On 19 September the chief executive of the Law Society, Catherine Dixon, delivered a keynote address at the International Bar Association conference in Washington DC. The Law Society is the professional body that represents more than 170,000 solicitors in England and Wales. Our vision is to be valued and trusted as a vital partner to represent, promote and support solicitors while upholding the rule of law, legal independence, ethical values and the principle of justice for all. We also fulfil an important public interest function which aims to ensure access to justice, protect human rights and freedoms and uphold the rule of law. As part of our work to develop our strategy, we published a piece of research to identify what the future will bring for the legal profession.

They were dismissed as stupid and primitive by the archaeologists who first studied their fossilised bones, but it seems Neanderthals may have been just as chatty as our own species. Researchers have discovered evidence that suggests Neanderthals may have used vocal communication just like our own species Homo sapiens. They used 3D scans to analyse the delicate ear bones from both the fossilised remains of Neanderthals and modern humans. Scientists have found evidence that suggests Neanderthals (reconstruction pictured) may have communicated vocally in similar ways to modern humans. Using highly detailed'micro-CT' scans they were able to reconstruct how the ear bones, or ossicles, would have functioned when Neanderthals were alive.

Investigators eager to uncover the genetic basis of autism could now have hundreds of promising new leads thanks to a study by Princeton University and Simons Foundation researchers. In the first effort of its kind, the research team developed a machine-learning program that scoured the whole human genome to predict which genes may contribute to autism spectrum disorder (ASD). The results of the program's analyses -- a rogue's gallery of 2,500 candidate genes -- vastly expand on the 65 autism-risk genes currently known. Researchers have recently estimated that 400 to 1,000 genes underpin the complex neurodevelopmental disorder. This newest research provides a manageable, "highly enriched" pool from which to pin down the full suite of ASD-related genes, the researchers said.

Decision Trees are a graphic and intuitive method of predicting the outcome of a given input. They attach a weightage to the input variables and help you clearly detect what really influences your outcome. Building a Decision Tree is a tedious procedure, as they have the tendency to overfit. That's where Random Forests come into the picture. Random Forests use an ensemble of Decision Trees, this reduces the complexities without compromising on the advantages.

The legal sector is more advanced in use its use, understanding and application of AI technologies, a New CenturyLink study suggests. Before 2015, the legal sector was one of the least technologically ept professions. But since then it has undergone an automation transformation. In history and practice, law has largely relied on lawyers and legal aids sifting through copious documents seeking evidence or precedents. A precedent is defined as'an earlier event or action that is regarded as an example or guide to be considered in subsequent similar circumstances', according to Google.

Genetic interaction occurs when two or more mutations in genes interact to produce an unexpected characteristic - with one affecting the other. For example, two mutations, that would not be lethal by themselves, can combine to cause the death of a cell. But the process by which genes and their mutations interact with each other is complex – as some are more likely to interact than others. Now researchers from the University of Toronto have created the world's first map that shows how genes in a cell interact. Now researchers from the University of Toronto created the world's first map that shows how genes in a cell interact.

LONDON--(BUSINESS WIRE)--According to the latest market study released by Technavio, the global artificial intelligence in education market is expected to grow at a CAGR of more than 39% during the forecast period. This research report titled'Global Artificial Intelligence in Education Market 2016-2020' provides an in-depth analysis of the market in terms of revenue and emerging market trends. This market research report also includes an up to date analysis and forecasts for various market segments and all geographical regions. "High student dropout rates coupled with macro-economic pressure to strengthen the general education levels is pushing educational institutions to adopt mechanisms to improve learning quality. Institutions are investing in artificial intelligence technologies, such as augmented reality and virtual reality, to positively impact the education industry," says Jhansi Mary, a lead analyst at Technavio for education technology research.

Robots' potential to take over the world is a commonly expressed fear in the world of AI, but at least one Turing Award winner doesn't see it happening that way. Rather than replacing mankind, technology will create a new kind of human that will coexist with its predecessors while taking advantage of new tech-enabled tools. So argued Raj Reddy, former founding director of Carnegie Mellon University's Robotics Institute and 1994 winner of the Turing Award, at the Heidelberg Laureate Forum in Germany last week. "I could not have predicted much of what has happened in AI," Reddy told an audience of journalists at a press conference. "Four or five things happened in AI in the last decade that I didn't think would happen in my lifetime," including achievements in language translation and AI's triumph at the game of Go.

If you're a software engineer (or someone who's learning the craft), chances are that you've heard about deep learning (which we'll sometimes abbreviate as "DL"). It's an interesting and rapidly developing field of research that's now being used in industry to address a wide range of problems, from image classification and handwriting recognition, to machine translation and, infamously, beating the world champion Go player in four games out of five. A lot of people think you need a PhD or tons of experience to get a job in deep learning, but if you're already a decent engineer, you can pick up the requisite skills and techniques pretty quickly. Important point: You need to have motivation and be able to code and problem solve well. Here at Deepgram we're using deep learning to tackle the problem of speech search.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)