KIRTLAND AIR FORCE BASE, N.M. – The Air Force Research Laboratory, or AFRL, conducted a demonstration, April 5, 2023, of its high-power microwave counter drone weapon, the Tactical High-power Operational Responder, or TH
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Public health advocates say land at Hunters Point in San Francisco contains dangerous levels of strontium-90
The company is working on a system called Gemini that will draw on techniques that powered AlphaGo to a historic victory over a Go champion in 2016.
The Sriracha shortage has led to sky-high prices and bottles disappearing from restaurants. It's caused by drought-fueled supply chain issues that experts say are becoming more common.
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Links of the Day
Ultimate Robotics is taking robotic arms to the next level with this EMG-controlled robot arm featuring an Arduino.
NASA’s Juno spacecraft has made another pass of our solar system’s gas giant, capturing even more iconic and breathtaking photos of Io, Jupiter’s volcanic moon. NASA shared the new images on Twitter, showcasing the volcanic moon in beautiful half shadows.
Contribute to microsoft/i-Code development by creating an account on GitHub.
We expanded speech technology from about 100 languages to over 1,000 by building a single multilingual speech recognition model supporting over 1,100...
NASA's CAPSTONE cubesat has captured its first image of the moon, snapping the lunar north pole as it tested navigation technology similar to GPS used around Earth.
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Blog Posts
Autoencoders: Compression, Reconstruction, and Beyond
NOTE: This post is part of my Machine Learning Series where I discuss how AI/ML works and how it has evolved over the last few decades.
Autoencoders are a type of neural network architecture used for tasks such as dimensionality reduction, feature extraction, and data denoising. With their ability to learn efficient representations of data, autoencoders have found applications in various fields, from image processing to anomaly detection. In this post, we'll explore the structure and functionality of autoencoders and delve into their use cases.
Wednesday, May 10th, 2023
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Recurrent Neural Networks: Understanding Sequential Data
NOTE: This post is part of my Machine Learning Series where I discuss how AI/ML works and how it has evolved over the last few decades.
Recurrent Neural Networks (RNNs) are a class of neural networks designed to handle sequential data. Whether it's analyzing time series, understanding natural language, or predicting stock prices, RNNs are powerful tools for capturing temporal dependencies in data. In this post, we'll delve into the structure of RNNs, how they process sequences, and their practical applications.
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Tuesday, May 9th, 2023
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Convolutional Neural Networks: The Backbone of Image Recognition
NOTE: This post is part of my Machine Learning Series where I discuss how AI/ML works and how it has evolved over the last few decades.
Convolutional Neural Networks (CNNs) have become the go-to architecture for image recognition and computer vision tasks. CNNs excel at identifying patterns in images, such as edges, textures, and shapes, making them a key player in applications like image classification, object detection, and facial recognition. In this post, we'll explore the key components of CNNs, how they operate on images, and their use cases.
Links of the Day
AI startup Anthropic explains its approach to training text-generating AI models, dubbed 'constitutional AI.'
Not all robots are created equal—and the National Science Foundation wants to help level the playing field to speed up research.
Zero-1-to-3: Zero-shot One Image to 3D Object: https://zero123.cs.columbia.edu/ - GitHub - cvlab-columbia/zero123: Zero-1-to-3: Zero-shot One Image to 3D Object: https://zero123.cs.columbia.edu/
Organic molecules found in first full sample returned directly from an asteroid
TidyBot: Personalized Robot Assistance with Large Language Models
ARCTOS is a 6-DOF robot arm based upon 3D printed mechanics running a modified version of GRBL firmware. Let’s get this straight now, the firmware is open source, but the hardware plans are a paid download, but for less than forty euros, we reckon the investment would be well worth it, judging from the quality of the build instructions and the software support already in place.
ImageBind One Embedding Space to Bind Them All. Contribute to facebookresearch/ImageBind development by creating an account on GitHub.
Monday, May 8th, 2023
Blog Posts
Feedforward Neural Networks
NOTE: This post is part of my Machine Learning Series where I’m discussing how AI/ML works and how it has evolved over the last few decades.
Feedforward Neural Networks (FNNs), also known as Multi-Layer Perceptrons (MLPs), are one of the most fundamental and widely-used neural network architectures in machine learning. FNNs have been employed for a variety of tasks, including classification, regression, and feature extraction. In this post, we'll explore the architecture, training process, and applications of FNNs.
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