This article focuses on the political and geopolitical consequences of the feedback relationship linking Artificial Intelligence (AI) in its Deep Learning component and computing power – hardware – or rather high performance computing power (HPC). It builds on a first part where we explained and detailed this connection. There we underlined notably three typical phases where computation is required: creation of the AI program, training, and inference or production (usage). We showed that a quest for improvement across phases, and the overwhelming and determining importance of architecture design – which takes place during the creation phase – generates a crucial need for ever more powerful computing power. Meanwhile, we identified a feedback spiral between AI-DL and computing power, where more computing power allows for advances in terms of AI and where new AI and the need to optimize it demand more computing power.

Working with the news and media industry is always inspiring and dynamic but also sometimes can be quite challenging! In the few previous months I have been working intensively with the media industry in our region between Egypt, Emirates, Oman & Tunisia focusing on two tracks. The first track was through several training courses for digital transformation, consulting our media customers how to build their professional presence online and boost their business through an integrated multi-channel approach utilizing portals, mobile apps, social media & SEO. On second track, we have been working very closely on the technology stack for empowering the digital media industry. Our streaming platform Helixware has been powering several broadcasters, TV & radio stations across the Arab world and also our AI-powered SEO Wordlift has been boosting the business of our online publishing customers.

In a 2016 address to propaganda cadres and state-run media personnel, Chinese President Xi Jinping expressed dreams of instilling a new international media order "wherever the readers are, wherever the viewers are; that is where propaganda reports must extend their tentacles." As Xinhua News, China's largest state-run news agency, equips itself with "Media Brain," an artificial intelligence (AI) newsroom to assist all stages of reporting, these "tentacles" of propaganda may extend faster. Bringing AI to newsrooms can improve accuracy, enhance data analysis, and increase efficiency. According to a video released by Xinhua in January, the AI newsroom will do everything "from finding leads to news gathering, editing, distribution, and, finally, feedback analysis." Last week, Xinhua announced an update to Media Brain called "MAGIC," which will use machine generated content (MGC) for "fast-speed news production" and can automatically generate a news video in as fast as 10 seconds.

Machines have already begun quietly replacing human workers. The issue may seem abstract when it's somebody else's job. But what happens when they come for yours? Amazon began automating its warehouses years ago, but now "Amazon's Clever Machines Are Moving From the Warehouse to Headquarters," according to Bloomberg. "The people who command six-figure salaries to negotiate multimillion-dollar deals with major brands are being replaced by software that predicts what shoppers want and how much to charge for it."

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Amid a severe shortage of manpower, a team comprised of researchers from private companies and a university in Aichi Prefecture is working on developing a self-driving robot that uses cutting-edge technology to support flower-growing farmers. In fiscal 2019 the group hopes to start marketing automated, handcart-type robots that follow pickers of roses and chrysanthemums, carry the cut flowers, and deliver them to collection points. In a laboratory at Toyohashi University of Technology in Toyohashi, a roughly 1-meter-high handcart-type robot -- equipped with three cameras and two infrared radar devices -- moves back and forth, changing direction smoothly. The robot, which recognizes its location through camera footage, can self-drive on the farm grounds or inside greenhouses, follow flower pickers while keeping a certain distance, collect picked flowers, and carry them to designated collection points. Following flower pickers and transporting cut flowers became possible through the use of autonomous driving technology that involves the 3D mapping of farm grounds.

If you think drones aka unmanned aerial vehicles (UAVs) are at the peak of their evolution, it's time to think again because China is using the technology as birds to spy on its residents. We all know that the basic job of a drone involves monitoring ground activity and conducting critical reconnaissance missions. Most countries in the world are employing the technology for this purpose, but in order to ensure the success of such missions, it is crucial that the UAV remains unseen. This is why engineers across the globe are working to improve the element of stealth. However, just recently, a report from South China Morning Post (SCMP) revealed that China's government and military agencies have taken a unique approach to the case.

These and many other fascinating insights were shared during Eightfold.ai's Panel participants included Monika Fahlbusch, Chief Employee Experience Officer at BMC Software and former Senior Vice President, Global Employee Success at Salesforce, Ciara Ennis, Senior Marketing Manager EMEA for Twilio, Russell Williams, former Vice President of Human Resources at PARC, A Xerox Company and Ashutosh Garg, Eightfold.ai The Honorable Ananth Kumar Hegde, Union Minister of State, India, also addressed in detail his plans for re-skilling India and empowering youth in his nation. The panel provided insights into how CHROs are meeting the many challenges of talent management today and provides valuable lessons learned. How Machine Learning Is Solving One Of HR's Greatest Paradoxes Winning the war for talent must be multidimensional with a strong focus on making every HR process more employee-centric.

A woman with late-stage breast cancer came to a city hospital, fluids already flooding her lungs. She saw two doctors and got a radiology scan. The hospital's computers read her vital signs and estimated a 9.3 percent chance she would die during her stay. A new type of algorithm created by the company read up on the woman -- 175,639 data points -- and rendered its assessment of her death risk: 19.9 percent. She passed away in a matter of days.

With international trade agreements becoming increasingly complex, UNCTAD is working with the Brazilian arm of the International Chamber of Commerce (ICC Brazil) to use artificial intelligence (AI) to help trade negotiators, especially those representing less powerful nations. "Artificial intelligence could help reduce the complexity of information and level the playing field between big and small players in trade negotiations," said Bonapas Onguglo, in charge of UNCTAD's trade analysis branch. A comparison of the 1985 US-Israel trade deal with the one that the United States and Singapore signed in 2004 shows how much such agreements have evolved. AI assists in trade negotiations The 1985 deal has less than 8,000 words and contains just 22 articles, mostly dedicated to tariffs, agricultural restrictions, import licensing and rules of origin – what Harvard economist Dani Rodrik calls conventional trade topics . While these issues are also covered in the US-Singapore deal, most of its 20 chapters and 70,000 or so words deal with other topics such as anti-competitive business conduct, e-commerce, intellectual property, investment rules, labour rights and the environment.