Using proprietary robotics technology, Sally can dispense and accurately measure 21 different healthy ingredients, including romaine, kale, seared chicken breast, Parmesan, California walnuts, cherry tomatoes and Kalamata olives. The Chowbotics' robot precisely measures each salad ingredient, ensuring that the customer order contains the exact number of calories listed on Sally's digital menu. Chowbotics CEO and founder Deepak Sekar says that fast food restaurants with Sally serving up salads will attract more health-conscious patrons, as her recipes with their healthy ingredients contain far fewer calories than the typical 400 calorie options available at many quick-serve restaurants and salad bars. "Sally is the next generation of salad restaurant," Sekar told the San Francisco Chronicle.
The platform, provided by Blue Yonder, uses big data and machine learning to predict exactly what stock is needed based on historic sales data, as well as outlying variables like the weather surrounding each individual store, nearby events and, in cases where the AI gets the prediction wrong, it can learn from its mistakes.
Reports suggest that a collection of the world's leading tech companies, including Microsoft, Apple, Samsung, Huawei, LG, Acer, Intel, Meta, Magic Leap, and ODG are all planning to double down on mixed reality (MR) this year by bringing affordable devices to the masses. Coupled with advanced computer vision, eye tracking and machine learning are vital ingredients for implementing the next-generation of "visual" search engines. While we await further news surrounding advancements and mass market distribution plans for these highly anticipated first-gen MR devices, mobile AR is still the best solution for brands looking to test and learn for the short term. Keith Curtin is an Entrepreneur, Brand Marketing Executive & Founder of See Digital, a consultancy firm specializing in augmented reality, virtual reality & mixed reality.
Amazon (AMZN) began testing a no-checkout grocery store called Amazon Go in downtown Seattle in December. In addition to Amazon Go, the company has opened two click-and-collect drive-through grocery stores in Seattle, also only for staff as the technical bugs are worked out. Instead of waiting in a checkout line, customers simply tap their cellphones on a turnstile as they walk into the store, which logs them into the store's network and connects to their Amazon account through an app. The system uses machine learning, sensors and artificial intelligence to track items customers pick up, which are added to the virtual cart on their app.
If you have more than one Echo or Echo Dot, Alexa responds intelligently from the Echo you're closest to with ESP (Echo Spatial Perception). Buying a certified refurbished Dot typically saves you 10%, but right now Amazon is offering a 16% discount on that discount, so you'll be paying just $37.99 -- a total 24% discount over its "brand new" counterpart. Amazon's certified refurbished program ensures you'll receive a product that looks and functions good as new, complete with a warranty, so there's not much to worry about here. This story, "Save 24% on Amazon's Echo Dot By Buying Certified Refurbished Right Now - Deal Alert" was originally published by TechConnect.
Have used this Think Tank Artificial Intelligence 15 V3.0 Laptop Bag for a few months now, but it's one that has exceeded my expectations by quite a bit. There's an expandable front pocket that opens wide enough for your computer accessories, and there's an organizer inside. I regularly pack my notebook computer's external power supply in the expandable front pocket, along with a small USB hard drive, cables, pens, small notepads and such. This laptop bag has interior dimensions in the main pocket of about 10¼" wide x 14½" long and 1¾" thick, so if yours will fit, then this is a great choice.
Power management: AI can monitor energy usage and save electricity by intelligently turning on and off lighting and appliances based on activity in the said regions of the hotel and by precisely controlling the cooling and heating systems to optimize guest comfort and energy usage. Security: AI and robots can assist in the security infrastructure by monitoring the premises for scrupulous activity and report any mishaps. Power management: AI can monitor energy usage and save electricity by intelligently turning on and off lighting and appliances based on activity in the said regions of the hotel and by precisely controlling the cooling and heating systems to optimize guest comfort and energy usage. Security: AI and robots can assist in the security infrastructure by monitoring the premises for scrupulous activity and report any mishaps.
Since I think that much of our society fails to appreciate the economic and social effects of technology, the book addresses matters that, in my opinion, need more of society's attention. The author believes that the future impact of AI will likely mirror that of other technological advances; in other words, that with time AI will be viewed as simply another tool to be employed for good or ill. You should be aware that the book takes time examining philosophical issues such as can intelligence be defined or accurately measured (probably not in the author's view), what are free will and consciousness (difficult to define in humans and probably impossible to define in machines) and feelings (whether computers will ever have feelings is mostly a matter of a human's personal choice). Will artificially intelligent machines ever rule over us (probably not, but no one's 100% sure)? Maybe if we get enough of these machines connected and operated under a range of algorithms, then humans may discover that, as a large number of water molecules are "wet," a large interconnection of computers suitably programmed may start to look "intelligent," whatever we may mean by that.
A fair amount of our data science projects involve machine learning, and many parts of this workflow are repetitive. Model Diagnostics: Learning curves, partial dependence plots, feature importances, ROC and other diagnostics are extremely useful to generate automatically. AML is a powerful set of techniques for faster data exploration as well as improving model accuracy through model tuning and better diagnostics. The above case study highlights AML's capability to improve model accuracy, however we have realized AMLs other benefits as well.