backpropagation to Google Translate, deep learning, and the development of more advanced GPUs permitting faster processing and rapid developments in AI over the past decade, some of the greatest contributions to AI have come from European minds. Modern AI can be traced back to the work of the English mathematician Alan Turing, who in early 1940 designed the bombe – an electromechanical precursor to the modern computer (itself based on previous work by Polish scientists) that broke the German military codes in World War II.

Evisort, an artificial intelligence (AI) technology company, today announced the appointment of legal tech veteran Alexander Su (Alex) as its Director of Business Development. Su previously led the sales team at Logikcull, an eDiscovery automation company that grew revenue from 0 to $10M in just 19 months. Su's move is the latest in a recent trend of leadership talent being drawn to Evisort due to its explosive growth this year. Over the past decade, Su has been uniquely positioned to observe the evolution of legal technology. Earlier in his career, Su managed numerous discovery workflows as an associate at Sullivan & Cromwell.

In the lead-up to the 2016 election, very few predicted the degree to which online misinformation would disrupt the democratic process. Now, as we edge closer to 2020, there is a heightened sense of vigilance around new threats to truth in our already fragile information ecosystem. At the top of the list of concerns is no longer Russian bots, but deepfakes, the artifical intelligence-manipulated media that can make people appear to do or say things that they never did or said. The threat is being taken so seriously that last Thursday, the House intelligence committee held Congress's first hearing on the subject. In his opening remarks, Representative Adam Schiff, the committee chairman, talked of society being "on the cusp of a technological revolution" that will qualitatively transform how fake news is made.

Guru Hariharan, chief executive officer of Boomerang Commerce Inc., stands for a photograph after a Bloomberg Technology Television interview in San Francisco, California, July 2018. Boomerang Commerce Inc. provides online retail services by retailing analytics through complex optimization methods, machine learning and real-time data analytics. Machine learning has been one of the top tech new topics in recent months and is now being widely applied to businesses. Briefly, machine learning (ML) is an application of AI (artificial intelligence) that allows systems to learn and improve without being directly programmed. Focussing on the development of computer programs that can access data in order to learn autonomously, machine learning is being used by Google on its AI Platform which is bringing all its services, from data preparation to the training, tuning, deploying, collaborating and sharing of machine learning models.

The Volvo Group has signed an agreement with NVIDIA to jointly develop the decision making system of autonomous commercial vehicles and machines. Utilising NVIDIA's end-to-end artificial intelligence platform for training, simulation and in-vehicle computing, the resulting system is designed to safely handle fully autonomous driving on public roads and highways. The solution will be built on NVIDIA's full software stack for sensor processing, perception, map localisation and path planning, enabling a wide range of possible autonomous driving applications, such as freight transport, refuse and recycling collection, public transport, construction, mining, forestry and more. "Automation creates real-life benefits for both our customers and the society in terms of safety, energy efficiency and as a consequence productivity. We continue to gradually introduce automated applications in the entire spectrum of automation, from driver support systems to fully autonomous vehicles and machines. This partnership with NVIDIA is an important next step on that journey," says Martin Lundstedt, President and CEO of the Volvo Group.

The healthcare sector has long been an early adopter of and benefited greatly from technological advances. These days, machine learning (a subset of artificial intelligence) plays a key role in many health-related realms, including the development of new medical procedures, the handling of patient data and records and the treatment of chronic diseases. As computer scientist Sebastian Thrum told the New Yorker in a recent article titled "A.I. Versus M.D., "Just as machines made human muscles a thousand times stronger, machines will make the human brain a thousand times more powerful." Despite warnings from some doctors that things are moving too fast, the rate of progress keeps increasing. And for many, that's as it should be. "AI is the future of healthcare," Fatima Paruk, CMO of Chicago-based Allscripts Analytics, said in 2017. She went on to explain how critical it would be in the ensuing few years and beyond -- in the care management of prevalent chronic diseases; in the leveraging of "patient-centered health data with external influences such as pollution exposure, weather factors and economic factors to generate precision medicine solutions customized to individual characteristics"; in the use of genetic information "within care management and precision medicine to uncover the best possible medical treatment plans." "AI will affect physicians and hospitals, as it will play a key role in clinical decision support, enabling earlier identification of disease, and tailored treatment plans to ensure optimal outcomes," Paruk explained. "It can also be used to demonstrate and educate patients on potential disease pathways and outcomes given different treatment options.

When Conor Sprouls, a customer service representative in the call center of insurance giant MetLife talks to a customer over the phone, he keeps one eye on the bottom-right corner of his screen. There, in a little blue box, A.I. tells him how he's doing. The program flashes an icon of a speedometer, indicating that he should slow down. A heart icon pops up. For decades, people have fearfully imagined armies of hyper-efficient robots invading offices and factories, gobbling up jobs once done by humans.

Today, can all companies use artificial intelligence (AI), regardless of their size or sector of activity? Nozha Boujemaa: Yes, in fact the difficulty does not come from AI itself but from the data. People have not yet understood how important their structuring is. A company that wants to use AI must be able to exploit data even if they are multi-source, so they must be structured. We always talk about algorithms, but the algorithm is only the engine.