The number of companies is growing to meet rising demand, but they are finding it difficult to recruit qualified workers, as Hou Liqiang reports. However, unlike many of their peers from other schools, they will not be frantically searching for jobs. Every one of the Jiaotong students has already been snapped up by employers. More than half of them will work in China's burgeoning artificial intelligence industry, which focuses on emerging technologies such as self-driving cars, electronic speech translators and data mining. Prospects are bright in the sector.

A recent study from researchers at the Singapore National Eye Center (SNEC) shows just how proficient artificial intelligence (AI) is becoming at recognizing certain illnesses. In a study designed to test the performance of deep learning software, built to recognize and classify retinal images, the medical AI software proved to be reliable in recognizing three major eye diseases. The technology used machine learning to classify retinal images with or without diabetic retinopathy, glaucoma and age-related macular degeneration. According to Professor Wong Tien Yin, the study's lead and SNEC's medical director, "With the AI system, results (for the screening) should be instantaneous and it can potentially reduce 80 percent of the workload of graders and optometrists, freeing up their time for treatment." This begs the question of how the future of AI will impact the work that doctors do at every level, from diagnosis to treatment.

We live in a world where productivity, a key pillar of long-term economic growth, has crumbled. In the United States, Europe, and other advanced economies, productivity growth has slowed so drastically in the past decade that economists debate whether we have entered a new era of stagnation--and this at a time when we need productivity growth more than ever to sustain growth, as working populations in countries from Germany to Japan age and shrink. Now comes potential help, in the form of advanced robotics, machine learning, and artificial intelligence, which can already outperform humans in a range of activities, from lip-reading to analyzing X-rays. The performance benefits for companies are compelling and not just (or even mainly) in terms of reducing labor costs: automation can also bring whole new business models, and improvements that go beyond human capabilities, such as increasing throughput and quality and raising the speed of responses in a variety of industries. Automation will give the global economy that much-needed productivity boost, even as it enables us to tackle societal "moonshots" such as curing disease or contributing solutions to the climate change challenge.

In this report Artificial Intelligence In Agriculture is valued at USD XX million in 2016 and is expected to reach USD XX million by the end of 2022, growing at a CAGR of XX% between 2016 and 2022. Geographically, this report is segmented into several key Regions, with production, consumption, revenue (million USD), market share and growth rate of Artificial Intelligence In Agriculture in these regions, from 2012 to 2022 (forecast), covering North America, Europe, China, Japan, Southeast Asia, India. This study involves Artificial Intelligence In Agriculture market competition by top manufacturers, with production, price, revenue (value) for each manufacturer. On the basis on the end users or applications, this report focuses on the footing and viewpoint for major applications. This report entails market overview, segment comparison by type and by application. The report is separated into sections dealing with distinct aspects of the Artificial Intelligence In Agriculture market, like market overview, segment comparison by region, Market Competition by Manufacturers, Mergers & Acquisitions, Expansion, gross margin.

The actual impact of artificial intelligence (AI) on the world's economy and jobs will likely be somewhere between the utopian and dystopian futures that it is often discussed in terms of, according to a new report from the Economist Intelligence Unit. The report, commissioned by Google, examined how AI will impact certain industries in the US, the UK, Australia, Japan, and Asia as a whole. The findings are based on econometric modelling, desk research, and interviews with academic and industry experts. Firms developing and using machine learning need to better communicate among themselves as well as with the public and policymakers, the report stated. This means doing more to manage expectations around the impact of machine learning, acknowledging the potential risks and rewards, improving trust and transparency, and educating the public.

But in this case, we had to be ready on Day 1. We understood that we were serving the biggest telecom and fast-moving consumer goods companies, and they get millions of requests." This is where channel partners like Microsoft and Accenture can help in ensuring that the underlying infrastructure makes the usage scalable, flexible, and fast to deploy. Kata needs to anticipate needs at two levels: the first is the enterprise or client level, and the next is the end customer who needs a fast response, ease of use, integration with her favorite messaging apps, and so on. At the same time, Kata takes care to factor in the needs of its channel partners.

Imagine it is the spring of 2019. A bottom-feeding website, perhaps tied to Russia, "surfaces" video of a sex scene starring an 18-year-old Kirsten Gillibrand. It is soon debunked as a fake, the product of a user-friendly video application that employs generative adversarial network technology to convincingly swap out one face for another. It is the summer of 2019, and the story, predictably, has stuck around -- part talk-show joke, part right-wing talking point. "It's news," political journalists say in their own defense.

There are few sectors likely to experience the effects of technology developments in 2018 as greatly as the supply chain industry. This is primarily due to the steady transition of the supply chain industry to an IT-driven environment. This means that the rapid changes occurring across a range of technologies including artificial intelligence, Internet of Things, robotics and automation, and Big Data will all have large flow-on impacts on supply chain personnel and processes. The changes are particularly important in the Asia Pacific region because APAC remains the driving force of global economic growth. APAC was the largest contributor to global growth in 2017 and this looks set to continue in the coming years as the Chinese middle class continues to expand and the efficiency gains of technology developments and e-commerce are realised throughout Southeast Asia and Australasia.

New Delhi:The government will soon offer incentives to startups and venture funds that undertake application-oriented research on artificial intelligence across key sectors including banking, insurance, education, health, retail and transportation. Financial allocation under the Atal Innovation Mission will be used to fund the programme on a nationwide scale and projects will be granted on the challenge mode, a senior government official told ET. The government is already providing support of up to Rs 10 crore to already established and upcoming new incubation centres depending on the set criteria laid under the Atal Innovation Mission, for which an allocation of 500 crore was made in 2015-16. The original allocation under AIM for 2017-18 stood at Rs 112 crore, which has been revised to Rs 150 crore while Rs 200 crore has been allocated for 2018-19. "It has just been announced. Niti (Aayog) has been working on the subject for a while and will be coming out with a roadmap shortly," the official said requesting anonymity.

Scores of Yemenis have taken to the streets of the southern province of Shabwa after a US drone attack killed at least seven civilians. The January 28 drone attack decimated a car carrying at least six male members of the same family and another individual as they were searching for a "missing child" in Shabwa's Said district, residents said. Saleh al-Aishi al-Ateeqi, a relative of one of the victims who organised the protest, told local media that "the victims were all innocent civilians who had nothing to do with any political or religious organisation." Speaking at a protest in the city of Ateq on Sunday, al-Ateeqi blamed the Arab coalition at war with Yemen for the deaths, saying it was responsible for the country's airspace and protecting civilian lives. The United States is the only force known to operate armed drones over Yemen and does not normally comment on its operations.