See also 26 Photos Over-the-air wireless charging will come to the smartphone Samsung’s CES 2019 robots just want to give you a helping hand The weirdest, wackiest products from the show See all our CES coverage 2020 Kia Telluride review: Kia’s new SUV has big style and bigger value CES 2019: See all of CNET’s coverage of the year’s biggest tech show. CES schedule: It’s six days of jam-packed events. Here’s what to expect. Intel Mobileye’s autonomous cars in Jerusalem Share your voice More From Roadshow Auto Tech Car Industry 0 CES 2019 Tags Post a comment 2020 BMW M340i review: A dash of M makes everything better Intel Autonomous cars are already here, but the “here” is pretty much limited to the greater Phoenix, Arizona, area — and even then only if you happen to be one of the lucky few granted early access to Waymo’s pilot program. Self-drivers will be everywhere eventually, and thanks to a partnership announced today at CES 2019 in Las Vegas, we got a better idea of when we can expect them to be operational in Beijing: 2022. Mobileye, the driver assistance and autonomy startup acquired by Intel in 2017, is partnering with Beijing Public Transport Corporation (BPTC) to deploy the company’s AV Kit there in some shape by 2022. AV Kit is basically an all-encompassing retrofit kit including everything a car needs to be made autonomous, including sensors, software and processing hardware. By combining an AV Kit with an existing car, you can have it up and driving itself. 2020 Hyundai Palisade review: Posh enough to make Genesis jealous This is the second such partnership for Mobileye, the first being with Volkswagen to launch an autonomous ride-hailing service in Israel sometime this year. No further details are available, except that cars will operate at Level 4 autonomy, which is to say they’ll still rely on human control in some situations. In other words, even in 2022 we humans won’t be quite obsolete yet. So, maybe put down the sticks and stones.
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Walmart is pushing further into tech. Nicholas Kamm/AFP/Getty Images Walmart has named former Google, Amazon, Microsoft and IBM exec Suresh Kumar as its chief technology officer, a newly created position. Kumar will use his experience in e-commerce, cloud and machine learning for the role, Walmart said in a blog post Tuesday.First spotted by CNBC, Kumar will report directly to CEO Doug McMillon, who said Kumar “has a unique understanding of the intersection of technology and retail.””The technology of today and tomorrow enables us to serve our customers and associates in ways that weren’t previously possible,” McMillon added.At Google, Kumar served as vice president and general manager of display, video, app ads and analytics. At Microsoft, he was corporate vice president of cloud infrastructure and operations. He spent 15 years at Amazon, including as vice president of technology for retail.Walmart has been pushing more into tech, last week launching a range of Walmart tablets running Android Pie.They come in 8-inch and 10-inch varieties costing $64 and $79. Both run on the Android 9 operating system, have a 1.3GHz quad-core processor, 2GB of RAM and 16GB of ROM storage.Walmart is also selling a 10.1-inch tablet with detachable keyboard for $99.They all have a 2-megapixel rear camera, a 0.3-megapixel front-facing camera, a 2.5D touchscreen, and a resolution of 800×1,280.Walmart, looking to compete more with Amazon, launched one-day shipping this month. Walmart Amazon Google IBM Microsoft Share your voice Mobile Tech Industry Online 0:55 Android Pie Preview • Android Pie works like the iPhone X these two ways Tags How To • Android Pie 9.0: 4 settings you need to change Now playing: Watch this: Post a comment 0 What Amazon’s one-day shipping means for you
Close That would have been a happy outcome for the party. It ‘s always nice to see your cattle fatten themselves on the neighbour’s field while your own sickle (and hammer) hangs lazily from the eave.All eyes will be on Thiruvananthapuram and Pathanamthitta on May 23. Will BJP win these two seats and manage to push the CPM or the Congress to the third position in a couple of other seats?If that happens, the backlash would be complete for the Left. The flicker of anger in Pinarayi’s eyes is portentous!(The author is Managing Editor, International Business Times, India. Views are personal) BJP national president Amit Shah joins Jana Raksha Yatra in TrivandrumTwitter@BJP4IndiaKerala Chief Minister Pinarayi Vijayan once again treated media persons like dregs. When a journalist asked him about the voter turnout in Wednesday’s polling, the CM shouted him down saying ‘keep away from here’. Why the CM was upset with a question on high voter turnout in Kerala is a no-brainer though.For, the increased polling percentage is the crux of the post-poll analysis in Kerala now.Kerala saw 77.68 percent voting, the highest in 30 years in the Lok Sabha elections. It was nearly 4 percentage points higher than the 2014 turnout of 74 percent. Historically, the Left Front Vijayan leads has suffered badly each time the voter turnout was higher than 75 percent.A UDF upper hand in Kerala in this elections has been factored in, even by the CPI-M cadres. Realistically the party insiders don’t hope to win the 2014 tally of eight seats. Winning as many would be a great win for CPI-M under the circumstances.Therefore, the CM’s angry reaction does signal that the prognosis is worse. For the Left, what’s worse than a UDF landslide is the possibility of BJP winning a few seats in Kerala. The CPI-M kept the BJP at bay for long, paying a heavy price in the process. In 2014 LS elections, the Left front flipped its own cadre votes to the Congress candidate in Thiruvananthapuram in order to keep BJP out of the electoral sweepstakes in the state. That’s a ‘sacrifice’ the Left has done many a time in the past.The barrage breaching? However, it looks like CPI-M and Pinarayi Vijayan fear that this