India could emerge as the third-largest market in the Asia-Pacific (APAC) region for IBM's artificial intelligence (AI)-powered workforce automation solution, launched in November last year. The Armonk-based software services giant expects large-sized and mid-sized enterprises from sectors such as banking, insurance and manufacturing to be among the first adopters of the solution. The solution, dubbed the Talent and Transformation suite of services, is one among several that have come out of IBM's global AI platform, Watson. "India is one of the largest markets for the solution in terms of opportunity after Australia and Singapore (in the APAC region)," Lula Mohanty, general manager for APAC at IBM Global Business Services, told TechCircle. "Only five per cent of chief executive officers (CEOs) think that they have embarked on a transformation journey, especially when it comes to human resources core functions and only 24% of CHROs (chief human resources officers) think that they have a lot of work to do in terms of improving their core functions. This is a positive change in terms of rising awareness in the country," she added.

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Along with the extremes of traditional and online methods, a new method has emerged. Generally termed or known as a "hybrid method", it adopts the best of both traditional and online methods to deliver content. The hybrid method allows the student to study at their own pace while allowing them the guidance of a mentor whom they can meet and consult. Such a mentor would be associated with a university and are generally experts in the subject. This allows the student to discuss and understand the topic in depth, which might be a constraint in a purely online model.

Recently, the China-based medical big data and artificial intelligence company LinkDoc Technology completed a RMB 1 billion Series D financing in the first half of 2018 and quickly became the focus of the industry. LinkDoc Technology is the first big data and AI startup for medical applications to receive the highest score in this area in a single round of financing. Founded less than four years ago, LinkDoc has been dedicated to medical big data and artificial intelligence, and has continuously updated industry records in this new medical-ecological field. On June 24, 2018, Tencent and LinkDoc signed a strategic agreement for a medical AI business to achieve a strong alliance. They will strengthen their cooperation on hospital access and AI products based on Tencent's open innovation platform AIMIS and LinkDoc's oncology experience. Thanks to Tencent's "link" capabilities and the LinkDoc's proven track record in medical big data and medical AI, industry collaboration has given rise to new thinking.

Clarifying the elements of an algorithm--and their distinctive impact--will be increasingly important if machine learning is to overcome skepticism among healthcare stakeholders. Machine learning algorithms must offer insights that are credible and aligned with the scientific or clinical consensus. An algorithm that fails to replicate established findings or counters the established body of evidence is more likely an indication of a methodological oversight or a data artifact than a truly novel insight. A pharmaceutical manufacturer recently described a scenario in which a machine learning algorithm concluded that reducing low-density lipoprotein cholesterol after a heart attack was not associated with cardiac outcomes. This finding does not change 20-plus years of established clinical science, but rather speaks to nuances in the data and analytic structure. Without such a context, machine learning could conclude that cigarette lighters cause lung cancer. This context is provided by domain-specific expertise. Its absence results in decisions that, while analytically sound, produce algorithms that are not likely to be adopted. For instance, a recent machine learning algorithm to predict cardiovascular events included "lack of data" as a key risk factor.12

Is artificial intelligence poised to put thousands of journalists out on the streets? It can certainly look that way, with AI creeping into journalism more each day. An AI-powered -- and eerily-human -- newscaster debuted late last year in China, and earlier this week Axios published a fake article using an AI program that's capable of generating news posts that seem indistinguishable from its other stories. In recent years, legacy outlets like the Los Angeles Times and the BBC have turned to AI to write earthquake stories and curate programming schedules, respectively. World's first #AI news anchor debuts, jointly developed by Xinhua and Chinese search engine company https://t.co/34tyZ4nwrg.

With artificial intelligence being at the brink of conquering our planet, we are now possibly facing the next critical phase of human history. Rarely have we seen a technological advancement that could so radically and irreversibly change the world as we know it. The implications of artificial intelligence are undoubtedly immense, as it would probably affect almost every industry in the world, reshaping businesses and jobs in the process. Before his death in March 2018, the renowned physicist Stephen Hawking was often quoted for being a dogged critic of artificial intelligence because of the magnitude of destructiveness that might come along with giving computers an intelligence that is equal or even superior to that of a human. However, as reported by CNBC in 2017, Hawking found legislative proposals in the European Union to be hopeful in regulating AI and robots in various ways.

Artificial intelligence has the potential to solve some of science and industry's most vexing challenges. But for that to happen, it needs a new generation of computer systems. Today, AI's ever increasing sophistication is pushing the boundaries of the industry's existing hardware systems as users find more ways to incorporate various sources of data from the edge, internet of things, and more. In the continued pursuit of more advanced hardware for the AI era, IBM is working across its Systems, Research and Watson divisions to take a fresh approach to AI, which requires significant changes in the fundamentals of systems and computing design. To help achieve AI's true potential, IBM, with support from New York State (NYS), SUNY Polytechnic Institute, and the founding partnership members, today announced an ambitious plan to create a global research hub to develop next-generation AI hardware and expand their joint research efforts in nanotechnology.

In a first, famed Pakistani sports channel Geo Super has brought to its valuable viewers, the world's first ever Whatsapp-oriented interactive Chatbot. For increased viewer participation and satisfaction, the distinct Chatbot offers a wide range of features to its subscribers. In the wake of the on-going Pakistan Super League (PSL), the bot offers match summary alerts sent to all users every 20 minutes. The bot also allows for subscribers to cast their vote in various match polls where at the end results are shared. Using the bot, the subscribers also have a chance to get score updates anytime by typing'score' and sending it to the bot.

Earlier this year six Amazon Scout delivery robots rolled out in a pilot program in Snohomish County, Wash. The boxy bots, which resemble six-wheeled ice chests, carry meals, groceries and packages to homes and offices in this region just north of Seattle. They join a small-but-growing number of automated couriers trundling down the sidewalks of London, Beijing and other cities and communities worldwide. These machines must run a gauntlet of pedestrian legs, nosy dogs and cracked pavement. Which raises the question: Why are companies investing in delivery bots at all?