Breakthrough in math & AI! Researchers at Technion harness distributed computing & AI algorithms to explore deep number theory, generating new formulas and accelerating math discoveries with their Ramanujan Machine project. Computational tools meet human creativity. https://phys.org/news/2024-06-merging-ai-human-efforts-tackle.html #AIMath
Merging AI and human efforts to tackle complex mathematical problems

By rapidly analyzing large amounts of data and making accurate predictions, artificial intelligence (AI) tools could help to answer many long-standing research questions. For instance, they could help to identify new materials to fabricate electronics or the patterns in brain activity associated with specific human behaviors.

Phys.org
Science news this week: Japan laser weapon trial, comet 3I/ATLAS bids farewell, and AI solves 'impossible' math problems
https://atlas.whatip.xyz/post.php?slug=science-news-this-week-japan-laser-weapon-trial-comet-3iatlas-bids-farewell-and-ai-solves-impossible-math-problems
"Unveiling the Cosmos: Laser Weapon Trials, Comet Farewells, and AI Triumphs!"
#space #astronomy #science #laserweapon #aimath
The 7 Statistical Concepts You Need to Succeed as a Machine Learning Engineer - MachineLearningMastery.com

The seven core statistical pillars every machine learning engineer should master to build reliable intelligent systems.

MachineLearningMastery.com

... WHAT is your ish. Not you, babyboy. I'm his Perfect Type, ya. I'm nice.. and I'm Perfect combination of #Aimath (Emma Watson × IU)

MATH1️⃣
●. Emma Watson
I'm smart and Sophisticated in 3D, even online I am.. it's only THEORY. I look the most like Emma Watson of anyone on Earth, next to her

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The Two Faces of Forecasting

Why Amazon’s $469B Supply Chain Split the Problem in Half (And Why Your Company Should Too)

Medium

#AIEngineering #dl #aimath

The need for background in applied mathematics for AI engineering.

Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity

https://machinelearning.apple.com/research/barriers-for-learning

Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity

Deep learning models excel in stationary data but struggle in non-stationary environments due to a phenomenon known as loss of plasticity…

Apple Machine Learning Research
LLMs are rapidly tackling high-level math and beyond. Is AI closing in on human mathematicians? DARPA's new expMath initiative aims to modernize this crucial field, often traditional, to speed up vital breakthroughs.
#AIMath #TechFuture #DARPA