This is the seventh post of my column Deep Learning for Life Sciences where I give concrete examples of how Deep Learning can already now be applied in Computational Biology, Genetics and Bioinformatics. In the previous posts, I demonstrated how to use Deep Learning for Ancient DNA, Single Cell Biology, OMICs Data Integration, Clinical Diagnostics and Microscopy Imaging. Today we are going to dive into the exciting History of Human Evolution and learn that it is straightforward to borrow methodology from the Natural Language Processing (NLP) and apply it to Human Population Genetics in order to infer regions of Neanderthal introgression in modern human genomes. When ancestors of Modern Humans migrated out of Africa 50 000 - 70 000 years ago, they encountered Neanderthals and Denisovans, two groups of ancient hominins that populated Europe and Asia at that time. We know that Modern Humans interbred with both Neanderthals and Denisovans since there is evidence of the presence of their DNA in genomes of Modern Humans of non-African origin.

At IGF 2019, several policy initiatives, reports, and publications were launched or used as background material for discussions.

Artificial Intelligence (AI) is currently the hottest buzzword in tech. Here is a video on the role of Artificial Intelligence and its scope in the future. We have put together the best clips on Artificial Intelligence by the most well-known leaders and influencers such as Bill Gates, Tim Cook, Warren Buffett, Barack Obama, Elon Musk, Sundar Pichai and Jeff Bezos. The last few years have seen a number of techniques that have previously been in the realm of science fiction slowly transform into reality. We have brought to you the business leaders of today speaking about artificial intelligence, what is fascinating about AI, the latest AI projects and what's in store for the future of AI.

The holiday season is here and there are rafts of new associates manning registers and helping stores handle swarms of shoppers. But how are these associates finding their seasonal roles? Many retailers already use Artificial Intelligence (AI) in their recruiting systems for hiring the best and brightest seasonal help. Human resource tasks such as screening and hiring are more efficient and accurate thanks to the AI envisioned a few years ago and in operation today. Nevertheless, landing a good employee is only the first step in making this season a winning year for shopper loyalty, conversions, and same-store sales.

Big Data Analytics is a buzz word today and the skills in its related technologies such as artificial intelligence, machine learning, cloud computing and robotics for automation are driving the industry's growth. As per the recent report, the IT companies are laying off their employees in thousands and at the same time looking for these skills. It says, "After thousands were fired by Infosys and Cognisant in the past six months, as many as 200,000 more may be at risk of losing their jobs in the next year as companies seek people with new skillsets, according to recruitment experts." Two decades ago the people who face layoffs today had skills which were similarly valued. I lived through the IT revolution that began in the mid-1990s with the spread of the Internet into business and consequent changes in the way the business was done.

Wearing a pair of black-rimmed glasses and a red T-shirt, an eight-year-old Chinese boy is logged in for an online coding lesson -- as the teacher. Vita has set up a coding tutorial channel on the Chinese video streaming site Bilibili since August and has so far garnered nearly 60,000 followers and over one million views. He is among a growing number of children in China who are learning coding even before they enter primary school. The trend has been fuelled by parents' belief that coding skills will be essential for Chinese teenagers given the government's technological drive. 'Coding's not that easy but also not that difficult -- at least not as difficult as you have imagined,' says Vita, who lives in Shanghai.

UBank is embracing the industry shift to open data banking through a partnership with Australian fintech, Basiq, leveraging machine learning (ML) to give customers a more complete picture of their finances. The partnership hopes to offer customers predictions of future spending behaviours just by using their UBank app by 2020. This follows UBank launching its third artificial intelligence-based customer assistance offering earlier in the year, and what it claimed was the first digital human home loan application assistant. Dubbed'Mia', short for my interactive agent, the offering is built on digital human technology created by New Zealand company, FaceMe. It taps into IBM's Watson AI engine and designed to help consumers answer real-time questions during the home loan application process.

Such is the ideal scenario for every manager everywhere, right? Just assign that task to a trusted colleague and watch as the magic happens. Well, maybe that's a reality best expressed in a famous sci-fi TV series, but ... Science fiction often predicts the future quite accurately; and the 1990s future is, well, today! In other words, the vision espoused by Star Trek: Next Generation, in many ways can now be qualified as realistic, at least with respect to the dynamic use of data. Let's face it: Data drives the Information Economy, especially when modern technologies such as artificial intelligence and machine learning are trained on it.

Over the last two years, the ethical deployment of AI has been a growing concern for enterprises and technologists alike. But 2020 could be the year we really see it reach the forefront of AI development. According to Deloitte's second State of AI in the Enterprise survey, 32 percent of businesses rank ethical issues as one of the top three risks of AI, and most are yet to develop a specific approach to this problem. Meanwhile, 45 percent have appointed senior executives as AI champions – showing that AI is a growing strategic concern for enterprise leaders. What isn't clear is how this is going to affect the wider business landscape in 2020.

Professional networking platform LinkedIn unveiled the Top 15 Emerging Jobs in India for 2020, today. Blockchain Developer, Artificial Intelligence Specialist, and JavaScript Developer are likely to be the top roles in 2020. Among the non-technical profiles are Digital Marketing Specialist and Lead Generation Specialist. India adds 12 million people to its workforce every year. And, as automation makes inroads to the job market, humans are competing with machines to keep up.