WASHINGTON – Ford scuttled a plan to build a new factory in Mexico Tuesday following criticism from Donald Trump, and just hours after the president-elect attacked General Motors for importing Mexican-made cars into the US. Following months of criticism from Trump for its investments in Mexico, Ford said it was spiking a plan to build a new $1.6 billion plant in San Luis Potosi, and would instead invest $700 million over the next four years to expand its Flat Rock Assembly Plant in Michigan to build electric and self-driving vehicles. Ford chief executive Mark Fields said the second-biggest U.S. automaker was hopeful Trump's policies will boost the U.S. manufacturing environment. "It's literally a vote of confidence around some of the pro-growth policies that he has been outlining and that's why we're making this decision to invest here in the U.S. and our plant here in Michigan," Fields told CNN. Earlier, GM became the latest multinational to end up in Trump's line of fire -- via Twitter as usual -- with the president-elect threatening to impose a tariff on GM's imports of a small number of Mexican-made Chevy Cruze cars to the U.S. Trump took to Twitter again to crow about the Ford reversal.

Ford Motor Co. said Tuesday it was scrapping plans to build a $1.6-billion factory in Mexico and would invest $700 million to expand a Michigan plant to build electric and autonomous vehicles that will add 700 jobs there in a move Ford's chief executive said was a "vote of confidence" in the economic policies of President-elect Donald Trump. Ford isn't abandoning expanded production in Mexico. The company said that to "improve company profitability" it would build its next-generation Ford Focus at an existing plant in Hermosillo, Mexico. But in the wake of criticism by President-elect Donald Trump of the U.S. automaker and other companies moving manufacturing jobs across the border, Ford said it would cancel its plans for a major new plant in San Luis Potosi, Mexico. A company news release didn't mention Trump, but Chief Executive Mark Fields told CNN on Tuesday that the new plans were "a vote of confidence" in the direction of the U.S. economy under the president-elect.

Ford Motor Co. said Tuesday it was scrapping plans to build a $1.6-billion factory in Mexico and would invest $700 million to expand a Michigan plant to build electric and autonomous vehicles that will add 700 jobs there in a move Ford's chief executive said was a "vote of confidence" in the economic policies of President-elect Donald Trump. Ford isn't abandoning expanded production in Mexico. The company said that to "improve company profitability" it would build its next-generation Ford Focus at an existing plant in Hermosillo, Mexico. But in the wake of criticism by President-elect Donald Trump of the U.S. automaker and other companies moving manufacturing jobs across the border, Ford said it would cancel its plans for a major new plant in San Luis Potosi, Mexico. A company news release didn't mention Trump, but Chief Executive Mark Fields told CNN on Tuesday that the new plans were "a vote of confidence" in the direction of the U.S. economy under the president-elect.

This is the 2-part blog version of a talk I've given at DOAG Conference this week. I've also uploaded the slides (no ppt; just pretty R presentation;-)) to the articles section, but if you'd like a little text I'm encouraging you to read on. That is, if you're in the target group for this post/talk. For this post, let me assume you're a SQL girl (or guy). With SQL you're comfortable (an expert, probably), you know how to get and manipulate your data, no nesting of subselects has you scared;-).

Most of the important archaeological sites in Central America were "discovered" by archaeologists who, in fact, didn't discover them at all but were led to the ruins by local people. I've known several Maya archaeologists who routinely started fieldwork in a new area by heading into a dive bar and hoisting beers with the locals while listening to various bullshitters spin tales about ruins they'd seen in the jungle; once in a while, a story would turn out to be true. But, because these sites were long known to local people, they had invariably been disturbed, if not badly looted. The revelation of an ancient city in a valley in the Mosquitia mountains, of Honduras, one of the last scientifically unexplored regions on Earth, was a different story. This was the first time a large archaeological site had been discovered in a purely speculative search using a technology called LIDAR, or "light detection and ranging," which can map terrain through the thickest jungle foliage, an event I chronicled in a story for the magazine in 2013.

This book of projects highlights how TensorFlow can be used in different scenarios – this includes projects for training models, machine learning, deep learning, and working with various neural networks. Each project provides exciting and insightful exercises that will teach you how to use TensorFlow and show you how layers of data can be explored by working with Tensors. Simply pick a project that is in line with your environment and get stacks of information on how to implement TensorFlow in production. Rodolfo Bonnin is a systems engineer and PhD student at Universidad Tecnológica Nacional, Argentina. He also pursued parallel programming and image understanding postgraduate courses at Uni Stuttgart, Germany.

The $\mathcal{G}_I^0$ distribution is able to characterize different regions in monopolarized SAR imagery. It is indexed by three parameters: the number of looks (which can be estimated in the whole image), a scale parameter and a texture parameter. This paper presents a new proposal for feature extraction and region discrimination in SAR imagery, using the geodesic distance as a measure of dissimilarity between $\mathcal{G}_I^0$ models. We derive geodesic distances between models that describe several practical situations, assuming the number of looks known, for same and different texture and for same and different scale. We then apply this new tool to the problems of (i)~identifying edges between regions with different texture, and (ii)~quantify the dissimilarity between pairs of samples in actual SAR data. We analyze the advantages of using the geodesic distance when compared to stochastic distances.

We'll come right out and say it: 2016 wasn't the greatest year by any standards. In particular, divisive politics and celebrity death seemed to cast a long shadow over the last 12 months. There was the occasional ray of light poking through the clouds though. Especially in technology, which is what brings us all together here at Engadget. Over the last year, we've tried to bring you as many of those uplifting stories (even if they are bittersweet) as possible, to provide a little respite from 2016's emotional hailstorm.

Historically, more than half of the sales through eBay Inc.'s online auction site are made overseas. There was a problem, though: Users on the site saw only listings posted in their preferred language. People could change their settings and browse the site in different languages, one at a time. But they had little visibility into products and goods listed in languages other than the selected one. With different sellers posting the same items in a variety of languages, this meant that individual users were only seeing a segment of all the listings for a given product.

Internet of Things (IoT) has brought everything connected through internet. Increase application of smart devices are enabling us to collect big data on a regular basis. The data gathered are becoming more complex and uncertain and therefore artificial intelligence (AI) came into picture. AI can efficiently deal with the difficulties created by big data. Artificial Intelligence is basically the simulation of logical human thinking using computer technology.