In 1952, Professor Sandy Douglas created a tic-tac-toe game on the EDSAC, a room-sized computer at the University of Cambridge. One of the first ever computer games, it was developed as part of a thesis on human-computer interaction. Forty-five years later, in 1997, another milestone occurred when IBM's Deep Blue machine defeated Garry Kasparov, the world chess champion. This was followed by Watson, again created by IBM, which appeared on the Jeopardy! Yet another breakthrough was Google's DeepMind AlphaGo, which in 2016 defeated the Go world champion Lee Se-dol at a tournament in South Korea.

A US drone strike killed two suspected members of al-Qaeda in southern Yemen, said a security official and residents. Saturday's raid in Ahwar, in the southern province of Abyan, killed two suspected fighters on a motorbike, the security official said. It came after two days of intensive air strikes by US warplanes on fighters in the war-torn country. Tribal sources and residents said another drone fired at a crowd of suspected al-Qaeda militants in al-Saeed, in the adjacent province of Shabwa, but there were no reports on casualties in that incident. On Friday, the Pentagon said it carried out "somewhere over 30" strikes against al-Qaeda in the Arabian Peninsula (AQAP) in two days, conducted in partnership with the Yemeni government.

Spectral clustering is amongst the most popular methods for community detection in graphs. A key step in spectral clustering algorithms is the eigen-decomposition of the $n{\times}n$ graph Laplacian matrix to extract its $k$ leading eigenvectors, where $k$ is the desired number of clusters among $n$ objects. This is prohibitively complex to implement for very large datasets. However, it has recently been shown that it is possible to bypass the eigen-decomposition by computing an approximate spectral embedding through graph filtering of random signals. In this paper, we prove that spectral clustering performed via graph filtering can still recover the planted clusters consistently, under mild conditions. We analyse the effects of sparsity, dimensionality and filter approximation error on the consistency of the algorithm.

We present a new random sampling strategy for k-bandlimited signals defined on graphs, based on determinantal point processes (DPP). For small graphs, ie, in cases where the spectrum of the graph is accessible, we exhibit a DPP sampling scheme that enables perfect recovery of bandlimited signals. For large graphs, ie, in cases where the graph's spectrum is not accessible, we investigate, both theoretically and empirically, a sub-optimal but much faster DPP based on loop-erased random walks on the graph. Preliminary experiments show promising results especially in cases where the number of measurements should stay as small as possible and for graphs that have a strong community structure. Our sampling scheme is efficient and can be applied to graphs with up to $10^6$ nodes.

Google announced Friday that it has achieved state-of-the-art results in using artificial intelligence to identify breast cancer. The findings are a reminder of the rapid advances in artificial intelligence, and its potential to improve global health. Google used a flavor of artificial intelligence called deep learning to analyze thousands of slides of cancer cells provided by a Dutch university. Deep learning is where computers are taught to recognize patterns in huge data sets. With 230,000 new cases of breast cancer every year in the United States, Google (GOOGL, Tech30) hopes its technology will help pathologists better treat patients.

In an era of maturing artificial intelligence technology, what does the future of the corporation look like? Will the rise of robots help us do our jobs better, or harm them? This dynamic has become a mainstay of the dialogue around AI, with voices from technology visionaries such as Bill Gates and Stephen Hawking weighing in. But at Fortune's Most Powerful Women International Summit in Hong Kong on Tuesday, leaders at two of the world's most powerful tech giants pushed back on those concerns. AI is intended to help--not hinder--the human workforce, they said.

More than two years after a multi-sided civil war erupted inside Yemen that allowed Al Qaeda's local franchise to amass power and seize territory, President Trump has directed the Pentagon to embark on a complicated counter-terrorism campaign. Trump's decision, just six weeks into his presidency, intends to reverse the largely unchecked expansion across southern Yemen of the group, Al Qaeda in the Arabian Peninsula. The willingness to expand counter-terrorism operations inside war-torn Yemen was the latest signal that Trump is more willing to defer to military commanders on national security policy than President Obama, who was criticized publicly by three of his four Defense secretaries and privately by uniformed officers for micromanaging the military. Over two days this week, armed drones and warplanes conducted more than 30 airstrikes against suspected Al Qaeda positions in three Yemeni provinces, marking the first U.S. attacks in the country since an ill-fated Navy SEAL raid in January that killed two dozen civilians, including women and children, Al Qaeda militants and Chief Petty Officer William "Ryan" Owens. The aerial bombardment is expected to continue into the coming week.

The company in charge of the ruined Fukushima No. 1 nuclear plant revealed Thursday it needed new ideas to design robots capable of surviving the high levels of radiation inside the site's reactors, which were damaged in a 2011 earthquake and its resulting tsunami. The Tokyo Electric Power Company (Tepco) has hit a new obstacle since being tasked with cleaning up the worst nuclear incident since the 1986 Chernobyl disaster in the Soviet Union. The exploratory robot, specially designed to navigate the underwater sections of the reactor, died last month after being exposed to "unimaginable" levels of radiation nearly nine times more potent than the previous highest dose recorded. Naohiro Masuda, president of Tepco's Fukushima Daiichi Decommissioning project, told reporters that the company had to rethink its methods in order to examine and extract the hazardous material stuck in the plant's second reactor. "We should think out of the box so we can examine the bottom of the core and how melted fuel debris spread out," Masuda said, according to the Japan Times.

I wrote a blog the other day for The Next Web. I thought it was OK, and it has gained a lot of traction socially. Apparently, people like it and here I'm going to expand on the basic theme to give a detailed analysis of how fintech wings are spreading. There's been a lot of talk about fintech lately. We talk about the billions of dollars being invested in fintech; the wave of unicorns and startups in this space; the challenge they bring to banks and incumbents; the way in which they're reaching new spaces and places – but what is fintech?

Businesses and business units of all sizes can benefit from cloud computing, but many don't want the cost, performance and security concerns of public cloud nor the complexity of building their own private clouds. Today, some cloud vendors are using artificial intelligence (AI) to simplify cloud deployment and management. In his session at 20th Cloud Expo, Ajay Gulati, Co-founder and CEO of ZeroStack, will discuss how AI can simplify cloud operations. He leads ZeroStack's innovative team and corporate strategy. He was a senior architect and R&D lead at VMware where he designed flagship products including Storage I/O control, Storage DRS and DRS.