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A quick guide to deep learning - what is it and how can it be useful?

Robot Lab

Deep learning is a subset of machine learning that uses algorithms built on neural networks modeled after the human brain. With multiple layers working together inside the computer, artificial neurons or ‘nodes’ use mathematical calculations to process data to solve complex problems, much like how our own brains do.

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How can intelligent systems revolutionise healthcare?

Futurum

Dr Narges Armanfard from McGill University and Mila Quebec AI Institute in Montreal, Canada, has set up iSMART Lab to develop intelligent computer systems that can support medical professionals. To tackle these challenges, deep-learning methods are being developed which can automatically learn and identify patterns from vast amounts of data.”

educators

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Plugging in: directly linking the brain to a computer

Futurum

Artificial intelligence (AI) — computer systems able to perform tasks normally requiring human intelligence. The accuracy of machine learning provides another limitation, though this is a rapidly advancing field. Fields of research: Computer Science, Artificial Intelligence (AI), Brain Computer Interfaces (BCIs).

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Online battles: combatting false information and reducing online risks

Futurum

Artificial intelligence (AI) — computer algorithms and systems able to perform tasks that would typically require human intelligence. Deep learning — technology able to automatically learn from a large set of digital media and apply what has been learnt to manipulate or create sophisticated media.

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Morph with the wind: shape-changing buildings

Futurum

The cyber-physical system we are developing uses a combination of wind sensors, optimisation algorithms and artificial intelligence to search for combinations of façade positions and wind flow conditions that limit building vibration,” says Jared. How ‘cool’ is that?! PURSUING A CAREER IN ENGINEERING.

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What Is ChatGPT Doing … and Why Does It Work?

Stephen Wolfram

Then we might make a mathematical guess, like that perhaps we should use a straight line as a model: We could pick different straight lines. It’s just something that’s mathematically simple, and we’re used to the fact that lots of data we measure turns out to be well fit by mathematically simple things.

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Will AIs Take All Our Jobs and End Human History—or Not? Well, It’s Complicated…

Stephen Wolfram

For about three centuries it seemed as if mathematical equations were the ultimate way to describe the natural world—but in the past few decades , and particularly poignantly with our recent Physics Project , it’s become clear that simple programs are in general a more powerful approach.)

Computer 105