barrage may have been breached this time. What does a BJP win in any of the Kerala seats mean? First and foremost, a BJP win will mean the rejection of the whole political argument the Left built up through the various phases of the Sabarimala agitation.In a worst case scenario, what if the BJP wins a couple of seats and manages to come to an even keel with the Left’s tally? That would be more than a momentary loss of face. The CPI-M will have to re-imagine its voter base. For long it was backed up the majority Hindu demographics. But if BJP has successfully poached into that turf, what’s the Left left with? The UDF has always been a ‘minority front’ that enjoys the support of the sizeable Muslim and Christian population in the state. Prime Minister Narendra Modi is addressing a public rally in Kathua, Jammu and Kashmir on April 14.The CPI-M loves to believe that, in fighting BJP violently, it’s keeping a fascist party at bay. There’s a narcissistic streak in the party. It loves itself too much to fatally ignore its own fascist stripes. It feigns to be the bulwark against fascism, but ends up as the most fearsome proponent of the politics of bloodshed. All in the name of secularism!What makes the CPI-M hate BJP so violently? Ideology? Yes of course, it’s there. But more than that, the Left sees in the rear view mirror another ‘Hindu party’ racing fast and catching up with them. Shorn of lofty ideologies, it’s a dog fight for the turf and an attractive voter base. This election is a crucial touchstone.A ‘secular’ consolidation that didn’t happen?Sure, the Left in Kerala will not be washed out if the BJP wins an LS seat in Kerala. A couple of seats for the BJP in a spreadsheet dominated by the Left would have been brushed aside happily. Rather it could have been interpreted as the demise of the Congress in Kerala. But what if the Congress-led UDF wins a lion’s share of the seats and the Left and BJP end up with a couple of seats each? That will be the most unpalatable scenario for the party and a daunting challenge for it to deal with in future. It’s not clear if that will happen in Kerala. But Vijayan’s angry outburst betrays some misgivings.CPI-M’s tactical positioning in Sabarimala was dictated by the demands of realpolitik. It was a given that BJP, the national ruling party, was on the ascendancy in Kerala. By taking a stand against faith and conventions in Sabarimala, the Left wanted to create a straight-laced secular Vs communal paradigm. They figured out that while all that’s theirs would remain theirs, all that’s Congress’s would also become theirs. The Left calculated that the majority Hindu voters would desert Congress and join forces with the BJP while the minorities would flock to them in a ‘secular’ consolidation. Two women under 50 enter Kerala’s Sabarimala temple
The head teacher of a Government Primary School was found dead in Dumuria village of Adamdighi upazila of Bogura district on Friday morning.The deceased is Abdur Rashid, 50, head teacher of Dumuria Government Primary School and a resident of the village.Local people found the body of Abdur Rashid one kilometre away from his residence around 8:00am and informed police.On Information, police recovered the body and sent it to a local hospital morgue for an autopsy.Police said the body bore several stabbing marks.Quoting his family members, police said Abdur Rashid came out of his house around 10:00pm on Thursday for feeding fish at his pond and went missing.
So it was, with artist Sun I-Yu when she first visited India more than 10 years ago. In her on going exhibition Colours of India, she has put together a series of oil paintings and crystal sculptures reflecting her impressions of the country.For her colour and beauty in India is not mere theory, it is a practical expression of national identity, shaped by religious devotion and a long and proud cultural heritage. In artist Sun L-Yu’s words ‘Indians are magicians when it comes to matching colours – putting orange with purple evokes celebrations and festivals, deep blue with dark green portrays serenity, yellow and fuchsia is vivid and full of vitality. Men’s turbans, too, display a distinct sense of character, reflecting the personality of the wearer and speaking of firmness of purpose’. Also Read – ‘Playing Jojo was emotionally exhausting’Besides the wealth, she saw the poverty in the country, but was particularly struck by the breathtaking colours that she witnessed all around. On that very first trip, she was captivated by the dazzling spectrum of hues of even the simplest garments. Then, after seeing them again and again over several years, she gained a firm sense of the vibrant spirit that runs through daily life in this country. Over the course of her visits to India, she has endeavoured to capture in her painting the pure, vibrant visual sensation of the country.When: 12th December, 11 am onwardsWhere: Lokayata Artists Gallery Hauz Khas Village
Winter festivities and celebrations are gaining pace in the national Capital, where the stage is set for families to dive into the festive celebrations and to enjoy to their heart’s content.In a bid to boost tourism in the city, Delhi Tourism is organising ‘Winter Carnival’ from December 18-27 at Dilli Haat, INA and ‘X-Mas Carnival’ from December 25-27 at Dilli Haat, Janak Puri. To mark the beginning of the festive season, guests and visitors can look forward to a unique Christmas bazaar at both Dilli Haats, which is the main attraction and in order to build up the excitement, Santa Claus would be moving around the venue distributing candies to charm the little ones. To create a unique atmosphere, Church of Delhi would conduct singing of Christmas carols and cultural programmes every evening in order to light up the mood of the visitors. Dilli Haat Janakpuri will organise various other events like camel rides, joy rides, food delicacies of other states, cakes and chocolate stalls, adventure parks and handloom and handicraft stalls.
