Yes, great for 2005 but falls way short for 2026. 21 years is a long time (or should we say an epoch) in computer vision and AI.
@learnopencv
-
HOG: The Algorithm That Powered Early Human Detection
By
–
HOG: The Algorithm That Powered Early Human Detection
— Satya Mallick (@LearnOpenCV) 13 mars 2026
In 2005, before deep learning dominated computer vision, researchers introduced Histogram of Oriented Gradients (HOG) – a powerful technique for detecting people in images. Instead of analyzing raw pixels, HOG focused on… pic.twitter.com/vCcvn6IjdDHOG: The Algorithm That Powered Early Human Detection In 2005, before deep learning dominated computer vision, researchers introduced Histogram of Oriented Gradients (HOG) – a powerful technique for detecting people in images. Instead of analyzing raw pixels, HOG focused on
-
Google Enhances AI Technology Comparable to Tesla Grok
By
–
This looks really nice. Google is upping its game and will feel like Grok on my Tesla. https://t.co/QlNn8VPmSj
— Satya Mallick (@LearnOpenCV) 12 mars 2026This looks really nice. Google is upping its game and will feel like Grok on my Tesla.
-
Why You Must Check Every AI Code Line
By
–
Why you must check every AI code line pic.twitter.com/OuhUr0jKGF
— Satya Mallick (@LearnOpenCV) 11 mars 2026Why you must check every AI code line
-
A Trillion Dollars Seed Round Investment Record
By
–
A billion isn’t cool. You know what’s cool? A TRILLION dollars! That’s my thought after learning about $1 billion “seed” round.
-
ByteTrack: Advanced Real-Time Multi-Object Tracking for AI Systems
By
–
ByteTrack: A Smarter Way for AI to Track Objects in Real Time
— Satya Mallick (@LearnOpenCV) 10 mars 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore ByteTrack, a breakthrough approach in multi-object tracking that significantly improves how AI systems follow objects across video frames.… pic.twitter.com/UqDOR4iaVaByteTrack: A Smarter Way for AI to Track Objects in Real Time In this episode of Artificial Intelligence: Papers and Concepts, we explore ByteTrack, a breakthrough approach in multi-object tracking that significantly improves how AI systems follow objects across video frames.
-
Top Bar Shot: Total Controversy and AI Verdict
By
–
Top bar shot, total controversy, AI verdict pic.twitter.com/4a60WK5LcL
— Satya Mallick (@LearnOpenCV) 9 mars 2026Top bar shot, total controversy, AI verdict
-
LoRA: Fine-tuning Large AI Models Efficiently Without Full Retraining
By
–
LoRA: Teaching Massive AI Models New Skills Without Retraining Everything
— Satya Mallick (@LearnOpenCV) 13 février 2026
In this episode of Artificial Intelligence: Papers and Concepts, we break down LoRA (Low-Rank Adaptation) – a breakthrough technique that makes fine-tuning large language models faster, cheaper, and far… pic.twitter.com/Zmw6e9lsnPLoRA: Teaching Massive AI Models New Skills Without Retraining Everything In this episode of Artificial Intelligence: Papers and Concepts, we break down LoRA (Low-Rank Adaptation) – a breakthrough technique that makes fine-tuning large language models faster, cheaper, and far
-
AI Statistical Outputs: Training and Evaluation Essentials
By
–
AI differs from software; outputs are statistical, not guaranteed, requiring careful training and evaluation. pic.twitter.com/4SGQMgdys0
— Satya Mallick (@LearnOpenCV) 13 février 2026AI differs from software; outputs are statistical, not guaranteed, requiring careful training and evaluation.
-
YOLO26: NMS-Free Object Detection with Real-Time Edge Performance
By
–
Breaking the Bottleneck YOLO26 redefines object detection with native NMS‑free inference. No thresholds, no latency spikes – just stable, real‑time edge performance.
Ultralytics’ latest release (Jan 14, 2026) marks a paradigm shift: One‑to‑One label assignment eliminates