One of the most interesting trends we've seen in 2017 is the spread of artificial intelligence into areas like marketing and security. Is this set to continue into next year, and are there new fields where AI is set to make a significant impact? Here are the views of some industry experts. AI isn't yet ready to go mainstream, but more businesses will be laying the ground work to use it in future, says Couchbase SVP of engineering and CTO Ravi Mayuram. "Today AI is more of a trendy buzzword than practical reality, and it's difficult to execute because AI is only as good as its data. While data integrity still varies within the enterprise, true implementation of AI is still a concept that will not come to fruition for a few years. However, we've seen early stages of machine learning applications in verticals such as advertising and retail. In the years ahead, we'll see more industries, including industrial IoT, digital health and digital finance, begin taking advantage of machine learning within applications to provide more meaningful user experiences. Throughout this transformation, the database will play an instrumental role by accommodating rapidly-changing data at scale while keeping big data sets reliable and secure."

The desire of countries to hop on the train of artificial intelligence and get a piece of the pie might be contrary to democracy, according to a speaker at this week's Internet Governance Forum. Even though artificial intelligence has the potential to improve lives around the globe, the challenges which come with it are complex and difficult to address, said the speakers. Please login or subscribe to read the full story.

Illegal, Unreported and Unregulated (IUU) fishing is becoming a major issue around the world . In general, IUU fishing is a broad term encapsulating many different scenarios (i.e. For the purposes of this blog, we'll just limit out discussion to Illegal fishing – i.e. fishing uses practices that are against the law, fishing in areas where it is not allowed, or taking animals which are not allowed to be taken. In this blog, I'm simply going to present some code demonstrating the simulation of a training dataset. The training dataset consists of 3000 fictional ships that engage in fishing activities. First, let's load up the libraries and set variables with our base categories Create names for our 3000 ships here.

AI engineer Anthony Levandowski, who is notoriously at the center of a lawsuit between Uber and Waymo, has filed the paperwork for a new Artificial Intelligence-based religion, Way of the Future or WOTF for short. This AI religion's aim is to'contribute to the betterment of society' through'understanding and worship of the (AI) Godhead', according to the proposal. The WOTF is set to consist of Levandowski as a Dean, and a further small council of advisors. It's no surprise that in our increasingly secular society, we're seeing a rise in new religious movements. Over millions of years, our planet and different civilizations on it have worshiped many different gods and deities.

The Duke University professor was at a statistics conference last year when, she said, she witnessed Steven Scott, a senior artificial intelligence (AI) researcher at Google, make sexual advances on one of her female students. According to Heller, when she spoke to Scott later at an event dinner, he was defensive and told the professor that she should be nice to him considering that he had secured her a Google-funded faculty research award. Artificial Intelligence has various definitions, but in general it means a program that uses data to build a model of some aspect of the world. This model is then used to make informed decisions and predictions about future events. The technology is used widely, to provide speech and face recognition, language translation, and personal recommendations on music, film and shopping sites.

While covering the rapid rise in the use of Artificial Intelligence (AI) and Machine Learning (ML) during the past few years, I have had the privilege of monitoring its implementation in numerous sectors. As part of my current series of interviews with the RELX Group, I been able to see the use of analytics from Artificial Intelligence in the legal industry. The legal sector has a lot of data to work with which makes it ideal for the implementation of AI and ML. To understand how these technologies are being deployed in the legal sector, I interviewed Jeff Reihl, CTO at LexisNexis. LexisNexis is one of the world's leading providers of business, legal, and regulatory information.

We don't know what our customers look like," said Craig Berman, vice president of global communications at Amazon, to Bloomberg News in June 2015. Berman was responding to allegations that the company's same-day delivery service discriminated against people of color. In the most literal sense, Berman's defense was truthful: Amazon selects same-day delivery areas on the basis of cost and benefit factors, such as household income and delivery accessibility. But those factors are aggregated by ZIP code, meaning that they carry other influences that have shaped--and continue to shape--our cultural geography. Looking at the same-day service map, the correspondence to skin color is hard to miss. Such maps call to mind men like Robert Moses, the master planner who, over decades, shaped much of the infrastructure of modern New York City and its surrounding suburbs. Infamously, he didn't want poor people, in particular poor people of color, to use the new public parks and beaches he was ...

If 2017 left you breathless, exhausted by unexpected headlines, then brace yourself. The coming year may bring even more turbulent change, according to the CEOs, academics, economists and other bold thinkers we consulted for our annual peek at the year ahead.

A Department of Homeland Security program that would collect facial scans of every American citizen traveling overseas may skirt the law, come at enormous cost, exhibit technical flaws and invade the privacy of innocent people, a new report finds. Published Thursday by three researchers at the Center on Privacy and Technology at Georgetown University's law school, the report examined a DHS pilot program currently underway at nine U.S. airports with overseas flights. In an effort to prevent visitors from overstaying their visas or using fraudulent travel documents, border agents scan the faces of travelers before they depart, and compare the biometric scan against a DHS database. Visitors and U.S. citizens alike who are traveling on certain international flights originating from cities including Washington, D.C., Atlanta, New York, and Chicago will have their faces captured. According to the study, DHS plans to extend the face scanning program to every airport in the United States that sends passengers abroad.

A crime-predicting algorithm in Florida falsely labeled black people re-offenders at nearly twice the rate of white people. Google Translate converted the gender-neutral Turkish terms for certain professions into "he is a doctor" and "she is a nurse" in English. A Nikon camera asked its Asian user if someone blinked in the photo -- no one did. From the ridiculous to the chilling, algorithmic bias -- social prejudices embedded in the AIs that play an increasingly large role in society -- has been exposed for years. But it seems in 2017 we reached a tipping point in public awareness.