Our Newsrewired digital journalism conference is fast approaching and we are really excited about the speaker lineup and the topics we have in store. To offer you a taster of what is coming on 27 November, we caught up with four of our panelists on this week's podcast to talk about what delegates will take away from the event. Driving diversity in your newsroom is not just a worthy ideal, businesses also cannot afford to ignore the need to diversify their newsrooms to attract new audiences. Marverine Cole, journalist, broadcaster and academic, Birmingham City University touches on how she is championing diversity in education and the industry, but also why news organisations must focus their efforts on diversity to survive. For local news organisations, resources are spread thinly and it can be difficult to keep up with the workload.

Theoretical computer science has been a vibrant part of computing research in India for the past 30 years. India has always had a strong mathematical tradition. One could also argue that in the 1980s and 1990s, theory offered a unique opportunity to keep up with international research in computing despite limited access to state-of-the-art hardware. The Annual International Conference Foundations of Software Technology and Theoretical Computer Science (FSTTCS) was launched in 1981. FSTTCS2 allowed Indian researchers a natural opportunity to interact with leading academics worldwide.

I believe that artificial intelligence is going to be our partner. If we misuse it, it will be at risk, if we use it right it can be our partner. Go anywhere today; the essence of AI is spreading in every sector. Starting from non-manual cash-registers to high tech security verification at the airports, AI is building a strong niche that is hard to resist. In-fact according to a survey done by Tractica, AI in eCommerce is booming at such a pace that the revenue is expected to reach $36.8 Billion worldwide by 2025.

In recent years, machine learning has become prevalent in almost every industry. Machine learning has the ability to learn automatically and bring about changes and improvements from experiences. However, most of the businesses today are facing a lot of hurdles while implementing machine learning projects. For those companies in this space, several organizations are offering support for effective machine learning implementation. Quickpath is one such company that is proving itself quite realistic by offering AI and machine learning solutions where businesses can take benefits.

Artificial intelligence has replaced many skills in recent years – including the skills needed to do some human jobs. The tech revolution has not gone unnoticed by American workers. A 2018 Gallup poll revealed that 70% of Americans believe AI will eliminate more jobs than it creates. Democratic presidential candidate Andrew Yang has sounded the alarm, raising the prospect that millions are at risk for long-term joblessness. I'm an expert on labor markets in the U.S., and I believe that AI will undoubtedly change the future of U.S. labor – but Yang is also exaggerating the impact AI will have on the workforce.

Artificial intelligence has replaced many skills in recent years – including the skills needed to do some human jobs. The tech revolution has not gone unnoticed by American workers. A 2018 Gallup poll revealed that 70% of Americans believe AI will eliminate more jobs than it creates. Democratic presidential candidate Andrew Yang has sounded the alarm, raising the prospect that millions are at risk for long-term joblessness. I'm an expert on labor markets in the U.S., and I believe that AI will undoubtedly change the future of U.S. labor – but Yang is also exaggerating the impact AI will have on the workforce.

Technology has the power to improve lives and tackle the great challenges of our time. At the University of Exeter, for example, Tim Dodwell is about to start a five-year project looking into how technology can make the aviation industry more sustainable and safer. He is one of the first five recipients of a new government fund for research fellowships into artificial intelligence (AI). His work will focus on how we can use machine learning and data processing to understand complex mathematical problems and build lighter and faster aircraft. The UK is the birthplace of AI, and it is fitting that these new fellowships are named after the man credited with inventing machine learning: Alan Turing.

You are a member of the Malta National AI Taskforce and were involved in drafting the government's national strategy for AI. What is your background in this regard - which are your areas of expertise? In terms of my undergraduate education, my background is in creative computing – combining computing technology with art and culture, which is what my job at MUŻA involves. I subsequently studied for a post-graduate degree in Artificial Intelligence, an area I always found interesting, especially when it comes to creative intersections with AI. I am very interested in computer interaction and computer vision, which are also my areas of expertise.

The growing application of deep neural networks in safety-critical domains makes the analysis of faults that occur in such systems of enormous importance. In this paper we introduce a large taxonomy of faults in deep learning (DL) systems. We have manually analysed 1059 artefacts gathered from GitHub commits and issues of projects that use the most popular DL frameworks (TensorFlow, Keras and PyTorch) and from related Stack Overflow posts. Structured interviews with 20 researchers and practitioners describing the problems they have encountered in their experience have enriched our taxonomy with a variety of additional faults that did not emerge from the other two sources. Our final taxonomy was validated with a survey involving an additional set of 21 developers, confirming that almost all fault categories (13/15) were experienced by at least 50% of the survey participants.

Suchi Saria is a Professor of Machine Learning and Healthcare at Johns Hopkins University, where she uses big data to improve patient outcomes.[2][3][4][5] She is a World Economic Forum (WEF) Young Global Leader. She earned her Bachelor's degree at Mount Holyoke College.[7] She was awarded a full scholarship from Microsoft. In 2004 she joined Stanford University as a Rambus Corporation Fellow.[7]