Artificial Intelligence and Architecture

Role of Artificial intelligence in Architecture. Artificial Intelligence and architecture will come together to solve challenges with housing, the way we live, and cites. About 55% of the world’s population is living in urban areas or cities. By 2050, that figure is estimated to rise to 68%. Experts are expecting a dramatic upswing towards cities, which will cause countless megacities to form around the globe.

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Artificial intelligence in Journalism

AI Journalism

Artificial intelligence in journalism is now a reality. Artificial intelligence has entered almost all aspects of our lives, including journalism. Due to the advent of digital media, we unknowingly consume content based on artificial intelligence everywhere. Whether it’s YouTube’s recommended videos, your Facebook feed, or the kinds of advertisements you see on regular websites, they are all specially catered to you with the use of AI.

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The ways in which AI has changed the way we move, work, search and buy

Woman on the phone

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions- Investopedia. Below is a list of 5 examples of artificial intelligence that you’re likely to have come across daily that you are possibly not aware of.

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Machines misbehaving: 62 scientific studies showing how Big Tech’s Algorithms can harm the public

Might it be time to create an “FDA for algorithms? In the United States, there is currently no federal institution that protects the public from harmful algorithms. We can buy eggs, get a vaccine, and drive on highways knowing there are systems in place to protect our safety: the USDA checks our eggs for salmonella, the FDA checks vaccines for safety and effectiveness, the NHTSA makes sure highway turns are smooth and gentle for high speeds. But what about when we run a Google search or look up a product on Amazon?

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“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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