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However, today’s chips take years to design, resulting in the need to speculate about how to optimize the next generation of chips for the machine learning (ML) models of 2-5 years from now. Dramatically shortening the chip design cycle would allow hardware to adapt to the rapidly advancing field of ML. What if ML itself could provide the means to shorten the chip design cycle, creating a more integrated relationship between hardware and ML, with each fueling advances in the other? 
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Aura connects to the existing cameras of the location you want to monitor. Thanks to a plug and play installation, Aura will be functioning almost instantly; while the results will be available in the next 24 hr. Besides the general demographic information such as age, (7 range are provided) and gender; Aura can, as well, help to monitor what the customer is doing. The latter is possible by providing: Footfall, Area dwell times, Heatmaps, Service wait times.
Farid Mheir's insight:
WHY IT MATTERS: Aura is a SaaS solution that I saw in recent technology shows where they use AI to analyze your camera feeds to report in real-time metrics about your store. Here the article is all about how pop-up stores can use this information to fine-tune their stores. But the use cases are endless.
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Google Cloud was named a Leader and received the highest score across all 10 Forrester New Wave™: Computer Vision Platforms, Q4 2019 evaluation criteria.
Farid Mheir's insight:
WHY IT MATTERS: AI has made its way into certain aspects of the business. Case in point: image analysis. As this report from Forrester shows there are many off the shelf solutions that one can leverage to ensure, for example, that images uploaded onto their website does not contain inappropriate content or can be analyze to identify their content. We leverage some in lepanierbleu.ca and there was no discussion that the technology was a must have from the get go.
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A new type of artificial eye, made by combining light-sensing electronics with a neural network on a single tiny chip, can make sense of what it’s seeing in just a few nanoseconds, far faster than existing image sensors.
Farid Mheir's insight:
WHY IT MATTERS: this is just cool to see that AI is starting to be embedded into silicon to deliver mind-blowing performance.
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Facebook uses over 20,000 deep features to characterize each account, providing a snapshot of how each profile behaves to make it difficult for attackers to game the system by changing tactics.
Farid Mheir's insight:
WHY IT MATTERS: Facebook uses large datasets to identify fake accounts. This article explains how. Also - video of the conference presentation: https://atscaleconference.com/videos/fighting-abuse-scale-2019-deep-entity-classification-an-abusive-account-detection-framework/ - description of the process: https://www.eyerys.com/articles/how-deep-entity-classification-ai-helped-facebook-remove-billions-fake-accounts
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It's like other Amazon Go stores, only bigger. But it's a meaningful difference. Interesting story on how a guy walked into an Amazon GO store and was able to steal things.
Farid Mheir's insight:
WHY IT MATTERS: since the launch of amazon GO convenience store in 2016, the concept of walk-in, grab stuff, leave, felt perfect for small orders (sandwich, drinks and cookies for lunch anyone). They just opened a grocery store now, which has the potential to disrupt the retail market more profoundly (Amazon bought WholeFood a while back). This article explains how the store works but also uncovers a flaw in the camera system: if you change your appearance during a visit the system can loose track of you. Interesting use case...
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Expert data scientists and other professionals working in data science roles require capabilities to source data, build models and operationalize machine learning insights. Significant vendor growth, product development and myriad competing visions reflect a healthy market that is maturing rapidly.
Farid Mheir's insight:
WHY IT MATTERS: machine learning is all about data and data analysis so no surprise that data analysis tools are exploding these days. The quadrant is interesting to ID the big players but jump to the end of the report for a market analysis that is worth the read.
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The proliferation of chatbots in the modern workplace calls for IT leaders to create a conversational platform strategy that ensures an effective solution for employees, customers and key partners.
Farid Mheir's insight:
WHY IT MATTERS: chatbots were supposed to solve all customer service issues. That was 5 years ago. Today, we see them deployed with limited value on websites mostly as pre-screeners to qualify leads. As Gartner proposes here, maybe their use is better within organizations to help workers be more productive. Or maybe we're just creating a new "clippy" office assistant (Microsoft circa 1998 https://en.wikipedia.org/wiki/Office_Assistant)
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Building the infrastructure to manage the lifecycle of machine learning models remains a challenge for most organizations. While we have seen tremendous advancements in machine/deep learning…
Farid Mheir's insight:
WHY IT MATTERS: always good to know what others are doing. Here, LinkedIn use of AI. The post has interesting link to LI engineering blog, worth reading.
wufbirhr@gmail.com's curator insight,
January 27, 2020 5:37 AM
Skincell Pro Aides in evacuating and eradiating skin problems like a wide range of moles, various types of moles and skin labels Aides in mending the skin of the influenced zone. Leaves no scar blemishes on the skin.
http://health4trend.com/skincell-pro/
https://health4trend.fashion.blog/2020/01/27/skincell-pro/ https://sites.google.com/site/skincellprosreum/ https://health4trend.tumblr.com/post/190491025719/skincell-pro-this-is-best-skin-care-serum http://health4trends.over-blog.com/2020/01/skincell-pro-6 https://health4trend.hateblo.jp/entry/2020/01/27/160218 https://medium.com/@samcurent689/what-is-skincell-pro-68d99c43fe00 https://health4trend.hateblo.jp/entry/2020/01/27/160218 https://www.saatchiart.com/art/Drawing-Skincell-Pro-Warning-Does-It-Really-Work-Or-Not-Must-Be-Read-Before-To-Buy/1476013/7239709/view
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A video explainer on the technology that’s changing the meaning of the human face.
