Machine learning is a branch of Artificial Intelligence (AI) that presents systems with the ability to learn automatically to increase their accuracy without being programmed. The primary aim is to enable the machine systems to learn on their own, without any form of human intervention. Even though most people must have heard about it, only a few fully understand what it is and its benefits to eLearning. There are many benefits of machine learning for online training. However, one needs to make use of the best practices to achieve the benefits and deliver a better Learning Experience.

The Machine Learning Center at Georgia Tech (ML@GT) is home to many talented students from across campus, representing all six of Georgia Tech's colleges and the Georgia Tech Research Institute (GTRI). These students have diverse backgrounds and a wide variety of interests both inside and outside of the classroom. Today, we'd like you to meet James Smith, a second-year machine learning Ph.D. student. Smith is a unique combination of athlete and academic; he runs at least one marathon each year while also working on ways to design machine learning algorithms that positively impact the world. Other degrees earned and from what institution: B.S. and M.S. in Electrical Engineering, both from Auburn University (War Eagle!) Tell us about your research interests. Where might people be impacted by them in everyday life?

Micron Technology, Inc., today announced a powerful new set of high-performance hardware and software tools for deep learning applications with the acquisition of FWDNXT, a software and hardware startup. When combined with advanced Micron memory, FWDNXT's (pronounced "forward next") artificial intelligence (AI) hardware and software technology enables Micron to explore deep learning solutions required for data analytics, particularly in IoT and edge computing. With this acquisition, Micron is integrating compute, memory, tools and software into a comprehensive AI development platform. This platform in turn provides the key building blocks required to explore innovative memory optimized for AI workloads. "FWDNXT is an architecture designed to create fast-time-to-market edge AI solutions through an extremely easy to use software framework with broad modeling support and flexibility," said Micron Executive Vice President and Chief Business Officer Sumit Sadana.

There is no shortage of statistics on the increasing uptake of artificial intelligence (AI) in business. With adoption poised to grow over the next few years, this will undoubtedly lead to the discovery of new use cases and applications of the technology that were never before on the radar of business leaders. While this anticipated growth is exciting from a technological standpoint, it is also fraught with ethical landmines. As the associate director of the Charlotte Visualization Center at the University of North Carolina at Charlotte, I oversee internal and external research on the use of big data in industries such as science, business and medicine, so I'm familiar with the frequent intersection of ethics and AI. In today's digital age, organizations have access to unprecedented volumes of consumer data -- including personally identifiable information (PII), which can range from your name, credit card information and medical records to IP addresses and biometric data such as fingerprints.

You may have heard that we are currently on the cusp of the fourth industrial revolution – a time where the barriers between physical, digital, and biological sectors will be eliminated by Artificial Intelligence. And though a lot of us may be experiencing some Boston Dynamics level creep factor, it's something that we are going to have to face and adapt to. You may be thinking that this will be a technology focused issue – something that HR and recruiters won't have to worry about. However, they will actually need to be as close to this cutting edge as possible. HR will be instrumental in this evolution.

HowNow, the modern learning platform designed to help today's workforce drive self-directed learning and develop business-critical skills, has now raised more than $3m in funding, following the close of its pre-series A funding round, led by Fuel Ventures. Founded by Nelson Sivalingam with co-founders Kuvera Sivalingam and Ashish Kumar in 2016, HowNow is an integrated learning platform that autonomously curates learning resources, business intelligence and market insights that live in dozens of different internal and external sources, and makes it available everywhere employees work. The AI-powered learning platform is used by SMEs and large Corporates to onboard, upskill and enable employees. The company's investors now include the likes of Mark Pearson (founder of MyVoucherCodes); Andy Murray OBE; Michael Whitfield and Chris Bruce (founders of Thomsons Online Benefits); Bernie Sinniah (former managing director at Citi Bank); and Alwin Magimay (a former partner at McKinsey). Using Machine Learning and Artificial Intelligence, HowNow is able to personalise learning for employees based on their role, experience, learning preferences, skill requirements, business goals and their context.

My specific focus in this work will be threefold: firstly, to present a coherent and comprehensive state of play with current technologies and research, secondly, to build out case studies of how these areas are influencing and changing Organisations globally, across a range of sectors, and finally, to identify specific actionable insights and areas for individual (and Organisational) experimentation. In the Learning Science module, which i have just about finished, i included a whole section on the'Hyperbole Filter', alongside sections on'What Science Can Do For Us', and'What Science Cannot Do For Us'. I will attempt a similar stance for this piece. I anticipate that i will develop this over the next six months or so, alongside some other work, and will #WorkOutLoud as i do so. As an aside, the Learning Science work is taking shape into the Learning Science Guidebook, which i intend to publish as a full free eBook before the end of this year.

The University of Helsinki is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities in Europe and ranks among the top 100 international universities in the world. We are an equal opportunity employer and offer an attractive and diverse workplace in an inspiring environment with a variety of development opportunities and benefits. As a part of the Faculty of Science, the Department of Computer Science (https://www.helsinki.fi/en/computer-science) is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The number of professors at the Department has grown in recent years and there are now 29 professorships.

Schools are not providing the adequate skills to succeed in a world where artificial intelligence will transform the future labour force, according the new research from ESCP Europe. In order to prepare our future generation for a world that will revolve around technologies such as AI, major steps need to be taken in order to coincide this change with the educational structure and understand how the current system is not giving children the personal and professional technological development required says the accompanying report. According to Terence Tse, Professor of Digital Transformation at ESCP Europe: "Our modern-day educational system is outdated, unfitting and no longer works - it only teaches a very rigid set of theories and skills. This is grossly inadequate for the needs of children who will be working in the age of the 4th Industrial Revolution and beyond. "The majority of the jobs our current education system is preparing our children for will be irrelevant by the time they are adults and most will end up in jobs that don't even exist yet.

Abu Dhabi is gearing up for the next phase in advances in science and technology by announcing plans to open the world's first University of Artificial Intelligence. Academic experts and businesspeople from China, America and the UK will help to steer the state-of-the-art institute when the campus officially opens to graduate students in Masdar City in September 2020. Abu Dhabi made the announcement as part of a national strategy set up in 2017 that makes Artificial Intelligence the centrepiece of the UAE's focus on developing a "knowledge-based economy". The university has partnered with the Abu Dhabi-based Inception Institute of Artificial Intelligence, who will advise on the academic curriculum. The university has also been named after the capital's political leader, crown prince sheikh Mohamed bin Zayed Al Nahyan.