The group has taken advantage of a more than two-year-old civil war between the Iran-aligned Houthi group and President Abd-Rabbu Mansour Hadi's Saudi-backed government to strengthen its position in the impoverished country.

Seven-year-old Chen Jiahao has a problem sum he can't solve and he can't wait to get home from school to pose the question to his all-knowing maths tutor. His tutor is amazing, the boy says. Just snap a photograph of the question and the tutor will provide every possible approach to solve the problem, step by step – all in a split second. It is, in fact, an app that draws on artificial intelligence (AI) technology to solve challenging maths problems for primary school children. And it's just one of many AI-enabled apps Jiahao uses daily on his mother's phone.

Drones have already become common, but with commercial ones being tested by the likes of Google and Amazon, the government will sooner or later have to step in and determine how they should be managed. The Federal Aviation Administration (FAA) is working on remote identification system for drones, which would ensure their safety. It held a meeting with stakeholders such as Amazon and Ford and the New York Police Department on June 21 and releases a press statement later. Currently drones weighing over half a pound need to have ID tags, but this identification system might not work well, as seeing the ID tags while the drone is mid-air is near impossible. "The Aviation Rulemaking Committee considered issues such as existing regulations applicable to drone identification and tracking, air traffic management for drones, concerns and authorities of local law enforcement, and potential legal considerations. The group developed some preliminary questions and identification parameters, and reviewed a sample of existing identification technologies."

LONDON (Reuters) - The world's leading drug companies are turning to artificial intelligence to improve the hit-and-miss business of finding new medicines, with GlaxoSmithKline unveiling a new $43 million deal in the field on Sunday. Other pharmaceutical giants including Merck & Co, Johnson & Johnson and Sanofi are also exploring the potential of artificial intelligence (AI) to help streamline the drug discovery process. The aim is to harness modern supercomputers and machine learning systems to predict how molecules will behave and how likely they are to make a useful drug, thereby saving time and money on unnecessary tests. AI systems already play a central role in other high-tech areas such as the development of driverless cars and facial recognition software. "Many large pharma companies are starting to realise the potential of this approach and how it can help improve efficiencies," said Andrew Hopkins, chief executive of privately owned Exscientia, which announced the new tie-up with GSK. Hopkins, who used to work at Pfizer, said Exscientia's AI system could deliver drug candidates in roughly one-quarter of the time and at one-quarter of the cost of traditional approaches.

The problem with regulating technology companies is that, faced with tough new rules, they can eventually innovate their way out, often by switching to newer, unregulated technologies. The risk of targeted regulation informed by little other than economic doctrines might even be fuelling a corporate quest for eternal disruption: instead of surrendering to the regulators, technology firms prefer to abandon their old business model. It's through this lens that we should interpret the likely fallout from the €2.4bn fine imposed on Alphabet, Google's parent company, by the European commission. It arrives after a lengthy, seven-year investigation into whether the company abused its dominance to promote its own online shopping service above search results. The commission's case seems sound; the sad fate of small online retailers, unable to compete with Alphabet over the past decade, suggests as much.

The United States appears poised to heighten scrutiny of Chinese investment in Silicon Valley to better shield sensitive technologies seen as vital to U.S. national security, current and former U.S. officials tell Reuters. Of particular concern is China's interest in fields such as artificial intelligence and machine learning, which have increasingly attracted Chinese capital in recent years. The worry is that cutting-edge technologies developed in the United States could be used by China to bolster its military capabilities and perhaps even push it ahead in strategic industries. The U.S. government is now looking to strengthen the role of the Committee on Foreign Investment in the United States (CFIUS), the inter-agency committee that reviews foreign acquisitions of U.S. companies on national security grounds. An unreleased Pentagon report, viewed by Reuters, warns that China is skirting U.S. oversight and gaining access to sensitive technology through transactions that currently don't trigger CFIUS review.

Topic models have been extensively used to organize and interpret the contents of large, unstructured corpora of text documents. Although topic models often perform well on traditional training vs. test set evaluations, it is often the case that the results of a topic model do not align with human interpretation. This interpretability fallacy is largely due to the unsupervised nature of topic models, which prohibits any user guidance on the results of a model. In this paper, we introduce a semi-supervised method called topic supervised non-negative matrix factorization (TS-NMF) that enables the user to provide labeled example documents to promote the discovery of more meaningful semantic structure of a corpus. In this way, the results of TS-NMF better match the intuition and desired labeling of the user. The core of TS-NMF relies on solving a non-convex optimization problem for which we derive an iterative algorithm that is shown to be monotonic and convergent to a local optimum. We demonstrate the practical utility of TS-NMF on the Reuters and PubMed corpora, and find that TS-NMF is especially useful for conceptual or broad topics, where topic key terms are not well understood. Although identifying an optimal latent structure for the data is not a primary objective of the proposed approach, we find that TS-NMF achieves higher weighted Jaccard similarity scores than the contemporary methods, (unsupervised) NMF and latent Dirichlet allocation, at supervision rates as low as 10% to 20%.

The FAA is still trying to figure out the best way to regulate drones to ensure safety. Last week, a committee tasked with tackling the issue met for the first time, including representatives from Amazon, Ford and NYPD. One of the items discussed was a better way to identify registered drones from the ground since any ID numbers are pretty much invisible while the UAV is airborne. This could be a workable solution for commercial drones, but since a Washington, DC court struck down the FAA's registration requirement for personal machines last month, a remote ID system isn't the answer for all of the UAVs flown in the US -- right now, at least. As Recode notes, Congress is working to restore mandatory registration which would be key to tying a drone to its owner for the purposes of any remote identification.

"Lordy, I hope there are tapes," said an exasperated James Comey in his testimony before the Senate Intelligence Committee on June 8. Comey's desire reflects a familiar one for individuals accused of lying when the stakes are high. The former FBI director wished for tapes because, in our society, audio and video recordings serve as a final arbiter of truth. He said, she said always loses to what the tape shows. Greg Allen (@Gregory_C_Allen) is an adjunct fellow at the Center for a New American Security.

The Order of Canada marks its 50th anniversary this year with 99 new appointments on its Canada Day honours list, including renowned figures from the fields of law, government, entertainment and sport, as well as Canadians whose contributions are less widely known. The list includes soccer star Christine Sinclair, television host Alex Trebek, actor Catherine O'Hara and Globe and Mail editorial cartoonist Brian Gable. Three people were named to the highest rank, Companion of the Order of Canada: former Supreme Court Justice Marshall Rothstein, National Arts Centre president Peter Herrndorf and The Prince of Wales. Nineeteen people were named Officers of the Order of Canada, including former spymaster Richard Fadden, hockey player Mark Messier and actor Michael Myers. There were 77 people named as members of the Order, including opera singer Tracy Dahl, historian Bill Waiser, public health nurse Cathy Crowe and Indigenous leader Terrance Paul.