Farid Mheir's insight:
WHY IT MATTERS: cameras are everywhere - phones, streets, home, office - and AI enables new capabilities that can present massive surveillance possibilities as well as personal protection and real-time data. This very well done video - as is the case with most VOX videos - should give you a good rundown of the plus and minuses...
Marcin Golczak 's curator insight,
December 19, 2019 4:11 AM
Ziwiające jak zwykłą aplikacja ułatwia nam korzystanie z telefonu lecz czy to na pewno bezpieczne
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A leading Canadian grocer will pilot automated fulfillment of its buy-online-pickup-in-store (BOPIS) offering. Loblaw Inc. is building an automated picking facility to support its PC Express BOPIS service. Leveraging a hyperlocal fulfillment solution from Takeoff Technologies that functions in compact vertical spaces, Loblaw will launch the 12,000-sq.-ft. facility inside one of its GTA Real Canadian superstores in 2020.
Farid Mheir's insight:
WHY IT MATTERS: order fulfillment and delivery is the last remaining hurdle to eCommerce. Loblaws in Canada will pilot a micro-fulfillment solution from TakeOff that impressed me last year at Shoptalk. In short, they create an automated back-store where eCommerce orders are prepared with a huge amount of automation. The question remains whether the economics is better for micro-fulfillment or if centralized warehouse fulfillment with hub-and-spoke delivery is better suited for high volume / low margin eCommerce that grocery is about. Thus this "test" by Loblaws. Note that Sobeys has decided in favor of more centralized ocado-driven automated warehouse and Metro remains with the more traditional decentralized (and manual) store-based pick-pack-deliver process. Given the low volume of orders for online grocery in Canada I remain partisan of a store-based manual approach but the economics I got from TakeOff was promising. Below additional links if you want to read more about takeoff and ocado.
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See below a chart comparing different out-of-stock solutions, their value proposition, challenges, benefits and costs to see how Focal's Shelf-Mounted Cameras stack up against the competition.
Farid Mheir's insight:
WHY IT MATTERS: technology is tackling manpower shortage in retail. Here an example of how cameras, robots and drones are leveraged to perform out-of-stock detection on store shelves. When you realize that certain store may have 25000 or more products, the time required to identify out-of-stocks for replenishment and the lost sales makes those technologies useful and cost effective.
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The State of Automation 2019: RPA, Intelligent Automation, and AI Solutions for insights on how to evaluate your smart automation journey.
Farid Mheir's insight:
WHY IT MATTERS: back-office manual tasks are being replaced - or at very least augmented - by new technologies including RPA, IA, AI. This report is a summary.
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SketchAdapt, program-writing artificial intelligence system, learns how to compose short, high-level programs, while letting a second set of algorithms find the right sub-programs to fill in the details.
Farid Mheir's insight:
WHY IT MATTERS: AI may actually kill the job of software development!
Marcin Jakub Sołtysiak's curator insight,
January 2, 2020 9:25 AM
Sztuczna inteligencja która potrafi programować
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What is wafer-scale integration? A wafer is a circle, today about 12 inches in diameter. A chip is typically a square no more than an inch on a side — much smaller than a wafer. Many copies of the same chip are printed onto the wafer. They are arranged into a grid with spaces called scribe lines between them. The wafer is then cut along those scribe lines into individual chips. The chips are tested, and after any defective ones are discarded, the rest can be packaged and sold. Wafer-scale integration is the idea that you make a single chip out of the whole wafer. You skip the step above concerning cutting the wafer up — with one chip there is nothing to cut.
Farid Mheir's insight:
WHY IT MATTERS: this new technology enables new possibilities for machine learning applications such as autonomous driving. Tesla has recently announced that every car since 2019 contains a special chip that enables autonomous driving. This wafer-scale technology takes the same concept to another level.
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The WSE (pronounced “wise”) is the largest commercial chip ever manufactured, built to solve the problem of deep learning compute. The WSE is 1.2 trillion transistors, packed onto a single 215mm x 215mm chip with 400,000 AI-optimized cores, connected by a 100Pbit/s interconnect. The cores are fed by 18 GB of super-fast, on-chip memory, with an unprecedented 9 PB/s of memory bandwidth.
Farid Mheir's insight:
WHY IT MATTERS: this article and accompanying PDF presentation dive into the technical details of how it is now possible to put 1 trillion transistor on a chip designed for the sole purpose of machine learning. This is a BIG DEAL. Slides and word document are here:
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Face detection is the ability of a computer program to identify and locate human faces in a digital image. Face detection is one of the most common applications of Artificial Intelligence. From camera applications in smartphones to Facebook’s tag suggestions, the use of face detection in applications is increasing every single day.
