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How can intelligent systems revolutionise healthcare?

Futurum

To tackle these challenges, deep-learning methods are being developed which can automatically learn and identify patterns from vast amounts of data.” These deep-learning algorithms aim to improve the accuracy, efficiency and personalisation of healthcare based on smart home sensor data. “As

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

Stephen Wolfram

Given a defined “goal”, an AI can automatically work towards achieving it. Most of our existing intuition about “machinery” and “automation” comes from a kind of “clockwork” view of engineering—in which we specifically build systems component by component to achieve objectives we want. And that’s where we humans come in.

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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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Morph with the wind: shape-changing buildings

Futurum

– Different engineering degrees have different requirements, but a strong background in mathematics is almost always beneficial, followed by physics, chemistry and computer science. Read up on different engineering disciplines, what they entail, and what they can achieve. WHAT HELPED YOU TO ACHIEVE THIS RECOGNITION?

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The Making of A New Kind of Science

Stephen Wolfram

At the time, there was some fiddliness to these functions, and to making their output look good—though in later years what we learned from this was used to tune up the general look of built-in graphics in the Wolfram Language. But there’s a standard way to achieve the appearance of gray, by changing the local density of black and white.

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Understanding, detecting and combatting deepfakes in the real world

Futurum

Yu suggests that students wishing to pursue a career in the field should focus on taking mathematics, physics and programming – if your school offers it. • I had also developed an interest in modern computer vision applications using Deep Learning. WHAT ARE YOUR PROUDEST CAREER ACHIEVEMENTS SO FAR? YU’S TOP TIPS.