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To Save It, Eat It
The days are long but the decades are short
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging
How To Start Google
Project Pigeon
Advancing science: Microsoft and Quantinuum demonstrate the most reliable logical qubits on record with an error rate 800x better than physical qubits
RAG is more than just embedding search
Say Hello to Precision: How Rerankers and Embeddings Boost Search
Advice to Young People, The Lies I Tell Myself
Job networking for developers
Being laid off in 2023-2024 as an early-career developer
Application of Structural Retinal Biomarkers to Detect Cognitive Impairment in a Primary Care Setting
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
How To Not Die
The BONSAI (Brain and Optic Nerve Study with Artificial Intelligence) deep learning system can accurately identify pediatric papilledema on standard ocular fundus photographs
is the job market dying?
U-Net: Convolutional Networks for Biomedical Image Segmentation
FIVES: a Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation
Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs
Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department
How VCs Are Approaching Valuations in 2024
Detection of signs of disease in external photographs of the eyes via deep learning
Artificial intelligence in ophthalmology: The path to the real-world clinic
Let Your Sins Be Strong: A Letter From Luther to Melanchthon
Jane Street - Probability and Markets
Representation Engineering: A Top-Down Approach to AI Transparency
A Systematic Review and Meta-Analysis of Applying Deep Learning in the Prediction of the Risk of Cardiovascular Diseases From Retinal Images
You Are Not Late
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
What's an Obelisk, Anyway?
RC4
Dennard scaling
The Triumph and Terror of Wang Huning
Guide to NumPy
Self Respect - Its Source, Its Power
Four Thousand Weeks - A Tribute
The end of 0% interest rates: what the new normal means for software engineers
Researchers Approach New Speed Limit for Seminal Problem
Web Scraping in Python: Avoid Detection Like a Ninja
A Friedman doctrine‐- The Social Responsibility of Business Is to Increase Its Profits
Year 2038 Problem
SIMD in Pure Python
A Prospective Study on Diabetic Retinopathy Detection Based on Modify Convolutional Neural Network Using Fundus Images at Sindh Institute of Ophthalmology & Visual Sciences
Artificial intelligence in diabetic retinopathy: A natural step to the future
The Strength of Being Misunderstood
What I Wish Someone Had Told Me
Brain Organoid Computing for Artificial Intelligence
Disrupt The Government
Imitation Learning
A friendly introduction to machine learning compilers and optimizers
Signed Distance Functions
Fast Multidimensional Matrix Multiplication on CPU from Scratch
Beautiful Code - Multidimensional Iterators in NumPy
An Illustrated Guide to Shape and Strides
AI as a Mental Health Therapist for Adolescents
Understanding Automatic Differentiation in 30 lines of Python
Precision Agriculture
Factor Zoo
Superlinear Returns
How To Ask Questions The Smart Way
What is -1 to 0? A Philosophy of Ideation.
Copulas: An Essential Guide & Applications in Time Series Forecasting
Deep GPVAR: Upgrading DeepAR For Multi-Dimensional Forecasting
Risk Factors for Suicidal Thoughts and Behaviors: A Meta-Analysis of 50 Years of Research
Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects
Advanced Time Series Analysis in Python: Seasonality and Trend Analysis (Decomposition), Autocorrelation
Letter to the Editor: Suicide as a complex classification problem: machine learning and related techniques can advance suicide prediction
Forecasting realized volatility in turbulent times using temporal fusion transformers
On the Shortness of Life
Ego is The Enemy
Deep Learning Stock Volatility with Google Domestic Trends
Deep Learning for Volatility Forecasting in Asset Management
Zero To One
Volatility Forecasting with Machine Learning and Intraday Commonality
Stopping The Noise in Your Head