Mathematics
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Top Mathematics Courses for Data Science/ AI
Mathematics is crucial in data science as it underpins algorithms and models used for data analysis and prediction. It helps understand data patterns, optimize...
This Paper Unravels the Mysteries of Operator Learning: A Comprehensive Mathematical...
The remarkable potentials of Artificial Intelligence (AI) and Deep Learning have paved the way for a variety of fields ranging from computer vision and...
New MIT Research Suggests That Training An AI Model With Mathematically...
The prevalence of superhuman artificial intelligence (AI) in competitive games such as chess, Atari, StarCraft II, DotA, and poker is growing.
Recent advances in deep...
Researchers Built a Neural Network That Not Only Solves but Explains...
This Article is written as a summay by Marktechpost Staff based on the paper 'A Neural Network Solves, Explains, and
Generates University Math Problems by...
MIT Researchers Create ‘ExSum’: A Mathematical Framework To Evaluate Explanations Of...
This Article Is Based On The Research Paper 'EXSUM: From Local Explanations to Model Understanding'. All Credit For This Research Goes To The Researchers...
Understanding Goodhart’s Law Metrics and Mathematics Behind The Process
This article is based on OpenAI's Post 'Measuring Goodhart’s Law'. Most credit goes to OpenAI researchers 👏👏👏
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Researchers, Including Yann Lecun, Propose ‘projUNN’: An Efficient Method For Training...
This research summary is based on the paper 'projUNN: efficient method for training deep networks with unitary matrices'
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Researchers Develop Data‑Driven Discovery of Green’s Functions With Human‑Understandable Deep Learning
This research summary is based on the paper 'Data‑driven discovery of Green’s functions with human‑understandable deep learning'
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Mathematicians...
UC Berkeley Researchers Introduce ‘imodels: A Python Package For Fitting Interpretable...
Recent developments in machine learning have resulted in more complicated predictive models, typically at the expense of interpretability. Interpretability is frequently required, especially in...
Common Probability Distributions: Road Towards Data Science
Probability is concerned with interpreting and comprehending life's random events. Randomness and uncertainty are present in our everyday lives and every field of research,...
JuMP: An AML Based Modeling Language Embedded In Julia For Mathematical...
Optimization as a fundamental technology is a universal concept that finds application in almost every discipline, including business, engineering, economics. It is defined as...
MIT Researchers Open-Sourced ‘MADDNESS’: An AI Algorithm That Speeds Up Machine...
Matrix multiplication is one of the essential operations in machine learning (ML). However, these operations are extensively computationally costly due to the extensive use...
Cornell University and NTT Research Introduce Physical Neural Networks (PNNs): A...
DNNs (Deep neural networks) have proven to be of great use in solving various complex problems in image and speech recognition and NLP. DDNs...
Researchers from UC Berkeley and CMU Introduce a Task-Agnostic Reinforcement Learning...
Applying Deep Learning techniques to complex control tasks depends on simulations before transferring models to the real world. However, there is a challenging “reality...
Optimizers in Keras Part – 1
You have heard of an optimization technique named Gradient Descent. Now, suppose you are dealing with a massive dataset having one million data points....
Understanding Neuromorphic Computing: The Next Generation of AI
Neuromorphic computing, as the name suggests, uses a model that’s inspired by the workings of the brain. The brain makes an appealing model for...
Penrose: A system to convert complex mathematical equations into simple visual...
Researchers from CMU and Technion developed Penrose. It is named Penrose, after the renowned mathematician and physicist Roger Penrose. The unavailability of tools or...