Farid Mheir's insight:
WHY IT MATTERS: few lines of code is all you need to do things that were considered impossible 5 years ago. With this powerful tool at their finger, expect pretty every website and system to include face detection and other image processing features to be included in the coming years. But few developers will know about the limitations of the technology, especially the biais that may exist in the training data. As in this example, you realize that the "confidence" has not been used in the example, but yet it seems to be an essential information to interpret the results. There will be many many errors due to this in the coming years before the technology really is fool proof.
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Superlatives abound at Cerebras, the until-today stealthy next-generation silicon chip company looking to make training a deep learning model as quick as buying toothpaste from Amazon. Launching after almost three years of quiet development, Cerebras introduced its new chip today — and it is a doozy.
Farid Mheir's insight:
WHY IT MATTERS: this is a BIG deal in hardware design. Being able to fabricate such a large system enables capabilities to a scale previously unheard of. Read this article for a high level overview, watch the next blog post for an in depth description.
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Use the 2019 Gartner Hype Cycle for Digital Marketing and Advertising to prioritize your marketing technology investments.
Farid Mheir's insight:
WHY IT MATTERS: Gartner recommends that marketers prioritize the following 6 tech this year. Do you?
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What’s next for retail tech? We examined 21 of the biggest retail trends to watch this year, ranging from automated checkout to inventory management.
Farid Mheir's insight:
WHY IT MATTERS this report presents and categorizes the retail trends in 2019. Some are technology-based (AR, VR, QR codes, ...) but all are technology-driven, even those that improve product or distribution (small stores, popup stores, store as fulfillment centers, localization, ...)
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ImageNet Roulette uses a neural network trained on the “people” categories from the ImageNet dataset to classify pictures of people. It’s meant to be a peek into the politics of classifying humans in machine learning systems and the data they’re trained on.
Farid Mheir's insight:
WHY IT MATTERS: ImageNet has 14M pictures categorized in 32000 categories and is often used as the training dataset for image recognition neural networks. Here this website allows you to upload an image and see how the system would categorize you. It is interesting to play with different images to see what the system returns in order to get a sense of the huge amount of data that AI systems require in order to do a good job. We are far away from systems that can classify any image in any context but if you have a special niche with sufficient amount of data, it is quite impressive what can be done in a relatively short amount of time.
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AI can flag people based on their clothing or behavior, identify people's emotions, and find people who are acting "unusual."
Farid Mheir's insight:
WHY IT MATTERS: video surveillance is going way beyond face recognition with numerous human activities that it can detect.
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Boston Dynamics only has 20 of the robots available right now, but it’s hoping to manufacture about 1,000 for use out in the field. So it has to be very choosy about who gets one. It hasn’t disclosed how much they will cost.
Farid Mheir's insight:
WHY IT MATTERS: this is a big deal because the Boston Dynamics robots appear to be the advanced and versatile. The fact that they are made commercially available is significant after years of being research project. You have to be in the market for an early device with lots of limitations but, looking down the road a few years, one has to start planning for robots to start making their way into practical use cases in construction, etc. Plus the videos are just fun to watch!
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Digital business transformation trailblazers who are actively promoting the adoption and use of artificial intelligence (AI) clearly need to be better at communicating, separating fact from science fiction. AI business champions must keep it real and stay focused on tangible business value. A data analytics, big data and AI pioneer shares how business leaders can effectively advocate for AI.
Farid Mheir's insight:
WHY IT MATTERS: machine learning is really powerful because it allows computer to tackle problems that were not possible to solve using traditional computer programming and software engineering techniques.
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By rolling out a device equipped with more advanced facial recognition technology, users can enjoy an even more convenient method of paying for goods and services without using smartphones. The Frog Pro features a 10.1-inch double-sided screen, a 3D depth-sensing camera for the facial recognition payment function and a QR code scanner
Farid Mheir's insight:
WHY IT MATTERS: this is the obvious killer app for facial recognition - it uses AI technology and similar hardware that iPhone uses to unlock your screen. You can now spend without any friction, not event the need to take your phone out of your pocket. Of course this raises obvious privacy and security concerns - but in China the concept of privacy appears different than in the West. But the most important factor is that Asia is deploying this *at scale* first, waaaaaaayyyy before the USA where you still have to sign paper slips for credit card transactions... Who is leading the techno war these days?
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Curated by Farid Mheir
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WHY IT MATTERS: always troubling when you first realize a computer can do your most difficult job better than you could.
I studied microelectronics in engineering school in the 1980s. I learned to create computer chips by placing and routing millions of components. It was the revolution of "silicon compilers", software that can place and route your design automatically instead of manually. But we had to write the program to control the compiler.
Bye-bye program and compiler it seems, as AI can now place and route billions of components better and faster than humans can. Oh, you are right, it is now possible for a computer to build another computer. And this is one more step towards the singularity...