AI systems now prove research-level mathematical theorems, but access divides along commercial lines. Stanford's Ravi Vakil used private DeepMind tools for proofs he's unsure he could have developed alone, while public AI floods journals with low-quality submissions. Harmonic's $1.45B valuation prices formal verification as the new moat. Academic mathematicians migrate to private labs as the capability gap widens.

#AIMath #FormalVerification #AcademicResearch

https://www.implicator.ai/ai-cracked-research-math-harmonic-just-priced-the-consequence-at-1-45-billion/

AI Cracked Research Math. Harmonic Priced It at $1.45B

Mathematicians spent a year watching AI move from IMO puzzles to genuine research proofs. Then Harmonic raised $120 million at a $1.45 billion valuation on the premise that formal verification is the moat. The useful tools went private. The academy got the slop.

Implicator.ai
The Math That the Agi Industry Has Never Publicly Confronted — And What It Actually Means for the…

Every AI Company Is Making the Same Trillion-Dollar Bet. A 1997 Theorem Proves Nobody Can Know If They’re Right.

Medium
Hallucination is not a Bug. It is a Theorem. Here is the 5th-Grade Math That Proves It.

I will show you — with actual numbers, actual matrices, computed by hand — why every AI must hallucinate. Not sometimes. Always. The proof…

Medium
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