Facebook has added a food delivery option to its website and app. The social network now lets users order meals directly from the Facebook home page, with the experience powered by either Slice or Delivery.com, On the app, users have started seeing a blue burger icon in the main menu, and a colourful burger icon now sits in the sidebar on the site. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

A Kodi add-on has been discontinued because of the legal issues surrounding people's use of the open-source software. Kodi itself isn't illegal, but third-party add-ons built by developers can allow users to access illegal streams for sports events, TV shows and films through it. Users can download Kodi and find and install these add-ons themselves, but the process isn't straightforward. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Ford Motor Co. is expected to announce on Monday the replacement of President and CEO Mark Fields with board member Jim Hackett. Hackett is also head of the company's smart mobility unit, which is focused on its ride-hailing and car-sharing efforts. According to several reports, the move is due to the automaker's recent disappointing profits and stock price, which has dropped nearly 40 percent since Fields took over in 2014. Fields, 56, has worked at the company for 28 years, and previously served as CEO of then Ford-owned Mazda, and president of The Americas. Ford has not officially confirmed Field's departure, and issued a statement to Automotive News that said, "we are staying focused on our plan for creating value and profitable growth.

China's Shaanxi province is famous for being the start of the Silk Road, an ancient trade network where silk and spices were transported by camel across the Asian continent. Soon, the central Chinese province will be recognized for a different form of transport. Chinese e-commerce provider JD.com said Monday it is developing heavy-duty drones capable of delivering payloads weighing one ton or more, which it plans to deploy in Shaanxi. JD, China's No. 2 e-commerce company after Alibaba Group Holding Ltd., in 2016 started delivering small packages via drone as a way to bring online orders to shoppers in remote rural villages. Its fleet of about 30 drones have already been bringing shipments to customers in the remote areas of Beijing, and in Sichuan, Jiangsu, Shaanxi and Guizhou provinces, which are home to more than 230 million people.

Back in 2007, when London was booming as the financial capital of the world, a new field called "algorithmic trading" was emerging. In essence, it is about leveraging Artificial Intelligence to place bets on financials markets faster than any human can. Like most PhD students doing AI, I was working with banks to help them build their trading algorithms, which back then represented about 3% of their activity. Fast forward to 2017, and this type of trading represents over 90% in some cases, almost completely replacing human traders in big banks. One of those victims turned out to be my own dad, a trader who worked passionately for over 40 years.

The world's largest private equity fund, backed by Japan's SoftBank Group and Saudi Arabia's main sovereign wealth fund, said on Saturday it had raised over $93bn to invest in technology sectors such as artificial intelligence and robotics. "The next stage of the Information Revolution is under way, and building the businesses that will make this possible will require unprecedented large-scale, long-term investment," the SoftBank Vision Fund said in a statement. Japanese billionaire Masayoshi Son, chairman of SoftBank, a telecommunications and tech investment group, revealed plans for the fund last October and since then it has obtained commitments from some of the world's most deep-pocketed investors. The new fund made its announcement during the visit of President Donald Trump to Riyadh and the signing of tens of billions of dollars worth of business deals between US and Saudi companies. Son was also in Riyadh on Saturday.

This article was originally published at 9:30 p.m.

For all of the visions of robots taking over the world, stealing jobs and outpacing humans in every facet of existence, we haven't seen many cases of AI drastically changing industries or even our day-to-day lives just yet. For this reason, media and AI deniers alike question whether true broad-scale AI even exists. Some go as far as to conclude that it doesn't. The answer is a bit more nuanced than that. Current AI applications can be broken down into three loose categories: Transformative AI, DIY (Do It Yourself) AI, and Faux AI.

Various problems in data analysis and statistical genetics call for recovery of a column-sparse, low-rank matrix from noisy observations. We propose ReFACTor, a simple variation of the classical Truncated Singular Value Decomposition (TSVD) algorithm. In contrast to previous sparse principal component analysis (PCA) algorithms, our algorithm can provably reveal a low-rank signal matrix better, and often significantly better, than the widely used TSVD, making it the algorithm of choice whenever column-sparsity is suspected. Empirically, we observe that ReFACTor consistently outperforms TSVD even when the underlying signal is not sparse, suggesting that it is generally safe to use ReFACTor instead of TSVD and PCA. The algorithm is extremely simple to implement and its running time is dominated by the runtime of PCA, making it as practical as standard principal component analysis.

Identifying a set of homogeneous clusters in a heterogeneous dataset is one of the most important classes of problems in statistical modeling. In the realm of unsupervised partitional clustering, k-means is a very important algorithm for this. In this technical report, we develop a new k-means variant called Augmented k-means, which is a hybrid of k-means and logistic regression. During each iteration, logistic regression is used to predict the current cluster labels, and the cluster belonging probabilities are used to control the subsequent re-estimation of cluster means. Observations which can't be firmly identified into clusters are excluded from the re-estimation step. This can be valuable when the data exhibit many characteristics of real datasets such as heterogeneity, non-sphericity, substantial overlap, and high scatter. Augmented k-means frequently outperforms k-means by more accurately classifying observations into known clusters and / or converging in fewer iterations. We demonstrate this on both simulated and real datasets. Our algorithm is implemented in Python and will be available with this report.