Students who graduated from kindergarten welcome their up-coming study from September at the Minhang Qiangwei Primary School affiliated to Shanghai University of Traditional Medicine in May.

Students who graduated from kindergarten welcome their up-coming study from September at the Minhang Qiangwei Primary School affiliated to Shanghai University of Traditional Medicine in May.

Uber, Lyft, Ola and many more online ride hailing services are trying hard to use their extensive data to create data products such as pricing engines, driver allotment etc. To improve the efficiency of taxi dispatching systems for such services, it is important to be able to predict how long a driver will have his taxi occupied or in other words the trip duration. This project will cover techniques to extract important features and accurately predict trip duration for taxi trips in New York using data from TLC commission New York.

IBM designed Summit, the fastest supercomputer on Earth, to run the calculation-intensive models that power modern artificial intelligence (AI). Now MIT is about to get a slice. IBM pledged earlier this year to donate an $11.6 million computer cluster to MIT modeled after the architecture of Summit, the supercomputer it built at Oak Ridge National Laboratory for the U.S. Department of Energy. The donated cluster is expected to come online this fall when the MIT Stephen A. Schwarzman College of Computing opens its doors, allowing researchers to run more elaborate AI models to tackle a range of problems, from developing a better hearing aid to designing a longer-lived lithium-ion battery. "We're excited to see a range of AI projects at MIT get a computing boost, and we can't wait to see what magic awaits," says John E. Kelly III, executive vice president of IBM, who announced the gift in February at MIT's launch celebration of the MIT Schwarzman College of Computing.

The age of automation, and on the near horizon, artificial intelligence (AI) technologies offer new job opportunities and avenues for economic advancement, but women face new challenges overlaid on long-established ones. Between 40 million and 160 million women globally may need to transition between occupations by 2030, often into higher-skilled roles. To weather this disruption, women (and men) need to be skilled, mobile, and tech-savvy, but women face pervasive barriers on each, and will need targeted support to move forward in the world of work. A new McKinsey Global Institute (MGI) report, The future of women at work: Transitions in the age of automation (PDF–2MB), finds that if women make these transitions, they could be on the path to more productive, better-paid work. If they cannot, they could face a growing wage gap or be left further behind when progress toward gender parity in work is already slow. This new research explores potential patterns in "jobs lost" (jobs displaced by automation), "jobs gained" (job creation driven by economic growth, investment, demographic changes, and technological innovation), and "jobs changed" (jobs whose activities and skill requirements change from partial automation) for women by exploring several scenarios of how automation adoption and job creation trends could play out by 2030 for men and women given current gender patterns in the global workforce. These scenarios are not meant to predict the future; rather, they serve as a tool to understand a range of possible outcomes and identify interventions needed.

How #AI helps businesses enhance information security Hong Kong has seen multiple #data breaches and hacking incidents during the year, prompting worries .. 7wd.at/2cb3d93 #7wData 7wdata.be/x/aHR0cHM6Ly93…

Hong Kong has seen multiple data breaches and hacking incidents during the year, prompting worries that cybercrimes are posing a growing threat to businesses and organizations. The Hong Kong Economic Journal recently sat down with information security expert William Tam, Director of Sales Engineering, APAC, at US-based data protection services firm Forcepoint, to discuss the cyber-security threats and how latest technologies like artificial intelligence can help companies protect their data. HKEJ: We understand that Forcepoint recently published the "Forcepoint Cybersecurity Forecast Report for 2019," and in the report, you highlighted the latest market trend in artificial intelligence (AI). Can you elaborate on that? Tam: In the report, we mentioned that companies are now analyzing and looking at AI technology calmly, seeking to utilize the technology.

People who call companies to ask questions about their cable bills or complain about their Internet service being out are increasingly talking to artificial intelligence. Natural language processing, a subset of A.I. that helps computers understand speech, has become good enough that it's being used to listen and respond to basic customer questions. Over the past year, Google, Amazon and business software firm Twilio have all ramped up their marketing of A.I.-powered software for call centers. Their sales pitch is that the technology can answer basic customer questions, leaving more complicated questions and complaints to human agents. The tech firms say this A.I. software can also help existing call center staff quickly retrieve relevant customer information when they are chatting with customers, but it should be noted that the technology will likely result in companies eliminating human workers as they look for ways to automate customer service.

Automation has been at the forefront of global accountancy for decades, and professionals are constantly hungry for new tech innovations that will enable them to improve effectiveness and efficiency levels for clients. Yet while demand has continued to grow for the availability of smarter and more dynamic accounting systems, adoption has been pretty slow – particularly when it comes to artificial intelligence (AI). It looks like that's finally starting to change. Computer scientists have been tinkering with AI for more than half a century, and the concept itself is quite simple. By utilising a series of defined algorithms, AI-powered applications are able to draw from big data sources and use deep, machine learning functionality to process data, perform high-volume tasks, recognise patterns and even make decisions – and while that may sound like space-age science fiction to some practitioners, AI-powered apps and modules have already started to make a serious impact across the global accounting sector.

UK's Health Secretary has announced a massive £250 million investment in Artificial Intelligence which will help the NHS system tap into the power of AI. The European superpower is setting up a National AI Lab to make this happen. The Health Secretary Matt Hancock said: "The experts tell us that because of our NHS and our tech talent, the UK could be the world leader in these advances in healthcare, so I'm determined to give the NHS the chance to be the world leader in saving lives through artificial intelligence and genomics." The NHS Long Term Plan had earlier pledged to use AI to help clinicians eliminate various variations in care. This investment will augment the pledge.