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Stock Forecast Based On a Predictive Algorithm

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This stock market forecast is part of the World Indices Package, as one of I Know First's quantitative investment solutions. We determine our world indices forecast by screening our database daily using our advanced algorithm. Package Name: Indices Forecast Recommended Positions: Long Forecast Length: 7 Days (9/14/22 – 9/21/22) I Know First Average: 2.13% For this 7 Days forecast the algorithm has successfully predicted the changes in 7 out of 10 indices. The highest trade return came from VXAPL, at 8.99%. MERV and FVX also performed well for this time horizon with returns of 3.49% and 3.45%, respectively.


Stock Forecast Based On a Predictive Algorithm

#artificialintelligence

This Stock Ideas forecast is designed for investors and analysts who need predictions of the best utilities stocks to buy for the whole Industry. Package Name: Utilities Stocks Recommended Positions: Long Forecast Length: 3 Months (6/20/22 – 9/20/22) I Know First Average: 17.86% Several predictions in this 3 Months forecast saw significant returns. The algorithm has correctly predicted 9 out of 10 stock movements. The prediction with the highest return was CDZI, at 43.75%. Further notable returns came from AES and NEE at 34.49% and 21.01%, respectively.


Who is responsible when AI is irresponsible?

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It's critically important to understand that analytics, machine learning and AI study the past to make decisions for the future. However, if data from the past is biased or underrepresented, then analytics could perpetuate future decisions that are also biased and have unintended consequences. Analytics does not understand our goals in society. When we strive to improve health care, criminal justice, economic growth and the environment, we must inform analytics with our objectives to ensure we achieve goals fairly and equitably. Furthermore, as analytics, machine learning and AI become pervasive in society, automated decisions are being made on behalf of large populations.


Top Trends in Artificial Intelligence (AI) Jobs - Institute for Career Studies

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Artificial intelligence (AI) is a wide-ranging branch of computer science in which smart machines are built to perform tasks that typically require human intelligence. In simpler terms, it is making computers think like humans. The term is most frequently used to describe machines that mimic cognitive functions such as learning, communication, and problem-solving. Artificial intelligence (AI) is impacting jobs across all strata of business and IT. AI is being incorporated into customer relationship management (CRM), enterprise resource planning (ERP), business intelligence (BI), analytics, cybersecurity, marketing, sales, management, and more.


Natural Language Processing

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Computers, as intelligent beings, need to be acquainted with human communications. These communications happen to be by a complex network of lingual channels. Most, if not all, of these…


A Wheel Made of 'Odd Matter' Spontaneously Rolls Uphill

WIRED

In a physics lab in Amsterdam, there's a wheel that can spontaneously roll uphill by wiggling. This "odd wheel" looks simple: just six small motors linked together by plastic arms and rubber bands to form a ring about 6 inches in diameter. When the motors are powered on, it starts writhing, executing complicated squashing and stretching motions and occasionally flinging itself into the air, all the while slowly making its way up a bumpy foam ramp. Original story reprinted with permission from Quanta Magazine, an editorially independent publication of the Simons Foundation whose mission is to enhance public understanding of science by covering research developments and trends in mathematics and the physical and life sciences. "I find it very playful," said Ricard Alert, a biophysicist at the Max Planck Institute for the Physics of Complex Systems in Dresden, Germany, who was not involved in making the wheel.


Tech disruption - Raconteur

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How artificial intelligence, automation, and greater data insights might impact the insurance sector in the not-too-distant future Topic...


How digital processes are now starting to re-shape air cargo

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INCREMENTAL forward steps towards digitalisation made by the air cargo industry are starting to pay off, observes Thelma Etim. There is no doubt that, in many areas of its business, the airfreight industry is still grappling with the burden of paper airwaybills (AWBs), the accompanying pouch and old-generation ground handling operations, such as airside ramp transport and road feeder services, as well as so many other politically complex matters such as analogue Customs agencies. It is not surprising that any digital changes embraced by carriers and others are already showing benefits. "The development and implementation of next-generation technologies, rapid advances in consumer technology, increasing the shift to cloud computing, the utilisation of internet of things (IoT), big data and machine learning (ML) to collect and analyse large amounts of data – are all currently transforming processes in the [airline] industry," an expansive report by consultancy Frost and Sullivan observes. It predicts the airline digitalisation market will earn more than US$35.42billion


How will conversational AI influence the metaverse?

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The metaverses of the coming century are powered by voice assistant artificial intelligence (AI), which powers use cases including personalised suggestions and lifestyle help, as reported by Cointelegraph. For instance, users can access the metaverse and utilise an AI-powered bot to guide them on a tour of several breathtaking locales rather than going to a travel agency's office or speaking to their overworked customer care. In a metaverse, an AI concierge is a personified machine that makes personalised recommendations depending on the preferences of the avatar. The potential of this use case is clear when you consider the volume of data that is now available on each individual. The metaverse uses natural language processing to make it more intimate than the real world.


Basics of Deep Learning 1/

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The basic unit of a Neural network is a perceptron, which accepts input from user or from other perceptrons, apply a defined function, and returns an output. The most basic network is Sequential Neural Network. It is a plain stack of layers where each layer has exactly one input tensor and one output tensor. Figure 1 shows a sequential network where there is one input layer and 1 output. Since every neuron is a layer is connected to every neuron in adjacent layer, this is also a dense neural network.