Third Wave / No Full Robotic process Automation Anytime Immediately / New Moore Law: “Huang’s Law” / Computer-Aided Biology / Forgotten Neural Networks Below
The Great Wave has almost arrived! Before moving on to some of this week’s Antidisciplinarian content, the announcement of my favorite event in my heart, the annual Good Business House meeting (full disclosure: I work on the board), would like to invite you. This year will be something different and completely new: a hybrid – visible, inside a person, and everything in between – a festival: The Great Wave.
I have already introduced you to this booklet and if you may or may not miss it, here is a brief description: “Occurring from October 16-19, 2020, the Great Wave will bring together thousands of businesses and nonprofit leaders, founders, technologists, artists, philosophers, policymakers, and scientists all over the world to bring our company, our organizations, and us back to this point of humanity. Virtual and personal, globally and locally, internally and externally, in cities and environments, alone and integrated, The Great Wave is a rare event of extraordinary times. With small events in 36 local venues, meetups, and outdoor activities around the world, as well as online and audio programs on Zoom, WhatsApp, Soundcloud, and a new immersive 3D environment called Journee, The Great Wave will incorporate a carefully curated collection of online and offline experiences, including talks and activities from more than a hundred contributors, advanced classes, cultures, community tests, deep downs, homework assignments, and field trips. “
Man and Machine
Why Amazon Stores and Tesla Auto Plants Won’t Go 100% Robotic Process Automation Any Time Soon.
“People are despised,” Elon Musk said on Twitter after plans to take over the Tesla factory were completely independent. Investigators agree that large-scale betting on the robotic automation process is more likely to keep failed tests than successful (Sony’s PlayStation Factory has become a leading seller, based on accounts). Although the media say that robotic process automation is a way around COVID-19, many companies are dangerous in delivering equipment: only 1.3% of firms have used robots so far. Erik Brynjolfsson, director of the Stanford Digital Economy Lab, and Matt Beane, an assistant professor in technology management at the University of California, recently wrote Working With Robots in a Post-Pandemic World for MIT Sloan MR, in which they argued that money was growing ( “plug-and-play models of settings such as repositories”) have a better chance of success than great betting. Brynjolfsson and Beane spoke to CNBC in their research on robotic process automation and economics.
“People underestimate how important it is for an efficient self-propelled machine to have long-term productivity without too much variation, with a controlled environment. But if you control those things, you make the equipment much more comfortable. A fast race car is useless if you throw it in the middle of a rainforest. It requires smooth, smooth roads and power station infrastructure, let alone a trained driver before reaching 200 mph. “
Brain Memory Encourages AI Specialists in Neural Networks ‘Not to Forget’
At the bottom of the line, evolution has determined that the brain should not only retain memories as complete production objects, but indistinct representations (as aside, the brain works brightly – we have something like a few gigabytes of storage, but this has increased to ~ 2.5 petabytes due to cable ). Inspired by this high-level release, researchers created a brain-replication process for deep neural networks. DNNs tend to forget painful (that is the real name), or “completely and abruptly forget the information that was previously read when you read new information.”
“Abstract generative brain replay” has shown excellent efficiency: “Emerging playback not only prevents catastrophic forgetfulness and provides a new, more systematic way of learning the system, allowing the system to make learning adapted to another,” the researchers said. For example, “if our network with a productive replay starts by learning to distinguish cats from dogs, and then separates bears and foxes, it will also tell fox cats without training to do so. And especially, the more the system learns, the better it is.”
Why American Express Experts Technology That Makes Deep Videos Unseen
Are rival production networks (GAN) – a technology that has been in place for the past few years of bizarre psychedelic AI art and impersonation – is appropriate for the business environment? Outside of the entertainment industry, GAN-based software can help with financial fraud. American Express uses GAN models to create fake financial data (such as credit card transactions) to help train other algorithms to detect fraudulent activity.
