Forem

Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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Squeezing AI into Tiny Spaces: The Integer Revolution

Squeezing AI into Tiny Spaces: The Integer Revolution

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2 min read
Steps of Building an LLM — An Overview
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Steps of Building an LLM — An Overview

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3 min read
Cyber Arena for Symbolic AI Defense
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Cyber Arena for Symbolic AI Defense

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3 min read
Unlock Superhuman Classification: Train on Positives Alone by Arvind Sundararajan

Unlock Superhuman Classification: Train on Positives Alone by Arvind Sundararajan

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2 min read
UX for AI Agents: Designing Interfaces That Machines, Not Humans, Use

UX for AI Agents: Designing Interfaces That Machines, Not Humans, Use

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3 min read
Unlocking AI's Hidden Geometry: A New Path to True Understanding by Arvind Sundararajan

Unlocking AI's Hidden Geometry: A New Path to True Understanding by Arvind Sundararajan

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2 min read
Unmasking AI's Blind Spots: Counterfactuals Beyond the Straight Line

Unmasking AI's Blind Spots: Counterfactuals Beyond the Straight Line

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2 min read
Unsupervised Learning: A Focus on Clustering
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Unsupervised Learning: A Focus on Clustering

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2 min read
Causal Loops: Predicting the Unpredictable with Feedback-Aware AI

Causal Loops: Predicting the Unpredictable with Feedback-Aware AI

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2 min read
Why Production Logs Are a QA Goldmine (And Why Nobody Uses Them)
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Why Production Logs Are a QA Goldmine (And Why Nobody Uses Them)

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4 min read
Temporal Prompting Matters: Rethinking Referring Video Object Segmentation
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Temporal Prompting Matters: Rethinking Referring Video Object Segmentation

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1 min read
From Words to Vectors: Unlocking Semantic Search Power with NLP and Milvus
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From Words to Vectors: Unlocking Semantic Search Power with NLP and Milvus

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3 min read
Unlocking AI's Potential: Reframing 'Instrumental Goals' as Engineering Opportunities

Unlocking AI's Potential: Reframing 'Instrumental Goals' as Engineering Opportunities

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2 min read
Unlocking Neural Network Secrets: The Geometric Awakening by Arvind Sundararajan

Unlocking Neural Network Secrets: The Geometric Awakening by Arvind Sundararajan

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2 min read
From Schema to Knowledge Panel How Developers Can Build a Verified Online Presence
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From Schema to Knowledge Panel How Developers Can Build a Verified Online Presence

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3 min read
Which models dominate churn prediction? Insights from 240 ML/DL studies (2020–2024)
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Which models dominate churn prediction? Insights from 240 ML/DL studies (2020–2024)

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1 min read
Positional Encoding - Sense of direction for Transformers

Positional Encoding - Sense of direction for Transformers

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11 min read
The Tri-Glyph Protocol: Chim Lac, Kitsune, and Anansi in AI/ML Collapse and Editorial Defense
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The Tri-Glyph Protocol: Chim Lac, Kitsune, and Anansi in AI/ML Collapse and Editorial Defense

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3 min read
Transformers for Unseen Patterns: Bayesian Clustering Reimagined

Transformers for Unseen Patterns: Bayesian Clustering Reimagined

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2 min read
Guide to Setting Up AMD Ryzen AI NPU Drivers on Fedora 43

Guide to Setting Up AMD Ryzen AI NPU Drivers on Fedora 43

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4 min read
Decoupled Perception: A New Dawn for Robust AI by Arvind Sundararajan

Decoupled Perception: A New Dawn for Robust AI by Arvind Sundararajan

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2 min read
A Beginner's GAN Adventure with Digits
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A Beginner's GAN Adventure with Digits

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5 min read
Context Boundary Failure in LLMs Part 1
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Context Boundary Failure in LLMs Part 1

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4 min read
Binary Brains: Secure AI on the Edge with In-Memory Magic by Arvind Sundararajan

Binary Brains: Secure AI on the Edge with In-Memory Magic by Arvind Sundararajan

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2 min read
🚦 Can You Trust an LLM to Manage Traffic on a Monday Morning?
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🚦 Can You Trust an LLM to Manage Traffic on a Monday Morning?

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4 min read
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