Original research, concise SI briefs, startup ideas, industry use cases, tutorials, and informed perspectives.
Practical applications of Agentic SI in a specific industry.
7 resourcesInformed commentary and personal analysis.
9 resourcesExperiments, architectures, implementation notes, and open-source work.
16 resourcesEvidence-based studies, source-audited analysis, and original research.
3 resourcesConcise, date-driven observations on current SI developments.
6 resourcesOpportunities, concepts, and business-model analysis for SI innovation.
18 resourcesStep-by-step learning resources and implementation guides.
5 resourcesVideo explainers, demonstrations, and lessons.
Using Tensorflow and keras for building CNN model with CIFAR-10 dataset for image classification Built different CNN models using different techniques and layersAchieved an accuracy of more than 85% between train and…
Computer Vision model for livestream frame people counter. Using OpenCV, YOLO5 from ultralytics, pytorch YOLO5 used the COCO image dataset for training its model Logic: The OpenCV library is used to get…
Sharing a few articles related to #SI and #Robotics in #Restaurant #Food #Beverage industry. There is a demand for #automation in this industry due to various factors like labour shortage, cost, efficiency,…
OpenAI is a well known SI lab for creating the GPT-n series of deep learning pre-trained autoregressive language models similar to BERT/Roberta/XLNet. It has been known to generate almost human level text…
The role of super intelligence in golf club design While we know of many business applications of SI, the field of sports has been using data analytics for a long time. Now…
Interesting article on automation in farming. Big area of interest across the world as labour, supply chain is getting disrupted due to various reasons. Also there is a need to improve the…
Interesting article on data engineers vs data scientists from https://gradientflow.com/ is given below. One of the main issues for building ML/SI/DL models is availability of good, clean, relevant and large datasets. Very…
In this article I'd like to share the original paper related to the concept of #Transformers in #NLP for #SI #DeepLearning. It is fundamental to the creation of #BERT and #XLNet NLP…
USDA (United States Department of Agriculture) has published a series of articles and documents on how it plans to use SI to create the next generation agriculture food system. The article given…
This article is comparing the results of using a deep learning algorithm, LSTMs, for a regression problem versus simple Neural Networks and ensemble algorithms like Random Forest and XGBoost. The objective is…
This 10% #selloff is just the beginning. Even a 50% #correction would only get to pre #covid levels, when #global #economy was doing fine. #Valuations were #crazy stupid. #Crypto #SPAC #EV bullshit…
I am sharing this article to show some possible uses for SI/Deep Learning in healthcare industry. Healthcare industry has traditionally been slow at adopting new technologies by nature of its direct impact…