Like GAN’s visible release over the past few years, the financial data generated is designed to look real, but often something is turned off. As Fortune puts it, “data with obvious errors, such as frequent purchases of toilet paper in New York City in one day, followed by the purchase of lawnmowers in Bakersfield, Calif., The next, will not work well.” Some businesses have used GANs to generate transaction data – notably Amazon, which has used the model to create e-commerce transaction data. According to researchers, this data could be used for “product recommendations, targeting deals, and impersonation of future events.” Although, unlike their visual counterparts, it is difficult to say whether the data for the work done is valid:
Artwork: The Nighthawks
IMARS Studio is a new VR / AR / MR art studio and a London production studio already working with artists such as Ellie Goulding and Rina Sawayama. More recently, the studio has helped to create a spectacular pastime of the 1942 Nighthawks painting, transforming art analysis into an immersive, researching experience. “In Masterpiece, the 3D representation of Hopper’s artwork was created as a carefully crafted 3D geometry with detailed layers of texting; a hand-crafted part, partially made of AI, that could resemble brush strokes and a beautiful Edward Hopper unique drawing style. 3D was introduced to the Unreal Engine and delivered in real-time based on the visual film camera’s location on the MARS stage. “
Facebook’s Project Aria Is The Way To Test Driving AR Mirrors For Real People Of The World This Year
Approximately 100 Facebook employees and contractors in Seattle and the Bay Area will inspect the actual Facebook glasses made for Project Aria. Project Aria itself is not a smart glass mirror but a sensor system for related devices (Facebook will take additional steps with Aria – releasing a number of simple glasses next year under the Ray-Ban brand). Those multiple sensors can fit into a VR headset for better location awareness. Facebook says the same members will be able to calculate “GPS location, take high-quality photos, and take multichannel audio and visual images.” The mirrors the testers will be using will capture video, audio, eye movement, and location data, and use the data to refine LiveMaps, a “3D map list for mirrors to navigate.” The glasses will eventually play with the AI assistant. But the big question right now is privacy, and Facebook is well aware of the blast feature from the real Google Glass.
CNET recently spoke to Facebook VP and VR’s Andrew Bosworth, who said inspectors have a responsibility to “ensure that [this device] is closed where it is not respected, in prayer rooms, in toilets, in public places I was expecting.” in addition, all facial and licensed data is obscured before anyone can see the details.
But Bosworth and his team have years of experience in resolving privacy issues – they don’t work overtime. Like Zuckerberg (who recently told The Verge that “AR will be more difficult [than VR]”), you see the glass industry maturing in a decade or more, not a year or two.
4IR How to Drive a New Energy Innovation Wave
Mineral oil is likely to last longer due to affordable energy and interest rates. With rising global growth, so does R&D. WEF guest posters Abdullah Al-Baiz, Chief Digital Transformation Officer for Aramco, says their Khurais facility is the most intelligent oil station in the world. With the use of 4IR technology such as IIoT, Al-Baiz claims that the Khurais site has reduced power consumption by 18%, reduced repair costs by 30%, and reduced test times by 40% (they also use VR for remote testing). Here’s how the center makes use of emerging technologies:
“The site integrates Big Data analytics, learning equipment, smart sensors, and the rest of the life prediction system. Industrial robotics and UAVs perform diagnostic functions, improve diagnostic skills and efficiency. And is the first oil field with Advanced Process Control (APC). Two patients have been obtained for intelligent production-level adjustments for a smart performance monitoring system that uses analytics to specify and increase gasoline boilers in boilers, contributing to fuel gas emissions and reducing CO2 emissions. and real-time warnings using 24/7 fiber-optic network sensing, which contributes to the improvement of safety and performance in the environment. “
The Crover robot swims in Grain Silos Environmental Monitoring.
The launch of the robots Crover recently launched their (American) robots of a ball-shaped suspension of TechCrunch Disrupt. The robot is programmed to stay inside the grain, which is then dropped off at the inside for analysis. Temperature, humidity, and other properties are measured and sent to the dashboard. Crover plans to sell the Hardware with Hardware as a subscription model for $ 4,000 per robot per year – a price Crover says is being waived to prevent grain losses, which could cost farmers $ 32k a year.
