In the next three years, as many as 120 million workers in the world's 12 largest economies may need to be retrained or reskilled as a result of AI and intelligent automation, according to a new IBM Institute for Business Value (IBV) study. In addition, only 41 percent of CEOs surveyed say that they have the people, skills and resources required to execute their business strategies. The study, which includes input from more than 5,670 global executives in 48 countries, points to compounding challenges that require a fundamental shift in how companies meet and manage changing workforce needs throughout all levels of the enterprise. According to the global research, the time it takes to close a skills gap through training has increased by more than 10 times in just four years. In 2014, it took three days on average to close a capability gap through training in the enterprise; in 2018, it took 36 days.

The UK is now third in the world for artificial intelligence (AI) investment, behind the US and China, after attracting more capital in six months than in all of 2018. AI investment in the UK reached £859.29m in that time, compared with £825.85m in the preceding 12 months, according to figures collected by business information resource Crunchbase. The figures show that the UK's AI sector is now in its fifth year of consecutive growth, with investment increasing almost six-fold between 2014 and 2018. The growth has predominately been fuelled by startups with 50 or fewer employees, which account for 89% of the UK's AI ecosystem. According to representatives from entrepreneurs network Tech Nation, the focus now needs to be on scaling the UK's existing AI business to capitalise on these investment trends.

"Customers can't just go buy an'AI'" Today we're pleased to be joined by Darren Roos, the CEO of enterprise software vendor IFS. Enterprise tech buyers are under more and more pressure to innovate faster, grow globally, and deliver healthy margins. Yet when they look to the market for ways through, they are bombarded by vendors slinging their latest offerings associated with some of the biggest tech buzzwords of the day. It's no surprise then that the biggest challenge companies face is navigating this very complex enterprise technology landscape, which is a crowded and noisy space of offerings that promise to fix a myriad of business problems. Many of our customers consider themselves to be in a catch-22: on the one hand, they need to have processes in place to deal with whatever that'future' might entail, but without clear insight into what impact various future scenarios will have on their business, they're unsure how to plan effectively – and which technologies will support this planning.

Investment into UK artificial intelligence companies reached record levels in the first six months of this year, sealing a record year for funding and the UK's position as a top three country for AI investment, according to new figures. Tech Nation, a network for UK tech entrepreneurs, compiled the statistics to coincide with the launch of its new Applied AI growth programme. The statistics, which Tech Nation sourced from Crunchbase, reveal that AI investment grew six-fold between 2014 and 2018, with UK AI "scaleups" (companies with an average annualised return of at least 20 percent in the past 3 years with at least 10 employees) raising almost double that of France, Germany and the rest of Europe combined last year. Based on statistics from the first half of 2019, the sector's surge is showing no signs of slowing down. Crunchbase figures show AI funding in 2019 has already surpassed that achieved in the entire of 2018 ($1,021,642,595), reaching $1,063,012,777 and pushing the UK to third in the world for raising AI investment, behind China and the US, respectively.

Washington D.C: Researchers discovered that modern machine learning, a branch of artificial intelligence may augment the traditional way of diagnosing kidney disease. Pathologists often classify various kidney diseases on the basis of visual assessments of biopsies from patients' kidneys; however, machine learning has the potential to automate and augment the accuracy of classifications. In one study, a team led by Pinaki Sarder, PhD and Brandon Ginley, BS (Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo) developed a computational algorithm to detect the severity of diabetic kidney disease without human intervention. The algorithm examined a digital image of a patient's kidney biopsy at the microscopic level and extracted information on glomeruli, the small blood vessels of the kidney that filter waste from the blood for excretion. These structures are known to become progressively damaged and scarred over the course of diabetes, reported the study published in the journal -- journal of the American Society of Nephrology.

Much as robots have transformed entire swaths of the manufacturing economy, artificial intelligence and automation are now changing information work, letting humans offload cognitive labor to computers. In journalism, for instance, data mining systems alert reporters to potential news stories, while newsbots offer new ways for audiences to explore information. Automated writing systems generate financial, sports and elections coverage. A common question as these intelligent technologies infiltrate various industries is how work and labor will be affected. In this case, who – or what – will do journalism in this AI-enhanced and automated world, and how will they do it?

Fox News Flash top headlines for Sept. 9 are here. Check out what's clicking on Foxnews.com A Russian Soyuz capsule containing a humanoid robot returned safely to Earth Friday. In a blog post, NASA reported that the uncrewed Soyuz MS-14 spacecraft carrying the life-sized robot "is safely back on Earth," after parachuting to a landing in Kazakhstan at 5:32 p.m. EDT Friday. Russia's Roscosmos space agency sent the robot on a mission to the International Space Station on Aug. 22.

Predictive Oncology Inc. (NASDAQ: POAI) is a data and artificial intelligence-driven discovery services company that provides predictive models of tumor drug response to improve patient outcome. Predictive Oncology harnesses the power of artificial intelligence, collaborating with the pharmaceutical, diagnostic and biotech industries to develop highly customizable assessment methods for patients, which can lead to much more effective treatments. Predictive Oncology leverages the synergies of its three wholly owned subsidiaries to bring precision medicine to the diagnosis of cancer. Helomics applies artificial intelligence to its rich data gathered from patient tumors to both personalize cancer therapies for patients and drive the development of new targeted therapies in collaborations with pharmaceutical companies. Helomic's CLIA-certified lab provides clinical testing that assists oncologists in individualizing patient treatment decisions, by providing an evidence-based roadmap for therapy.

Thieves used voice-mimicking software to imitate a company executive's speech and dupe his subordinate into sending hundreds of thousands of dollars to a secret account, the company's insurer said, in a remarkable case that some researchers are calling one of the world's first publicly reported artificial-intelligence heists. The managing director of a British energy company, believing his boss was on the phone, followed orders one Friday afternoon in March to wire more than $240,000 (roughly Rs. 1.7 crores) to an account in Hungary, said representatives from the French insurance giant Euler Hermes, which declined to name the company. The request was "rather strange," the director noted later in an email, but the voice was so lifelike that he felt he had no choice but to comply. The insurer, whose case was first reported by the Wall Street Journal, provided new details on the theft to The Washington Post on Wednesday, including an email from the employee tricked by what the insurer is referring to internally as "the false Johannes." Now being developed by a wide range of Silicon Valley titans and AI startups, such voice-synthesis software can copy the rhythms and intonations of a person's voice and be used to produce convincing speech.

Two Manchester based companies are joining the UK's first Applied AI growth programme, as it is also reveals that UK AI investment is reaching record highs. Investment in AI technology grew almost six-fold from 2014 to 2018, with UK AI scaleups raising almost double that of France, Germany and the rest of Europe combined last year. In the first 6 months of this year, AI funding in the UK has already surpassed 2018's figures. As a result, the UK is currently third in the world for raising investment in AI, behind only China and the U.S. respectively for the number of AI companies in operation during 2019. Dream Agility and DigitalBridge have been identified as one of the UK's future leading AI companies. Elizabeth Clark, CEO, Dream Agility, Manchester commented: "We're delighted to have made it onto the Applied AI scheme.