FlyingBinary is proud to be awarded on the tenth and latest iteration of the groundbreaking G‑Cloud framework on the Digital Marketplace. This award is especially significant as we launch our Artificial Emotional Intelligence service in partnership with Emrays BV, a leader in the use of AI for emotional recognition on the web. Important topics such as immigration, the strategic direction of healthcare services, and wider societal issues will be able to be understood with this new Artificial Emotional Intelligence G-Cloud service. Running on the latest NVIDIA GPUs, Emrays EMOTION_AI detects over 20 distinct emotions in any digital content which help companies and governmental organizations measure and understand how people feel about any topic – ranging from companies, brands, and people, to concepts. FlyingBinary have been awarded on all 10 framework iterations and are proud to continue our association with G-Cloud and Digital Marketplace.

There was much celebrating in America last month when the US Department of Energy unveiled Summit, the world's fastest supercomputer. Now the race is on to achieve the next significant milestone in processing power: exascale computing. This involves building a machine within the next few years that's capable of a billion billion calculations per second, or one exaflop, which would make it five times faster than Summit (see chart). Every person on Earth would have to do a calculation every second of every day for just over four years to match what an exascale machine will be able to do in a flash. This phenomenal power will enable researchers to run massively complex simulations that spark advances in many fields, from climate science to genomics, renewable energy, and artificial intelligence.

Google's planned exit from the controversial "Maven" project doesn't mean the Pentagon's artificial intelligence aims will go bust. It just opens up a new window of opportunity for other tech giants, like Amazon, Microsoft and IBM--all of whom were originally courted by the U.S. military. The Pentagon is keen to expand its use of artificial intelligence at a time when it is crystal clear that AI dictates the future balance of global power. And they're hoping (rather realistically) that Silicon Valley won't abandon them entirely by following Google out the door. In May, some 3,000 Google employees protested over the company's work with the U.S. military in a project known as "Maven".

A computer running artificial intelligence software defeated two teams of human doctors in accurately recognizing maladies in magnetic resonance images on Saturday, in a contest that was billed as the world's first competition in neuroimaging between AI and human experts. Good versus evil is a daily battle on a variety of levels but perhaps none more so than that those tracking developments within the realm of Artificial Intelligence. The question on the minds of many business leaders is will the technology create more efficiency within industries or will machines end up usurping their very users. Many in the workforce simply want to know whether there will be massive impending job loss as a result of AI or whether such tech advancements will help them to be more productive. There are wild myths about this new area of tech and even wilder predictions amidst few, if any, regulations and standards.

The idea that "uncertainty" has returned to the stock market in 2018 is perhaps the understatement of the year. Protectionist trade policies are whipsawing the S&P 500 SPX, 0.35% based on the news cycle, and headlines can cause individual segments of the market to move even more dramatically. Just look at the slump for Harley-Davidson Inc. HOG, 0.69% in late June, and how automakers responded to discussions of targeted tariffs last week. There are plenty of investors who are a bit testy about this, since one tweet by Donald Trump or the latest tit-for-tat in tariffs can undercut their strategy. But there are still stocks that are very much on the upswing regardless of trade escalations.

The fourth industrial revolution and oncoming of the second machine -- as it is being often hailed -- has led to new disruptive technologies emerging, even as many bit the dust in the last few years. So how do CEOs and their top teams even begin to make sense of the swirl of technological breakthroughs affecting business today? How do they gauge the impact of artificial intelligence on their companies' future compared with, say, the Internet of Things or virtual reality? A PwC study some time back identified top eight disruptive technologies that matter now, and will have far-reaching impact in the days to come. The team tracked more than 150 discrete technologies and analyzed for technologies with the most cross-industry and global impact over the coming years.

A computer running artificial intelligence software defeated two teams of human doctors in accurately recognizing maladies in magnetic resonance images on Saturday, in a contest that was billed as the world's first competition in neuroimaging between AI and human experts. Good versus evil is a daily battle on a variety of levels but perhaps none more so than that those tracking developments within the realm of Artificial Intelligence. The question on the minds of many business leaders is will the technology create more efficiency within industries or will machines end up usurping their very users. Many in the workforce simply want to know whether there will be massive impending job loss as a result of AI or whether such tech advancements will help them to be more productive. There are wild myths about this new area of tech and even wilder predictions amidst few, if any, regulations and standards.

Manuals on Reaper drones and details on how to defeat improvised explosive devices were leaked and it appears military personnel were hacked, according to cybersecurity researchers. The dark web drug trade might have depleted in recent months, but all manner of other black market trades continue to thrive in the underbelly of the internet. On Wednesday, researchers at cybercrime tracker Recorded Future reported that a hacker was trying to flog documents about the Reaper drone used across federal government agencies for between $150 and $200. It appeared they'd successfully hacked into at least two computers belonging to U.S. military personnel and the theft could have a significant impact on American campaigns abroad, Recorded Future warned. The company spoke directly with the hacker, learning the documents had been obtained by using a previously-disclosed vulnerability in Netgear routers.

As commerce and society feel the impact of digitization, automation proliferates along assembly lines and deployment of robotics gathers pace, an influential U.K. academic at the operating helm of the country's engineering academy says the time has come to ditch old clichés and have an apolitical holistic dialogue about future engineering skills. Meet Dr Hayaatun Sillem, Chief Executive of the Royal Academy of Engineering, who reckons such broader changes make it a "very interesting time" for engineers with the so-called Industry 4.0 or the next industrial revolution now firmly among us. "People should look at the ongoing transformation from a prism of not how many jobs will go, but rather at the changing nature and scope of roles and tasks. We should be optimistic that there would be many new jobs created partly through the fact that technology would enable us to do things we could not previously do." Dr Hayaatun Sillem, Chief Executive of the Royal Academy of Engineering, says the broader societal changes we are witnessing make it a "very interesting time" for engineers.Calum McCarron Looking at the size of the opportunity in a global context, engineers are not only among those feeling the first effects of Industry 4.0 but also the drivers of the shift towards a technologically astute low carbon economy, she adds.

The problem is that with so many drugs currently on the U.S. pharmaceutical market, "it's practically impossible to test a new drug in combination with all other drugs, because just for one drug that would be five thousand new experiments," said Marinka Zitnik, a postdoctoral fellow in computer science. With some new drug combinations, she said, "truly we don't know what will happen." But computer science may be able to help. In a paper presented July 10th at the 2018 meeting of the International Society for Computational Biology in Chicago. Zitnik and colleagues Monica Agrawal, a master's student, and Jure Leskovec, an associate professor of computer science, lay out an artificial intelligence system for predicting, not simply tracking, potential side effects from drug combinations.