CTE Learning
MARCH 18, 2024
Our Artificial Intelligence and Mobile Robotics course teaches a new level of understanding of systems, coding, biology, and behavior to middle school and high school students interested in learning the soft skills and hard skills that will be in demand for decades to come.
STEM Sport
MAY 9, 2024
She is known for her impactful contributions in both chemistry and biology, where much of her career has been focused on cell surface sugars that are key to human health and disease. Bertozzi is a chemist who was the recipient of the 2022 Nobel Prize in Chemistry, commonly known as the Nobel Laureate.
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Futurum
FEBRUARY 2, 2023
Ben and Julia found that COASST participants improve their identification accuracy over time – a result of repeated and consistent identification practice and engagement with COASST staff who train and provide opportunities to learn. It also has a page specifically on marine ecology.
Stephen Wolfram
MARCH 15, 2023
But it also highlights how significant our specifics—our particular history, biology, etc.—are. And in biology it shows up as some structure (ribosome, cell, wing, etc.) This broad equivalence is important in being able to make very general scientific statements (like the existence of computational irreducibility).
Futurum
DECEMBER 6, 2022
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. . •
Stephen Wolfram
FEBRUARY 14, 2023
And in fact the big breakthrough in “deep learning” that occurred around 2011 was associated with the discovery that in some sense it can be easier to do (at least approximate) minimization when there are lots of weights involved than when there are fairly few. The key is the notion of attractors.
Stephen Wolfram
MAY 13, 2022
What about systems that adapt or learn? But that email was right before I discovered yet more kinds of computational systems to explore, and before I’d understood applications to biology, and physics, and mathematics, and so on. But what could be figured out like this? What about systems based on constraints?
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