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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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This Is Your Brain on Math: The Science Behind Culturally Responsive Instruction

ED Surge

Though some argue that mathematics is culturally independent, I can say from experience that it is anything but. Culture embodies our deepest collective social norms and beliefs, and provides the reference points for future learning. The brain makes sense of the world, and mathematics, through culture.

Math 284
educators

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2024 Spotlight: Women Leading the Way in STEM

STEM Sport

There is a constant, necessary push to ensure the STEM (science, technology, engineering, and mathematics) workforce has diverse representation across gender, socioeconomic status, and race. This diversity in the workforce is what allows this workforce to continue thinking innovatively and in the best interest of the public as a whole.

STEM 40
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Prioritizing participation

Robert Talbert, Ph.D.

For example, in my discrete structures course one of the major topics -- and by far one of the hardest concepts -- is proofs that use mathematical induction. We hope to create an environment where active learning takes root organically. Bonus thoughts I'm still curious about two-stage exams.

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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.

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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. PATHWAY FROM SCHOOL TO ELECTRICAL AND COMPUTER ENGINEERING. •

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Plugging in: directly linking the brain to a computer

Futurum

The accuracy of machine learning provides another limitation, though this is a rapidly advancing field. Recent progress in deep learning provides substantial potential benefits for neural networks, computer vision and BCI techniques,” says CT. Download the article. Reference [link]. Link to the activity sheet.