There is a school of thought that ponders a dark, dystopian future where artificially intelligent machines brutally and coldly run the world, with humans as only a biological tool. From Hollywood blockbusters, to evangelic tech entrepreneurs, we've all been exposed to the possibility of this type of future, but have we all stopped to ponder how we should avoid it? Now, of course, all of this dystopia is many many decades away, and only one of several gazillion possible future outcomes. But that doesn't preclude getting the conversation started today. For me, and many others, it boils down to one simple thing: ethics.

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Robotics, machine learning, data science, and mathematical modelling are just some of the tools that a group of researchers will use to forecast environmental changes across Antarctica as part of a seven-year research project. To be led by Monash University, the Securing Antarctica's Environmental Future (SAEF) project will involve 30 Australian and overseas organisations, including Queensland University of Technology (QUT), University of Wollongong, University of New South Wales, James Cook University, University of Adelaide, the South Australian Museum, and the Western Australian Museum. According to QUT Institute for Future Environments executive director Kerrie Wilson, who will form part of the program's leadership team, the research aims to "bring new perspectives to Antarctic conservation". "Antarctica is facing unprecedented threats from climate change, fishing, visitation, and other human activities. Safeguarding its future will require new ideas, and collaborations between different fields of science," she told ZDNet.

In FX trading, artificial intelligence (AI) is the most potentially disruptive technology for predictive analysis. However, when creating an AI application, there is always the problem of gaps in the data and technology. How has a joint venture between Refinitiv and the Bank of China addressed these challenges, and moved an AI innovation from idea to reality in a short space of time? Using AI innovation in FX trading has been on people's minds for quite some time. However, it has now become a more practical proposition because of advances in big data and machine learning (ML).

The age of artificial intelligence (AI) was widely proclaimed in 2017 when Google's AlphaGo program comprehensively defeated Ke Jie, world champion player of Go, the complex Chinese board game. Since then the excitement has ebbed as Washington and Beijing fought a trade war, and China's start-up funding dipped in part because the original AI hype lost its shine. This raises the question of whether AI -- defined as algorithms that mimic human intelligence -- can deliver on its potential, and when. The answer is crucial because AI could become the ultimate industry disrupter, threatening tens of millions of jobs in Asia as business processes are automated. In addition, AI is the subject of intense rivalry between the US and China.

Artificial intelligence (AI) are systems designed and programmed to work or act like humans. The process includes AI solving complex problems, learning, and improving themselves over time. At the rate the technology is developing, experts believe that AI will eventually mimic and perform tasks like a human. The positive applications for AI in every significant aspect of human life is beyond measure. The technology is already being deployed in medicine and used extensively in consumer electronics.

New and Updated Deep Learning Institute Courses Launched, With More Training Delivery Partners Added. Starting this month, NVIDIA's Deep Learning Institute is offering instructor-led workshops that are delivered remotely via a virtual classroom. DLI provides hands-on training in AI, accelerated computing and accelerated data science to help developers, data scientists and other professionals solve their most challenging problems. These in-depth classes are taught by experts in their respective fields, delivering industry-leading technical knowledge to drive breakthrough results for individuals and organizations. DLI has already trained more than 200,000 developers globally and is growing quickly to bridge the digital skills gap worldwide.

The semiconductor is the foundational technology of the digital age. It gave Silicon Valley its name. It sits at the heart of the computing revolution that has transformed every facet of society over the past half-century. The pace of improvement in computing capabilities has been breathtaking and relentless since Intel introduced the world's first microprocessor in 1971. In line with Moore's Law, computer chips today are many millions of times more powerful than they were fifty years ago.

Nowadays the term artificial intelligence (AI) has become synonymous with "technology of the future." Since 2012, when the neural networks trounced the ImageNet image classification challenge, machine learning has enabled extraordinary advances across diverse domains such as vision, translation, and speech recognition. We have seen a widespread democratization of the knowledge needed to get started in AI. Cheap consumer hardware, easy access to datasets, and the prevalence of powerful open-source frameworks such as PyTorch and TensorFlow have significantly reduced the barrier to entry. It has become clear that AI is going to transform the fabric of society in ways never seen before.

A Bengaluru-based Artificial Intelligence (AI) firm has come up with "designs" of several chemical molecules that may help stop SARS-CoV2 virus, which causes Covid-19 infection from multiplying in an infected person. The firm, which used deep learning technology to identify structures of molecules that would inhibit a critical enzyme of the virus – called 3CLpro, is already in talks with an Indian pharma company, which could synthesise the molecules for testing, if the deal materialises. "We are not in a position to disclose the name of the pharma firm yet," said Vikram Jha, CEO of Pucho Technology Information Limited, the five-year-old firm. The firm, which has office in Bengaluru has been involved in developing an AI platform that offers search and information services to people who have otherwise access to the Internet in languages they are comfortable with when the lockdown happened. "We were ready with our platform but could not launch because of the lockdown. So, we decided to direct our energies towards the Covid-19 fight in a meaningful way using our expertise in AI. That was when two of our engineers specialising in deep learning suggested they could use neural network technology to look for generating potential lead compounds that can target the viral enzyme, 3CLpro," said Jha.