Artificial intelligence technology is now used by a growing number of companies looking to hire the best employees, but new research from Rice University warns how it can incorporate biases and overlook important characteristics among job applicants. The study explores the scientific, legal and ethical concerns raised by personnel selection tools that rely on AI technologies and machine learning algorithms. Authors Fred Oswald, a professor in the Department of Psychological Sciences at Rice University; Nancy Tippins of the Nancy T. Tippins Group, LLC, and independent researcher S. Morton McPhail reviewed the use of this technology. Oswald says that AI technology--which includes games, video-based interviews and data mining tools--can save time in the job application process and the screening of potential employees. But he believes the effectiveness of these tools is questionable.

In a press release, the telco said these "rapidly maturing" technologies, such as machine learning and adaptive security, will propel investment in data centres. Interestingly, though, data centres themselves may end up using this new tech as heavily as the customers. San Jose, California-based Litbit said in a recent blog post that it has developed the first AI-powered data center operator. Dac, as the AI tool is called, promises to find loose electrical hook-ups and leaking water, among other potential data centre disasters. Infrared vision is among Dac's skills, according to CEO Scott Noteboom.

When trying to communicate with future customers, it's important to strike the right tone. When it isn't right, as in the case of Microsoft's Tay, things can spin out of control quickly. That's why more companies are trying to understand how to integrate emotional intelligence into the machines that interact with people.

When trying to communicate with future customers, it's important to strike the right tone. When it isn't right, as in the case of Microsoft's Tay, things can spin out of control quickly. That's why more companies are trying to understand how to integrate emotional intelligence into the machines that interact with people. In 2015, GE inaugurated a new, Multi-Modal manufacturing facility in Chakan, India. If the company's ambitions for the space are realized, it could drive a massive change in global manufacturing.