A few days ago I found out that there had appeared lda2vec (by Chris Moody) – a hybrid algorithm combining best ideas from well-known LDA (Latent Dirichlet Allocation) topic modeling algorithm and from a bit less well-known tool for language modeling named word2vec. And now I'm going to tell you a tale about lda2vec and my attempts to try it and compare with simple LDA implementation (I used gensim package for this). What is cool about it? It means that LDA is able to create document (and topic) representations that are not so flexible but mostly interpretable to humans. Also, LDA treats a set of documents as a set of documents, whereas word2vec works with a set of documents as with a very long text string.

Britain's fertility regulator is meeting to decide whether or not to allow so-called'three-parent baby' treatments for inherited diseases (stock image used) Mexican clinic plans 20 three-parent babies in 2017:... Crop spray makes wheat 20% larger... and it's GM free!... The robotic arm you can control with your MIND: Researchers... Thinking with your hands can boost creativity: Children who... Mexican clinic plans 20 three-parent babies in 2017:... Crop spray makes wheat 20% larger... and it's GM free!... The robotic arm you can control with your MIND: Researchers... Thinking with your hands can boost creativity: Children who... A fertility clinic in Mexico which helped a couple to conceive the world's first'three-parent baby' says it plans to conceive a further 20 babies using the technique in the first half of 2017 (stock image used) WHY IS THE METHOD CONTROVERSIAL? Dr John Zhang, head of the New York City embryonic team, holds the world's first'three-person' baby after the boy was born in Mexico in April.

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Safeguarding the data is at the heart of security, more critical than protecting the network or perimeter. CIOs need to pick up where traditional security tools end and investigate AI cybersecurity digital safety nets.

Self-driving-cars are notoriously difficult to test for safety. Hotz writes in an email, "It's not my code, I did not release it"--Comma.ai Inc. "released and maintains it." Most legal experts that spoke with IEEE Spectrum--and Hotz himself--believe that if you use the company's code and something goes wrong, then it isn't liable for damages. But Consumer Watchdog advocate John Simpson doesn't believe this is fair.

Analysts at global investment manager Bernstein believe the "age of industrialization is coming to an end," with robots set to destroy manufacturing jobs globally. That may not sound seismic. After all, the industrial revolution happened hundreds of years ago and manufacturing jobs have been the minority of all jobs in the West for decades. But Bernstein is arguing that the nature of capitalism is undergoing a fundamental change. Analysts Michael W. Parker and Alberto Moel argue that Adam Smith's Wealth of Nations, the foundational textbooks of economics, is becoming redundant because of two trends: the rise of robotics and China's modernising economy.

Technology and artificial intelligence have advanced so much that many traditionally human-held jobs are now performed by robots and this trend toward automation is only gaining strength. Thus, human workers are gradually becoming obsolete, including those with roles like restaurant workers and truck drivers. Automation has already caused an increase in unemployment, as the number of jobs available to humans simply diminishes. According to Elon Musk, founder and CEO of Tesla and SpaceX, eventually the only option will be a universal basic income (or UBI) for the whole country. With UBI, each person receives a regular check from the government.

This is a guest post. The views expressed here are solely those of the authors and do not represent positions of IEEE Spectrum or the IEEE. Killer robots are on the agenda of a major United Nations meeting in Geneva this week. As part of a U.N. disarmament conference, participating countries are deciding on Friday whether or not to start formal discussions on a ban of lethal autonomous weapons following on from three years of informal discussions. Last July, thousands of researchers working in AI and robotics came together and issued an open letter calling for a pre-emptive ban on such weapons.

Uber's rollout of a self-driving car program in San Francisco got off to a bad start Wednesday when state regulators ordered the ride-hailing giant to shut the initiative down until it gets a $150 permit from California's Department of Motor Vehicles. Uber earlier said it didn't need a permit as humans are always at the wheel. "It is illegal for the company to operate its self-driving vehicles on public roads until it receives an autonomous vehicle testing permit," Brian Soublet, the DMV's deputy director and chief counsel, said in a letter to Anthony Levandowski, the head of Uber's driverless vehicle program. "Any action by Uber to continue the operation of vehicles equipped with autonomous technology on public streets in California must cease until Uber complies." The San Francisco-based company, which began a similar self-driving car program for Pittsburgh commuters in September, didn't immediately provide a comment on the DMV's announcement.

With the amount of published research, patents, white papers, and other written knowledge out there, it's hard to be even reasonably sure you're aware of the goings-on around a certain topic or field. Omnity is a search engine made to make it easier by extracting the gist of documents you give it and finding related ones from a library of millions -- and now supports over a hundred languages. The process is simple and free, at least for the public-facing databases Omnity has assembled, comprising U.S. patents, SEC filings, PubMed papers, clinical trials, Library of Congress collections, and more. You upload a document or text snippet, and the system scans it, looking for the least common words and phrases -- which generally indicate things like topic, experiment type, equipment used, that sort of thing. It then looks through its own libraries to find documents with similar or related phrases that appear in a manner that suggests relevance. For example, say you put in the results of your clinical trial testing a food additive on a certain strain of mice, and found it resulted in a certain condition.