Smithsonian Magazine

Humans May Have Used These Mysterious Symbols to Encode Information Tens of Thousands of Years Before the First Writing Systems

The symbols, discovered on 40,000-year-old artifacts in caves in southwest Germany, may have been a precursor to the first written language ...
ZME Science on MSN

Mysterious marks on 40,000-year-old Ice Age figurines may actually be the earliest precursor to writing

Deep in a cave in southwestern Germany, a Stone Age artist carved a tiny mammoth from a piece of tusk. They then covered it ...

Writing May Have Begun 40,000 Years Ago

Ancient carvings once thought decorative may actually be early attempts to record information. Their statistical complexity matches that of proto-cuneiform, pushing the origins of writing-like systems ...
Tech Xplore

Exposing biases, moods, personalities and abstract concepts hidden in large language models

By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...

AI model delivers detailed 15-day Mediterranean Sea predictions in seconds

SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster and ...
Visual Studio Magazine

Decision Tree Regression from Scratch Without Pointers or Recursion Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
GitHub

A .NET library that provides automatic encoding/decoding of numeric properties to obfuscated strings during JSON serialization using attributes. This helps prevent exposing ...

While CloakId is not a substitute for proper security measures like authentication, authorization, and access control, it provides valuable protection against information disclosure and business ...
The Manila Times

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
GitHub

kavingas/s3-data-processor

A containerized Python application that reads JSON files from S3, makes HTTP API calls based on the data, and writes results back to S3. Designed for deployment on Kubernetes clusters. Build and push ...