IBM has joined efforts to build a fully autonomous ship capable of journeying across the Atlantic. The tech giant announced on Wednesday that it will participate in a global consortium designed to help materialize the ship, called the Mayflower, which will make the same voyage as its namesake that originally carried pilgrims to what's now the continental US. Once completed, the self-navigating craft is slated to make a 3,000-mile journey across the Atlantic on September 2020 - a date that coincides with a 400-year anniversary for the original Mayflower's voyage. Using artificial intelligence designed by IBM, the Mayflower is being built to adeptly avoid ocean obstacles and complete it's journey from Plymouth England to Plymouth Massachusetts free of any human intervention. IBM and partner Promare, a marine research organization, are positioning the ship as a way of advancing research via reducing barriers like cost and human resources.
Algorithms are increasingly making choices for young people, from recommending new TV shows to the friends they meet. But when machines are so intelligent that they can make all these decisions, who is actually responsible? Andrea Catherwood hosts a debate at the BBC Blue Room annual conference with Anne Longfield, Children's Commissioner for England, Dr Nejra van Zalk, lecturer in psychology at Imperial College London, Hanna Adan, documentary maker and Neil Lawrence, DeepMind Professor of Machine Learning at the University of Cambridge.
A rare disease drugs firm co-founded by the discoverer of Viagra has raised $56m (£44m) to use artificial intelligence for finding new medicines. Healx uses AI to examine potential beneficial side effects of existing treatments which could also treat rare ailments. The firm was co-founded in 2014 by David Brown, who discovered Viagra in the 1990s as a side effect of medicine for high blood pressure. It started as a project at the University of Cambridge. Dr Brown said: "We're taking safe drugs that are already optimised, provided the potency is good enough, we can go straight to the clinic."
All around the world, from small-town Illinois in the US to Rochdale in England, from Perth, Australia, to Dumka in northern India, a revolution is under way in how governments treat the poor. You can't see it happening, and may have heard nothing about it. It's being planned by engineers and coders behind closed doors, in secure government locations far from public view. Only mathematicians and computer scientists fully understand the sea change, powered as it is by artificial intelligence (AI), predictive algorithms, risk modeling and biometrics. But if you are one of the millions of vulnerable people at the receiving end of the radical reshaping of welfare benefits, you know it is real and that its consequences can be serious – even deadly.
"I bought the first version of this book, and now also the second. The new version is very comprehensive. If you are using Python - it's almost a reference. I also like the emphasis on neural networks (and TensorFlow) - which (in my view) is where the Python community is heading. I am also planning to use this book in my teaching at Oxford University. The data pre-processing sections are also good. I found the sequence flow slightly unusual - but for an expert level audience, it's not a major issue."
All around the world, from small-town Illinois in the US to Rochdale in England, from the Pacific shore of Perth, Australia, to Dumka in northern India, a revolution is under way in how governments treat the poor. You can't see it happening, and may have heard nothing about it. It's being planned by engineers and coders behind closed doors, in secure government locations far from public view. Only mathematicians and computer scientists fully understand the sea change, powered as it is by artificial intelligence (AI), predictive algorithms, risk modeling and biometrics. But if you are one of the millions of vulnerable people at the receiving end of the radical reshaping of welfare benefits, you know it is real and that its consequences can be serious – even deadly.
AI has revolutionised various fields. Many industries are rapidly adopting AI to help their workforce in everyday operations, and it is predicted that 1.5 million jobs in England will be replaced by the technology. While in some cases AI has worked to benefit people and relieve humans of repetitive and mundane tasks, the rapid advancement of AI has also left ethically questionable'solutions' that are worth discussing. Below, we'll be looking at various applications of AI in workforce management and beyond. We'll be covering the benefits as well asking whether AI in the workforce is ethically irresponsible with examples from the UK and around the world.
Notwithstanding the question of bias, AI can have a positive social impact - for example, by automating large amounts of processes that currently depend on human labor but exact a steep cost on the individuals performing that labor. One such instance is identifying and stopping the spread of child abuse images on the dark web. Another example of AI's ability to relieve pressure on human agents and produce better outcomes us provided by Annie MOORE, developed by researchers at the Universities of Oxford and Lund. The software matches refugees to locations based on their needs and skills and the availability of resources and opportunities, and is increasing the likelihood of someone finding employment within three months by more than 20 per cent as well as improving their chances of integrating into their new communities. This data processing power is also, through machine learning, accelerating the development of new models for understanding how the world is changing - ClimateAI, for instance, has developed a forecasting engine for the agriculture and energy sectors that can model the impact of climate change on asset values over time periods ranging from a single season to an entire decade.
Scientists from the University of Kentucky say they're working to perfect a technique to digitally unravel fragile ancient texts that haven't been read in nearly 2,000 years. W. Brent Seales, who heads the University of Kentucky's Digital Restoration Initiative, told CNN he and his research team just returned from a trip to England where they took detailed images of the scrolls from the ancient Roman city of Herculaneum, using a facility called a synchotron. This synchotron, the Diamond Light Source, accelerates electrons to nearly the speed of light, so that they emit light 10 billion times brighter than the sun. The synchotron tunes energy to be "very focused, like a laser," Seales said. "The waves go right through very quickly."
Autumn is as good a season to learn natural language processing as any other, and why not do so with quality, free online courses? This is a collection of just such free, quality online NLP courses, from such esteemed institutions of learning as Stanford, Oxford, University of Washington, and UC Berkeley. There are also offerings from independent sources like Yandex Data School, and even a short practical course on spaCy by one of its creators and co-founder of the company which steers its development. So whether you are looking for theoretical or practical, or are a beginner or an advanced learner, the content included herein won't fail on living up to the promise of being 10 free top notch natural language processing courses. So dig in and learn NLP today.