Introduced by Apple, CoreML is a machine learning framework that powers the iOS app developers to integrate machine learning technology into their apps. It supports natural language processing (NLP), image analysis, and various other conventional models to provide a top-notch on-device performance with minimal memory footprint and power consumption. This article is an extract taken from the book Machine Learning with Core ML written by Joshua Newnham. In this article, you will get to know the basics of what CoreML is and its typical workflow. With the release of iOS 11 and Core ML, performing inference is just a matter of a few lines of code. Prior to iOS 11, inference was possible, but it required some work to take a pre-trained model and port it across using an existing framework such as Accelerate or metal performance shaders (MPSes). Accelerate and MPSes are still used under the hood by Core ML, but Core ML takes care of deciding which underlying framework your model should use (Accelerate using the CPU for memory-heavy tasks and MPSes using the GPU for compute-heavy tasks). It also takes care of abstracting a lot of the details away; this layer of abstraction is shown in the following diagram: There are additional layers too; iOS 11 has introduced and extended domain-specific layers that further abstract a lot of the common tasks you may use when working with image and text data, such as face detection, object tracking, language translation, and named entity recognition (NER). These domain-specific layers are encapsulated in the Vision and natural language processing (NLP) frameworks; we won’t be going into any details of these frameworks here, but you will get a chance to use them in later chapters: It’s worth noting that these layers are not mutually exclusive and it is common to find yourself using them together, especially the domain-specific frameworks that provide useful preprocessing methods we can use to prepare our data before sending to a Core ML model. So what exactly is Core ML? You can think of Core ML as a suite of tools used to facilitate the process of bringing ML models to iOS and wrapping them in a standard interface so that you can easily access and make use of them in your code. Let’s now take a closer look at the typical workflow when working with Core ML. CoreML Workflow As described previously, the two main tasks of a ML workflow consist of training and inference. Training involves obtaining and preparing the data, defining the model, and then the real training. Once your model has achieved satisfactory results during training and is able to perform adequate predictions (including on data it hasn’t seen before), your model can then be deployed and used for inference using data outside of the training set. Core ML provides a suite of tools to facilitate getting a trained model into iOS, one being the Python packaged released called Core ML Tools; it is used to take a model (consisting of the architecture and weights) from one of the many popular packages and exporting a .mlmodel file, which can then be imported into your Xcode project. Once imported, Xcode will generate an interface for the model, making it easily accessible via code you are familiar with. Finally, when you build your app, the model is further optimized and packaged up within your application. A summary of the process of generating the model is shown in the following diagram: The previous diagram illustrates the process of creating the .mlmodel;, either using an existing model from one of the supported frameworks, or by training it from scratch. Core ML Tools supports most of the frameworks, either internal or as third party plug-ins, including Keras, Turi, Caffe, scikit-learn, LibSVN, and XGBoost frameworks. Apple has also made this package open source and modular for easy adaption for other frameworks or by yourself. The process of importing the model is illustrated in this diagram: In addition; there are frameworks with tighter integration with Core ML that handle generating the Core ML model such as Turi Create, IBM Watson Services for Core ML, and Create ML. We will be introducing Create ML in chapter 10; for those interesting in learning more about Turi Create and IBM Watson Services for Core ML then please refer to the official webpages via the following links: Turi Create; https://github.com/apple/turicreate IBM Watson Services for Core ML; https://developer.apple.com/ibm/ Once the model is imported, as mentioned previously, Xcode generates an interface that wraps the model, model inputs, and outputs. Thus, in this post, we learned about the workflow of training and how to import a model. If you’ve enjoyed this post, head over to the book Machine Learning with Core ML to delve into the details of what this model is and what Core ML currently supports. Read Next Emotional AI: Detecting facial expressions and emotions using CoreML [Tutorial] Build intelligent interfaces with CoreML using a CNN [Tutorial] Watson-CoreML: IBM and Apple’s new machine learning collaboration project