A text-generating artificial intelligence (AI) algorithm whose creators initially deemed too dangerous to release – given its ability to churn out fake news, spam and misinformation after feasting on a mere headline – has been unleashed. So far, so good, says the research lab, OpenAI. In a blog post last week, the lab said that the researchers have seen "no strong evidence of misuse" of the machine-learning language model, which is called GPT-2… at least, not yet. While we've seen some discussion around GPT-2's potential to augment high-volume/low-yield operations like spam and phishing, we haven't seen evidence of writing code, documentation, or instances of misuse […] We acknowledge that we cannot be aware of all threats, and that motivated actors can replicate language models without model release. Exactly how convincing is the output?

Robotic Process Automation combined with Artificial Intelligence have been delivering fantastic business results across a variety of industries and functions. With reduced human error, more people's time freed from monotonous tasks and a higher throughput you can focus on the people and activities you are aiming to serve best. Elinar and IBM invite you to our joint breakfast seminar to listen to real life customer success stories about intelligent automation. This Automation Breakfast is focused on use case examples from finance, sales and human resources tasks, that can be applied in any industry to automate mundane work that requires human effort. Learn how business and IT can engage in automation projects with 6 to 10 months ROI.

Are robots coming for your job? According to a Dell Technologies survey, 82% of leaders expect their employees and machines to work as "integrated teams". And many employees look forward to artificial intelligence (AI) that can help them do their job better. But not everybody has such a rosy outlook. In Australia, the report "Australia's Future Workforce" predicts about 40% of jobs could be lost to robotics, automation and artificial intelligence in the next 10-15 years.

The Consumer Technology Association (CTA) gave a preview of its 2020 CES in a press event last week in New York City, where Association executives talked up category coverage expansion, a planned Las Vegas Convention Center expansion, and the challenges the industry faces while trying to navigate its direction within the context of fluid trade policies. Karen Chupka, executive vice president of CES, noted that the convention space addition was on track for CES 2021 and that the show currently attracts 61 percent of the top 500 global brands. And while the lion's share of the 4,500 exhibitors and 1,200 startups in the Eureka Park are consumer electronics companies who show their wares, the show is deepening its coverage of a host of CE-related categories. These include vehicle technology, data and analytics, artificial intelligence, digital health, smart cities, sports tech, and travel and tourism – the latter, with a new, dedicated exhibit space and the scheduling of Delta CEO Ed Bastian as a keynoter. CTA President and CEO Gary Shapiro alluded at this event in his remarks to fluctuations in trade policies that are top of mind for both his vendor members and the dealers who visit the show every year.

Artificial intelligence can predict a person's chances of dying within a year by looking at heart test results – even when they look normal to doctors. How it does so is a mystery. Brandon Fornwalt at healthcare provider Geisinger in Pennsylvania, US and colleagues tasked an AI with examining 1.77 million electrocardiogram (ECG) results from nearly 400,000 people to predict who was at a higher risk of dying within the next year. An ECG records the electrical activity of the heart. The team trained two versions of the AI: in one, the algorithm was only given the raw ECG data, which measures voltage over time.

Ms. Payne, who does not have a background in education, developed the course of study with input from computer science teachers and researchers at the Harvard Graduate School of Education. Her "unplugged" curriculum mainly uses pen, paper and craft supplies so that teachers can adapt it for their classrooms, regardless of budget or technological know-how. Each 45-minute lesson typically includes a short lecture and demonstration, followed by a group activity and open-ended discussion. In one exercise, for example, students wrote an algorithm to build a better peanut butter and jelly sandwich. Ms. Payne plans to do a second run at several summer workshops in the Boston area, where children will get about four hours of AI education daily.

Opportunities for digital technologies implementation, including implementation of artificial intelligence, are being implemented in the mining sector. Technologies help to save money and to solve problems that humans can't solve. McKinseyestimates that by 2035, the use of data analysis and digital technologies will help coal, iron ore, and copper producers save between $290 billion and $390 billion annually. Digital technologies and artificial intelligence enable companies to extract minerals in hard-to-reach places and under extreme weather conditions. This article first appeared in Mining Review Africa Issue 10, 2019 Read the full digimag here or subscribe to receive a print copy here This means that in an environment when mineral resources are becoming increasingly scarce, it is possible to develop deposits that used to be inaccessible, to do it without endangering lives of employees and to minimize human errors that often lead to costly mistakes.

With a mission to bolster artificial intelligence and data science ecosystem, Analytics India Magazine has been working closely with campuses, institutes and universities in India with AIM Student Ambassador programme. Recently, our Student Ambassador at School Of Engineering Sciences And Technology Jamia Hamdard, New Delhi, concluded a workshop in Applied Machine Learning. It was attended by nearly a hundred including students and faculty members. The lecture was given by SEST students Ali Akbar who is also the AIM student Ambassador, and Abdul Wasay Siddiqui. The lecture was followed by a doubt clearing session conducted by professors Harleen Kaur and Vineeta Kumari.

John Keefe is the investigations editor at Quartz and leads the Quartz AI Studio. Keefe also teaches classes on product prototyping, design, and development at the Craig Newmark Graduate School of Journalism at CUNY and runs a product tinkering company called Really Good Smarts LLC. Before joining Quartz, he was Senior Editor for Data News at public radio station WNYC, leading a team of journalists who specialize in data reporting, coding, and design for visualizations and investigations. He was previously WNYC's news director for nearly a decade. A self-described "professional beginner," Keefe is the author of Family Projects for Smart Objects: Tabletop Projects That Respond to Your World from Maker Media, which grew from his effort to make something new every week for a year.

"A Breakthrough in machine learning would be worth ten Microsofts" – Bill Gates Yes, due to many obvious reasons, Bill Gates is right and we will prove it in this blog. Though the term, machine learning was tossed by Arthur Samuel in 1959 while working at the IBM, the actual serviceability of it started popping up after 2010. So, Dave Waters compares the advancement of machine learning with the baby – "A baby learns to crawl, walk and then run. We are in the crawling stage when it comes to applying machine learning." Recently, machine learning market has witnessed exceptional growth and it is estimated to reach $21 billion by 2024.