**[Introduction to New Wisdom]**Basic mathematics has been elevated to the point where it is the only way to study AI! UC Berkeley professor launched the latest initiative, 31 AI tycoons signed a joint letter, and Musk and Altman actually reached an agreement**.**

Just now, UC Berkeley EECS professor Jelani Nelson co-launched an initiative emphasizing that “a solid mathematical foundation is crucial for artificial intelligence.”

address:https://www.mathmatters.ai/

“Although Elon Musk and Sam Altman have disagreed on many issues recently, they both agree that the construction of AI is supported by solid mathematical foundations such as algebra and calculus.”

Currently, 31 industry leaders have signed their names on it.

## If you want to do well in AI, you must let your children learn mathematics well.

Artificial intelligence is about to profoundly change the face of society as we know it. To prepare for this future, it is important to equip the future workforce with the knowledge to build and deploy AI technologies.

The core of modern artificial intelligence innovation is closely related to core mathematical concepts such as algebra, calculus and probability theory. Therefore, to get involved in the development of these technologies, students must develop a solid foundation in mathematics.

We particularly applaud the University of California for recently clarifying its mathematics admissions requirements, ensuring that they must meet the state's standard definition of college readiness.

Although current advances may seem like traditional math topics like calculus or algebra are outdated, the opposite is actually true.

In fact, modern artificial intelligence systems are deeply rooted in mathematics, and a deep understanding of mathematics is essential for those working in this field.

The algorithmic core of deep learning – gradient descent – is an example of combining calculus and linear algebra.

Vectors and matrices form the basis of neural networks, and growth models on a logarithmic scale are crucial to the science of neural network training.

Far from being “obsolete,” trigonometry and the Pythagorean theorem are the basis for key tools in data science such as Fourier transforms and the least squares method.

Learning these core topics in high school is the best way to prepare for further study in machine learning, data science, or any STEM field. We prefer students who have mastered the basics rather than those who are only interested in the latest tools. Or students who know a little bit about software.

If public education math curriculum standards are not maintained, it will widen the gap between public and private schools—especially public schools in under-resourced areas—which will hinder efforts to diversify STEM fields.

All California children—not just those in private education—should have access to a top-notch math education that provides a strong foundation for our future.

We urge California policymakers to do their best to ensure that all children have access to such educational opportunities.

## UC Berkeley clarifies math admission requirements

A document published by UC Berkeley clearly states the requirements for applicants to study mathematics courses.

address:Click here to go

The working group focused on standards that would replace the Algebra II/Mathematics III requirement for admission to the University of California, as well as recommended course levels that applicants should take in their fourth year of mathematics.

The report makes two main recommendations.

First of all, if you want to replace the Algebra II/Mathematics III course, it must be a “course that requires advanced algebraic knowledge.”

Therefore, a statistics course is not a substitute for a foundational course in advanced algebra.

The task force made this recommendation because a deep understanding of algebra is the foundation for a variety of quantitative methods and requiring an upper-level algebra course will best prepare students for admission to college in the broadest range of majors.

In the second suggestion, applicants are required to take a fourth-year mathematics course in addition to completing three basic courses (Algebra I-Geometry-Algebra II or Mathematics I-II-III).

This fourth-year course is designed to expand mathematical knowledge beyond the basic course content.

Therefore, for certain categories within Area C, the working group recommends a distinction between advanced mathematics courses and foundation or mathematics elective courses.

By encouraging applicants to take the most rigorous high school mathematics courses, BOARS believes they will be better prepared for college-level quantitative courses.

References

https://www.mathmatters.ai/

https://twitter.com/boazbaraktcs/status/1765463816585019903