Polynomial.Ai

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We are at the forefront of AI-First application development, specializing in leveraging the transformative power of Large Language Models (LLMs) and cutting-edge Agentic AI to build intelligent solutions for both startups and established enterprises. We help you reimagine your business processes and unlock new levels of efficiency, innovation, and growth by architecting applications where AI is not an add-on, but the core foundation.

Company Details

Employees
24
Founded
-
Address
Bannerghatta Main Road, Bengaluru South,karnataka,india
Email
pr****@****mial.ai
Industry
It Services And It Consulting
NAICS
Computer Systems Design and Related Services
Other Computer Related Services
HQ
Bengaluru South, Karnataka
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Terence Tao’s Breakthrough Extends Green-Tao Theorem to Polynomials - WebProNews

Terence Tao’s Breakthrough Extends Green-Tao Theorem to Polynomials WebProNews

FrontierMath Benchmark Exposes AI Struggles in Advanced Math - eWeek

FrontierMath Benchmark Exposes AI Struggles in Advanced Math eWeek

AI-driven generalized polynomial transformation models for unsupervised fundus image registration - Frontiers

AI-driven generalized polynomial transformation models for unsupervised fundus image registration Frontiers

Evolving scientific discovery by unifying data and background knowledge with AI Hilbert - Nature

Evolving scientific discovery by unifying data and background knowledge with AI Hilbert Nature

LayerNAS: Neural architecture search in polynomial complexity - Google Research

LayerNAS: Neural architecture search in polynomial complexity Google Research

AI-Hilbert is a new way to transform scientific discovery - IBM Research

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Alternative assessment of machine learning to polynomial regression in response surface methodology for predicting decolorization efficiency in textile wastewater treatment - ScienceDirect.com

Alternative assessment of machine learning to polynomial regression in response surface methodology for predicting decolorization efficiency in textile wastewater treatment ScienceDirect.com

Meta AI tackles maths problems that stumped humans for over a century - New Scientist

Meta AI tackles maths problems that stumped humans for over a century New Scientist

Behind the Curtain — Coming soon: Ph.D.-level super-agents - Axios

Behind the Curtain — Coming soon: Ph.D.-level super-agents Axios

More than 10 Times Faster AI Inference for RX and RA Families Released e-AI Translator v2.2.0 for Arm CMSIS Library - Renesas Electronics

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Introducing OpenAI o3 and o4-mini OpenAI

Algorithm-assisted discovery of an intrinsic order among mathematical constants - PNAS

Algorithm-assisted discovery of an intrinsic order among mathematical constants PNAS

From Tokens to Theorems: Building a Neuro-Symbolic AI Mathematician - Towards Data Science

From Tokens to Theorems: Building a Neuro-Symbolic AI Mathematician Towards Data Science

Researchers Solve “Impossible” Math Problem After 200 Years - SciTechDaily

Researchers Solve “Impossible” Math Problem After 200 Years SciTechDaily

Advancing mathematics by guiding human intuition with AI - Nature

Advancing mathematics by guiding human intuition with AI Nature

NN-Poly: Approximating common neural networks with Taylor polynomials to imbue dynamical system constraints - Frontiers

NN-Poly: Approximating common neural networks with Taylor polynomials to imbue dynamical system constraints Frontiers

OpenAI's new o3 model freaks out computer science majors - Axios

OpenAI's new o3 model freaks out computer science majors Axios

Rotor angle stability of a microgrid generator through polynomial approximation based on RFID data collection and deep learning | Scientific Reports - Nature

Rotor angle stability of a microgrid generator through polynomial approximation based on RFID data collection and deep learning | Scientific Reports Nature

Comparison of Biological Age Prediction Models Using Clinical Biomarkers Commonly Measured in Clinical Practice Settings: AI Techniques Vs. Traditional Statistical Methods - Frontiers

Comparison of Biological Age Prediction Models Using Clinical Biomarkers Commonly Measured in Clinical Practice Settings: AI Techniques Vs. Traditional Statistical Methods Frontiers

A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction - Nature

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Beyond automatic differentiation - Google Research

Beyond automatic differentiation Google Research

I-BERT: BERT That Can Be Reasoned With Integer Types Only - ai-scholar.tech

I-BERT: BERT That Can Be Reasoned With Integer Types Only ai-scholar.tech

Comprehensive assessment, review, and comparison of AI models for solar irradiance prediction based on different time/estimation intervals - Nature

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Mathematicians at Sydney and Oxford use DeepMind AI to develop new methods in problem-solving - The University of Sydney

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(PDF) AI and P Versus NP problem a new method based on artificial intelligence brings us closer to the solution of most important open problem in the theoretical computer science - researchgate.net

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DeepMind Machine Learning Becomes a Mathematical Collaborator - Quanta Magazine

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Machine Learning with C++ – Polynomial regression with Eigen - Data Science Central

Machine Learning with C++ – Polynomial regression with Eigen Data Science Central

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Opinion: OpenAI o3 puts humans on notice with its intelligence - India Today

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Understanding Polynomial Trends: Curved Data Patterns Explained - Investopedia

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Oman Vision 2040: Quantum AI leads the future - Oman Observer

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Polynomial Trade Sets Record $250M 24h Volume, New All-Time High - Blockchain News

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“These Geniuses Solved the Impossible!”: Revolutionary Breakthrough in Algebra Stuns Mathematicians Worldwide, Defying Decades of Established Beliefs - visegradpost.com

“These Geniuses Solved the Impossible!”: Revolutionary Breakthrough in Algebra Stuns Mathematicians Worldwide, Defying Decades of Established Beliefs visegradpost.com

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