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- In this article we present several marketing trends that are defining this digital age and help companies to make their offer more attractive and competitive in the new year.
- With the further development of VR we can expect companies to use this technology for helping customers to experience their products in the best possible way.
- Currently VR is mainly used for gaming company promotion, but soon tour agencies will take people to Bahamas even before they book their flight and real estate agents will make more detailed home tours to buyers… all with a little help from virtual reality technology.
- Bans and blocks are definitely not a good way to tackle ad blocking, and marketers and publishers need to ask themselves why internet users are so frustrated with their ads.
- Ad blockers are here to stay, and marketers will need to adjust to this new software by finding more creative ways to engage their audience.
Business Consultant Nate M. Vickery discusses 2017 Marketing Trends on Bootstrap Business by Digital Marketer & Entrepreneur Mike Schiemer.
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- Apple Inc. introduced Face ID facial recognition system on September 12, 2017, with the launch of iPhone X and claimed that even high-quality masks such as those used in Hollywood movies couldn’t trick its security system.
- It turned out Apple was right because all it took for security researchers to fool Face ID was a specially crafted mask, not a Hollywood one.
- Before going any further, this is what senior vice president of worldwide marketing at Apple Mr. Phil Schiller said about Face ID system during the iPhone X event: – – “Apple engineering teams have even gone and worked with professional mask makers and makeup artists in Hollywood to protect against…
- More: Anti-surveillance mask enables you to pass as someone else – – However, now, the IT security researchers at Bkav claimed to have bypassed Face ID with a 3D-printed frame, makeup, silicone nose and 2D images along with special processing on the cheeks and around the face, where there are large skin…
- “So, after nearly 10 years of development, face recognition is not mature enough to guarantee security for computers and smartphones,” said Bkav.
Apple Inc. introduced Face ID facial recognition system on September 12, 2017, with the launch of iPhone X and claimed that even high-quality masks such as
The post All it took for researchers was a mask to bypass iPhone X Face ID appeared first on Artificial Intelligence.
- This post is the second part of the multi-part series on a complete tensorflow tutorial – – – If you have tensorflow already installed, you can just skip to the next section.
- Below we have the different data types in supported by Tensorflow.
- Note: Quantitized values [qint8, qint16 and quint8] are special values for tensorflow that help reduce the size of the data.
- In fact, Google has gone to the extent of introducing Tensorflow Processing Units (TPUs) to speed up computation by leveraging quantitized values – – We will quickly generate some data to get started.
- In the next part, we will finally be ready to train our first tensorflow model on house prices.
In this multi-part series, we will explore how to get started with tensorflow. This tensorflow tutorial will lay a solid foundation to this popular tool that…
The post Tensorflow Tutorial : Part 2 – Getting Started appeared first on Artificial Intelligence.
- RFC: Synapse Yellow PaperTL;DR: Yellow paper here.At Synapse we’re building a global decentralized brain that anyone can help build and tap into.Decentralized topologies look alike, whether they’re the internet or the pathways in our brain.When the team originally launched the very first version of our white paper we included everything we were…
- We ended up with a bunch of feedback that resulted with us creating more of a marketing brochure rather than any technical exposition.We’ve set-out to create that experience inside our yellow paper.
- The balance between verbosity, succinctness, and technical detail, without being pseudo-technical is what we’re striving for.
- This is an open, living, and versioned document so expect revisions and upgrades.This is also a Request For Comment (RFC) so we’re looking for feedback from the community on what more we can add or explain, and any contributions anyone would like to add.Best,The Synapse TeamCome visit with us on…
When the team originally launched the very first version of our white paper we included everything we were thinking about, all the questions, and answers that had come up while architecting the…
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- In the meantime, some of the major opportunities for brands to engage with consumers is through the creation of high-quality VR and AR content, such as Nike’s VR experience where viewers can feel like they are Neymar juggling a soccer ball with Nike cleats.
- Simply put, people are now addicted to consuming social media content and brands need to understand how to fit within this new social world.
- Even if you choose not to use so>cial media content for advertising, take note how it can quickly evolve consumer tastes and how products now fit into social media.
- This means in the next few years consumers will have a drastic increase in expected quality of customer service from companies and problems will need to be solved effectively.
- Companies ought to take this time to prepare their consumer relations departments to ensure they have chatbots established on social media, customer helplines if needed, and overall orient customer service as a priority.
While it’s easy to sing the praises of technology, it is important to understand what innovation is significant and what will largely be uninfluential.
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- Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing generalizability.
- Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing model generalizability.
- Many times a correct feature selection allows you to develop simpler and faster Machine Learning models.
- In a time when ample processing power can tempt us to think that feature selection may not be as relevant as it once was, it’s important to remember that this only accounts for one of the numerous benefits of informed feature selection — decreased training times.
- As Zimbres notes above, with a simple concrete example, feature selection can quite literally mean the difference between valid, generalizable models and a big waste of time.
Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing generalizability.
The post The Practical Importance of Feature Selection appeared first on Artificial Intelligence.
- 3D object reconstruction from a single image is a highly under-determined problem, requiring strong prior knowledge of plausible 3D shapes.
- In this work, we propose an end-to-end trainable framework, sequentially estimating 2.5D sketches and 3D object shapes.
- First, compared to full 3D shape, the 2.5D sketch is much easier to be recovered from the 2D image, and to transfer from synthetic to real images.
- Second, for 3D reconstruction from the 2.5D sketches, we can easily transfer the learned model on synthetic data to real images, as rendered 2.5D sketches are invariant to object appearance variations in real images, including lighting, texture, etc.
- Third, we derive differentiable projective functions from 3D shapes to 2.5D sketches, making the framework end-to-end trainable on real images, requiring no real-image annotations.
MarrNet
The post MarrNet: 3D Shape Reconstruction via 2.5D Sketches appeared first on Artificial Intelligence.
- This ability to have better training and adjustments can let AI write code to improve other AI.
- Speaking of murky ethical areas, discussion about AI laws will also be a hot topic of 2018.
- Systems of law will have to figure out who will be responsible for these AI actions, such as the previously discussed autonomous cars and self-learning machines.
- Hot topics will include lethal autonomous weapons, job losses and how fair those AI algorithms really are.
- 2018 is going to be a game-changer for AI, and thus a game-changer for the world.
Different Types of Artificial Intelligence and the Names to Watch in 2018
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