Growing Business: Dutch Dutch Improves ‘Life’ Box Made with Mushroom Mycelium
After months of development, researchers have created The Living Cocoon, a box containing mycelium “that reunites people with nature and enriches the soil, instead of polluting it.” Physical composting in traditional bins can take more than ten years, but Cocoon can complete this process in two or three years as it contributes to the composting process. The mycelium actually grows in the shape of a box and then dries out. When Coon is exposed to groundwater, the mycelium begins the process. The first 10 Cacoons are elderly, and two funeral homes are already offering the option.
3-D Metal Printing is in the Topic, but Who Uses It?
The 3D Unicorn Desktop Metal Printer goes public this year. To get a better idea of which companies find themselves compelling through this process, Forbes spoke with other Desktop Metal customers. One of these was the Koch company John Zink Hamworthy Combustion (JZHC), which began operating with additional production a decade ago, first by introducing a complex twelve-step process of producing tile into a two-step 3D work. Years later, JZHC bought the Desktop Metal system, initially using it for model design, then producing part market part purchases, and then on “holy grail of parts …. something that gives you more performance than anything you can do with traditional production.”
Jason Harjo, Manager of Mechanical & Electrical Design at JZHC, tells his engineers that now “try to go back when you were a student, think of all those crazy designs that everyone laughs at because they could not be done. Now we can do it, try to go back, and think that way.”
Huang’s Law Is More Moore’s New Law and Explains Why Nvidia Wants The Arm?
Christopher Mims at WSJ is calling for a successor to More Moore’s Law Huang after Nvidia’s CEO recently published an open letter to employees briefing them on the company’s plans to demand its acquisition (I strongly recommend Stratechery’s adoption in this book as further reading). “It explains how silicon chips empower artificial intelligence more than twice as much in two years. Although the increase may be due to the Hardware and software of robotic process automation, its consistent development makes it a provider of everything from private cars, trucks, and ships to faces. Voice and object recognition on our devices, “writes Mims.
However, the exact speed is difficult to maintain because even defining “performance” is a challenge – “a combination of Google, Baidu, Harvard, Stanford, and every other major technology company is working together to improve and accurately measure.”
Health Science through Robotic Process Automation
Biologists Make Growing Modification of Coronavirus Offering As Vaccine
Synthetic biology startup Codagenix is looking for pathologist Albert Sabin, famous for 50 years for his polio vaccine: which gives people a reduced viral load to help his body with the necessary antibodies, T cells, and other specialized defenses. They have developed a weak version of SARS-CoV-2, which will be used in the form of a drop in the nose for future human safety tests in November. The current vaccine for COVID-19 exposes the patient to one part of the virus, while the reduced version will expose them to the full virus. Researchers at Codagenix behind weight loss techniques are aptly calling it “death by a thousand cuts,” or, officially, the engineering of a reduced virus.
“Bacteria, which hijack cells to replicate their protein, alter the taste of the same codons chosen by human cells. Coleman says the company has developed a genetically engineered 240-type coronavirus that gives you some of the worst codons ever. A genetically engineered virus is the same on the outside but has “visible brakes” on the inside, creating less rapid replication. “
You’ve heard of Computer-Aided Design. What About Computer-Aided Biology?
Today, “chip design is more detailed than a U.S. road map. It can all be automated.” That is a long way from the pen and paper scheme in the early days of the semiconductor sector. What if we could use the design of similar software in synthetic biology? Instead of a computer-assisted system (CAD), we will have computer-assisted biology (CAB).
As the declining prices of technology and open-source software have pushed the Digital Age, the way researchers do biology has changed with the cheap sequence and open-source science. And as a computer industry in recent decades, move-in biology is looking at big data and algorithms that can deal with life’s difficulties. Indeed for Synthace manager Tim Fell, “automating biology and silicon chip production are the same at the highest levels.”
“The cornerstone of Synthace’s engineering endeavors is Antha, a cloud-based software platform to automate and improve the efficiency, efficiency, and scalability of biological processes by connecting all laboratory platforms. Unlike many other platforms that make biology digital, which is a vital part of the separation, it ensures the essential flow of new workflows. “