The College of Humanities and Social Sciences (CHSS) at HBKU aims to deliver innovative programs that meet educational needs in the fields of humanities and social sciences for Qatar and the region. The College of Humanities and Social Sciences (CHSS) at Hamad Bin Khalifa University (HBKU) invites applications for Open Rank positions in the field of Translation Studies. The successful candidate will have long-standing experience in the field of Intercultural and Literary Translation, or Machine Translation, Artificial Intelligence and/or Terminology, a dynamic and innovative research agenda, as evidenced through an internationally recognized, strong record of peer-reviewed publications. The candidate will work closely with other programs in the college, in particular the PhD Program in Humanities and Social Sciences, and with national, regional and international partners and stakeholders. The candidate will be expected to teach graduate courses at MA and PhD level, applying a range of methodologies for teaching and assessment, contribute to all levels of curriculum development in the area(s) of specialty including the development of the interdisciplinary PhD in Humanities and Social Sciences.
Everybody wants to do machine learning these days. Machine learning, data science, artificial intelligence, deep learning, neural network -- these have become some of the most used phrases in the tech space today. I'm not saying it's particularly bad, but it definitely gets scary for somebody who doesn't really know what all this means but wants to get into the rat race. When you think about it, from a software developer's point of view, these are just different types of software or applications you work on, but with more math involved. I know I'm oversimplifying what data science is, but for somebody who doesn't have a mathematics or statistics background, it is very difficult to understand the jargon initially.
Blindly trusting anything is always a mistake but even more so when human resources (HR) relies too much on artificial intelligence (AI) to hire people. With the global explosion of AI, I decided to find out how organizations can address hiring bias while making the most of the latest HR technologies. Michele Bezzi, manager at SAP Security Research, leads a team that studies security challenges in AI. Bezzi stressed that privacy, fairness, and bias were three major facets of their research. Those areas are also reflected in the the company's guiding principles for AI.
Almost 37% of organizations have invested $5 million or more in cognitive technologies, states a survey by Deloitte. Inside and under every app we use every day there lies the revolution of technology. A revolution that started decades ago is now empowering organizations to deliver better and smarter services. The demand for artificial intelligence professionals has rapidly increased. But since AI adoption is still in its infancy there is a dearth for talent.
Udacity, the Silicon Valley based lifelong learning platform, announced its newest initiative to expand students' artificial intelligence skills: the Intel Edge AI Scholarship Program. This new scholarship program, announced at the Intel AI Summit and the Future of Education and Workforce Summit in San Francisco, will empower professional developers interested in advanced learning, specifically deep learning and computer vision, to accelerate the development and deployment of high-performance computer vision and deep learning solutions. Computer vision and AI at the edge are becoming instrumental in powering everything from factory assembly lines and retail inventory management to hospital urgent care medical imaging equipment like X-ray and CAT scans. This program will teach fluency in some of the most cutting-edge technologies. Upon successful completion of the first phase of the program, students will also have the opportunity to earn their way to a full scholarship to the Intel Edge AI for IoT Developers Nanodegree program, a brand-new Udacity Nanodegree program built in partnership with Intel.
Warning that businesses that ignore machine learning will "be left in the dust," Workday CEO and longtime cloud evangelist Aneel Bhusri said yesterday that machine learning will become even more disruptive than the cloud computing he's helped turn into a global phenomenon. Those would be strong words from any executive. But when they come from Bhusri--one of the leading advocates of and evangelists for cloud computing over the past 14 years--they dramatically underscore the scale and scope of ML's impact on the business world. In his keynote address opening his company's annual Workday Rising customer conference, Bhusri pegged ML as one of the three top-priority areas at fast-growing Workday as it gets closer to topping $1 billion in quarterly revenue. Bhusri's pointed and powerful focus on the ubiquitous role machine learning is playing at Workday comes at a critical time for the rapidly growing high-flier, which is #8 on my Cloud Wars Top 10 ranking.
Data Science Specialization is one of the best known sets of courses offered by Coursera in conjunction with Johns Hopkins University. This specialization covers the concepts and tools you'll need throughout the entire data science pipeline. The Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses. Coursera John Hopkins Data Science is a ten course program that covers the data science process from data collection to the production of data science products. It focuses on implementing the data science process in R. Coursera Johns Hopkins data science certification includes 9 courses and a capstone project.
Should the use of artificial intelligence be legislated? It's also a question that can and should be debated, especially when looking at it through the lens of human resources. And those are just a few of the big ones. That said, the purpose of this article isn't to argue for or against the use of AI as an HR tool, but to look at the current state of the legal situation around the technology. This year alone the federal government and several state governments have started to take action on issues related to artificial intelligence.
Putting our blind trust in anything is always a mistake, but even more so when human resources (HR) relies too much on AI to hire people. With the explosion of AI everywhere, I decided to find out how organizations can address hiring bias while making the most of the latest HR technologies. In all the hoopla about the benefits of AI in finding top talent, it turns out the missing ingredient was people. Michele Bezzi, manager at SAP Security Research, leads a team that studies security challenges in AI. He said that privacy, fairness, and bias were three major facets of their research.
The rise of technology within the education sector over the last few decades has been astounding. This is certainly the case if we consider that teaching with technology has become pervasive in almost every classroom environment. Within today's classroom, for example, we find ourselves surrounded by devices such as smart boards, AV, computers, laptops, tablets and phones, to name but a few technologies which are now being integrated into teaching. We have also seen the rise of the virtual learning environment and blended learning, alongside a significant rise in online education. This has allowed distance learning to take new forms and shapes and to reach greater audiences around the world.