Welcome to the 5G Radioactive Network Have You Had Your Daily Dose of Radiation Today?

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This 2019 Radiation activist are warning that the New 5G networks are a'massive health experiment' and a'Global catastrophe' waiting to happen. The New 5G Network in the foreground of controversy, promises lightning-fast speeds and the ability to power new technologies like self-driving cars and advanced augmented and virtual reality experiences. But an undercurrent to all of the things we can do with 5G is concern about what 5G can do to us. There are concerns that the very high-frequency spectrum known as millimeter wavelengths used in early deployments to make 5G a reality could pose adverse health effects for the public. A leading activist on the issue of electromagnetic radiation and its negative impacts on public health has described the rollout of 5G as a "massive health experiment" which could "become a global catastrophe."


Putting Containers to the Test in a Deep Learning Solution – IAM Network

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Tests conducted in the Dell EMC HPC and AI Innovation Lab show that software can be virtualized in a containerized environment with no significant performance penalties.


DeepMind AI Beats Humans At Deciphering Damaged Ancient Greek Tablets - Slashdot

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An anonymous reader quotes a report from New Scientist: Yannis Assael at DeepMind and his colleagues trained a neural network, a type of AI algorithm, to guess missing words or characters from Greek inscriptions, on surfaces including stone, ceramic and metal, that were between 1500 and 2600 years old. The AI, called Pythia, learned to recognize patterns in 35,000 relics, containing more than 3 million words. The patterns it picks up on include the context in which different words appear, the grammar, and also the shape and layout of the inscriptions. Given an inscription with missing information, Pythia provides 20 different suggestions that could plug the gap, with the idea that someone could then select the best one using their own judgement and subject knowledge. "It's all about how we can help the experts," says Assael.


New TDWI Research Report Explores How Organizations are Using AI and Machine Learning

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Report explores how organizations using AI are making it work, what technologies they're using, and what best practices can maximize an organization's success with AI and machine learning Seattle, WA, Oct. 18, 2019 (GLOBE NEWSWIRE) -- TDWI Research has released its newest Best Practices Report, Driving Digital Transformation using AI and Machine Learning. This original, survey-based report looks at the many dimensions of artificial intelligence (AI) and machine learning (ML) so data professionals and their business counterparts can understand the benefits of the technology, how it's used (and by whom), and how enterprises are achieving success with it. The author of the report, Fern Halper, is vice president and senior director of TDWI Research for advanced analytics. She explains that organizations are embracing AI and ML to gain better insights, make better decisions, and improve competitive advantage. "In fact," she writes, "AI is at the heart of the digital revolution around analytics occurring today. AI promises to help organizations improve their operations and processes and to drive new revenue opportunities."


Three Ways to Jump-Start Your Customer Experience with AI

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Customer experience has become a boardroom conversation as every interaction with a brand impacts how a customer thinks about the company, its products, and services. Successful businesses understand that providing an exceptional customer experience is a crucial competitive differentiator. Nowadays, great customer service isn't only about quickly fixing issues when they arise, but about putting the customer first and supporting them at every point in their journey. Modern technologies, including AI-powered software, provide companies with the tools to elevate the experience they provide by moving beyond one-and-done interactions and creating continuous, personalized engagements with clients – from sales to service, to post-sale support. While creating an AI strategy for customer experience may seem like a daunting task – what use cases should be addressed, what KPIs should be targeted, how will it impact workflows, etc. – businesses can make the lift a little easier by narrowing their focusing on a few key areas and then identifying where an AI solution can help extract the most value.


How AI fleet Management Will Shape the Future of Transportation -- ThatTech Guru

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There are many opinions about how Artificial Intelligence (AI) is going to change the world with expectations about its capabilities for now and in the future. AI simply refers to intelligence displayed by machines in contrast to that displayed by humans. Although humans are intelligent, they cannot be programmed to exceed their current capabilities in the same way a machine can. This has led to the creation of smart machines that handle tasks otherwise difficult for humans to handle efficiently. Artificial intelligence is gradually becoming a constant presence in many technological applications.


More compute is not the solution for AGI

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There are different bets on how to achieve AGI (Artificial General Intelligence). It's nearly impossible to predict which path has the best probability of succeeding. The current most popular approach is to throw more {C G T}PUs at problems of intelligence. But let's look at this problem from a different angle: how evolution solves the problem of developing more sophisticated intelligent systems considering the limitations of the environment. Energy efficiency ratio -- how much energy an organism spends to gain energy versus how much energy it actually uses -- is an important factor in evolution.


How does society create an ethics guide for AI?

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Coined the fourth industrial revolution, the advancement of artificial intelligence and machine learning brings interesting discussion to the table. Because AI is so comprehensive and covers several industries, we find ourselves asking obscure questions such as "Do we need to legalize predictive AI policing?" With these questions arising, the key one that remains unanswered surrounds ethics. How do we ensure that AI technologies are ethically designed? To answer this question, there are essentially four aspects that dictate the result: the dilemma, the impact, adoption, and institutionalization.