“Don’t just beat the market – crush it”

When I was reviewing our new flagship SaaS TradersAlmanac.ai, I thought that the charts could use a little extra ‘oomph’ to make them do their conversion magic more powerfully. Indeed, in versions gone by of charts like these for other projects, Coindex CEO Ryan had asked for the very same thing: comparisons against S&P, NASDAQ and DJIA.

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Artificial Intelligence: The 12 best ways to create superior solutions

Autonomous intelligence is going to harm us all if we cannot manage it properly. The stakes are high for businesses, as they plan for the future and invest in the latest technology. Artificial Intelligence has become a key component of strategic planning and 5 years roadmaps: 84% of business leaders are convinced that leveraging AI is necessary to reach their revenue growth targets, according to the latest Accenture research.

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Accelerating Innovation: How Covid has prompted technological evolution within Healthcare

Every industry across the world is feeling the impact of the demands posed by Covid. While healthcare is undoubtedly the heaviest impacted sector, the rapid evolution of e-health throughout 2020 promises to carry a lasting beneficial impact on the industry. Significantly, innovations are occurring at break-neck speeds and all are being rolled out as a means of protecting from the dangers of the pandemic. 

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When AI gets it wrong

This is a recent example of the risk associated with the increasing capabilities and scalability of artificial intelligence models. Without careful thought, they can easily endanger our society in many ways. In order for these new products to gain the trust and recognition of the users of the system, a clear ethical framework will have to be defined and, as showed above, internal ethical control is probably not the solution.

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The future of Machine Studying and Artificial Intelligence

With soaring demand, universities and large-name corporations are eager to offer academic content that can help increase the provision of AI engineers. There isn’t any commonplace artificial intelligence degree or curriculum. Some universities could not supply a prescribed set of programs for a major or specialization in AI, whereas these with devoted AI programs could have unique approaches to self-discipline.

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What is Artificial Neural Network and how is it useful ?

An artificial neural network (ANN) is the piece of a computing system designed to simulate the way the human brain analyzes and processes information. It is the foundation of Artificial Intelligence (AI) and solves problems that would prove impossible or difficult by human or statistical standards. ANNs have self-learning capabilities that enable them to produce better results as more data becomes available.

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The inevitable symbiosis of Cybersecurity and AI

While improvements in AI and Deep Learning move forward at an ever increasingly rapid rate, people have started to ask questions. Questions about jobs being made obsolete, questions about the inherent biases programmed into the neural networks, questions about whether or not AI will eventually consider humans as dead-weight and unnecessary to achieve the goals they’ve been tasked programmed with.

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State of European Tech: Investment in ‘deep tech’ like AI drops 13%

The latest State of European Tech report highlights that investment in “deep tech” like AI has dropped 13 percent this year. Data from Dealroom was used for the State of European Tech report. Dealroom defines deep tech as 16 fields: Artificial Intelligence, Machine Learning, Big Data, Augmented Reality, Virtual Reality, Drones, Autonomous Driving, Blockchain, Nanotech…

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ENvizion is a “Waze for feeding tubes,” and here’s why that’s important in a post-COVID world

The COVID-19 pandemic continues to rage on, but quite often, we don’t think of the consequences for those people that contract it. Intending to change this situation forever, ENvizion has created what can be described, since the company was founded in Israel, as the “Waze of feeding tubes.”

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A top Deep Learning trick that’ll Improve performance for Data Scientists

As a mathematical method, multi-layered neural networks are quite big and have a lot of parameters. Like seriously, compared to other machine learning models, neural networks have more parameters than you’d like. Practitioners prefer simpler models and bar use cases in places like Google AI, Neural networks have still found it incredibly hard to translate to many other industries. Keeping it simple is always better.

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The future of Machine Learning is here

Gaussian Processes have been around for a while but it’s only really in the past 5–10 years that there’s been a big resurgence in its interest. Partially this is due to the computational complexity of solving for them: as their models require a matrix inversion, the complexity is O(n³) and it’s tough to get it quicker.

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AI isn’t the first Technological Revolution: Let’s get it right this time

echnological revolutions have been made a mess of in the past. The coming one, however, might be too big, too momentous, and too fantastical to be reckless with. This issue first pushed front and center six years ago, when Nick Bostrom predicted the dangers the world is facing with the upcoming AI revolution in his book “Superintelligence: Paths, Dangers, Strategies.” Scientists, AI experts, robot engineers, ethicists, and other members of the intelligentsia have signed off on the benefits of AI, but also on the correspondingly large dangers.

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Construction Robotics is increasing safety and productivity on Job Sites

Construction Robotics is changing the way construction is done. It has always been inevitable that robotics technology would enter into dangerous industries to increase safety and productivity, but many people still view it as a futuristic phenomenon.

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AI and the future of Medical Diagnostics

So much is in silos across diagnostic laboratories: data, analyzers, devices, even people — divided by walls, by processes, by distance or simply by force of habit. The result can be partial visibility, limited insight and duplication of effort. Artificial intelligence (AI) and digitalization are proving to be the tools to help transcend these barriers.

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