The edge partition model (EPM) is a fundamental Bayesian nonparametric model for extracting an overlapping structure from binary matrix. The EPM adopts a gamma process ($\Gamma$P) prior to automatically shrink the number of active atoms. However, we empirically found that the model shrinkage of the EPM does not typically work appropriately and leads to an overfitted solution. An analysis of the expectation of the EPM's intensity function suggested that the gamma priors for the EPM hyperparameters disturb the model shrinkage effect of the internal $\Gamma$P. In order to ensure that the model shrinkage effect of the EPM works in an appropriate manner, we proposed two novel generative constructions of the EPM: CEPM incorporating constrained gamma priors, and DEPM incorporating Dirichlet priors instead of the gamma priors. Furthermore, all DEPM's model parameters including the infinite atoms of the $\Gamma$P prior could be marginalized out, and thus it was possible to derive a truly infinite DEPM (IDEPM) that can be efficiently inferred using a collapsed Gibbs sampler. We experimentally confirmed that the model shrinkage of the proposed models works well and that the IDEPM indicated state-of-the-art performance in generalization ability, link prediction accuracy, mixing efficiency, and convergence speed.

Zong Qinghou, the CEO of one of China's largest companies, announced plans to set up a research center at the University of Haifa focusing on artificial intelligence. The Chinese Academy of Sciences will also be a research partner.

AI technology is the real buzz these days. The potential it holds is obviously immense. Many artificial intelligence companies are trying their level best to implement AI technology for few good reasons. One is obviously to take the first movers advantage and other is beating their competitors. While many companies claim that it's going to help mankind in future in ways no one could've imaged a few years ago, there is still a possible threat to the Artificial Intelligence future.

Indian government has constituted a task force on artificial intelligence (AI) to digitize big industries of the country. Task force comprises of experts, academics, researchers including state owned defense research institution DRDO and industry leaders. It will explore possibilities to leverage AI for development across various fields. "With rapid development in the fields of information technology and hardware, the world is about to witness a fourth industrial revolution. Driven by the power of big data, high computing capacity, artificial intelligence and analytics, Industry 4.0 aims to digitize the manufacturing sector," Nirmala Sitharaman, India's Minister of Commerce & Industry said.

Recently I attended a Data Science conference – full with celebrated & experienced speakers, nice looking agenda having multiple tracks and attended by a large number of industry professionals. What I took away from the conference was 2 days of networking, bunch of exchanged visiting cards and may be one good session which was useful for the data scientist inside me to some degree. Most of the sessions talked about Analytics / Data Science from a very high level to be useful for me. The same use cases – Alexa using Deep Learning or Target being able to predict a pregnancy in advance or Google driverless cars being slapped in sessions after sessions! This is not the first time this happened to me – this actually happens almost every time I attend an event like this.

The legend of a shipwreck off the coast of Manzanita stretches back to the early 19th century, when a fur trader noticed Native Americans trading in beeswax despite there being no native honeybees in Oregon. To this day, beachcombers periodically find blocks of beeswax and pieces of fine china around Short Sands beach and the Nehalem Spit.

DUBAI – Iran said on Saturday it had successfully tested a new ballistic missile with a range of 2,000 km (1,200 miles) and would keep developing its arsenal despite U.S. pressure to stop. The United States has imposed unilateral sanctions on Iran, saying its missile tests violate a U.N. resolution, which calls on Tehran not to undertake activities related to missiles capable of delivering nuclear weapons. Iran says it has no such plans. U.S. President Donald Trump said on Twitter the missile test illustrates the weakness of the Iran nuclear deal reached by his predecessor Barack Obama. He also linked the action to recent aggressive moves by North Korea.

OW Tai Zhi, co-founder and chief investment officer of AutoWealth, was working for a family office in 2013 when a friend walked in, plonked a S$200,000 cheque on his table, and asked him to invest his money. "I'd been helping rich people get richer," Mr Ow says. "A lot of friends and family around me kept saying: 'Help us, we are the people who deserve more help'." Out of that formative experience grew the realisation that perhaps there was something revolutionary he could bring to the asset management table. There was already a high level of frustration directed against capitalism's standard-bearers: the fund managers who invest our money in unit trusts, the banks and insurers who take a hefty cut for distributing these products, and the wealth advisers who require high minimums. The solution, for forward-thinkers like Mr Ow, was software.

At the vast, windswept White Sands Missile Range in New Mexico earlier this year, nearly a dozen military contractors armed with laser guns, high-tech nets and other experimental systems met to tackle one of the Pentagon's most vexing counterterrorism conundrums: how to destroy the Islamic State's increasingly lethal fleet of drones. The militant group has used surveillance drones on the battlefield for more than two years. But an increase in deadly attacks since last fall -- mostly targeting Iraqi troops and Syrian militia members with small bombs or grenades, but also threatening American advisers -- has highlighted the terrorists' success in adapting off-the-shelf, low-cost technology into an effective new weapon. The Pentagon is so alarmed by this growing threat -- even as it routs the Islamic State from its strongholds in Mosul, Iraq, and Raqqa, Syria -- that it has launched a $700 million crash program overseen by two senior Army generals to draw on the collective know-how and resources of all branches of the armed services, Silicon Valley and defense industry giants like Boeing and Raytheon to devise tactics and technology to thwart the menace. One important piece of that effort was the contest in New Mexico.

A robot dentist has carried out the first successful autonomous implant surgery by fitting two new teeth into a woman's mouth, mainland media has reported. Although there were human medical staff present during the operation, they did not play an active role while it was being carried out. The one-hour procedure took place in Xian, Shaanxi, on Saturday, according to Science and Technology Daily. The implants were fitted to within a margin of error of 0.2-0.3mm, The technology was designed to overcome mainland China's shortage of qualified dentists and frequent surgical errors.