Lifeboat Foundation

The more you rely on unaccountable, opaque, and closed source epistemic vaccines, the more you will end up with a supercult. I’m personally guaranteeing it.

Final warning. This is military-grade techniques being applied to American citizens and if you don’t see a problem with it, you will when we start going after your academics, journalists, intellectuals, scientists, and peers with the same techniques. And you can fucking bet we will.

Coinbase-led Rosetta, an open-source set of tools to help developers integrate other blockchains into their services, just got a new signup: Neo, a blockchain platform that is itself focused on interoperability.

Rosetta, which launched on June 17, is a standardization tool to make it easier for blockchains to speak to each other. Each blockchain is different, making it difficult and time-consuming for crypto project developers to integrate other blockchains.

“The process requires careful analysis of the unique aspects of each blockchain and extensive communication with its developers to understand the best strategies to deploy nodes, recognize deposits, and broadcast transactions,” wrote Neo in a blog post today. “Project developers spend countless hours answering similar support questions for each team integrating their blockchain, rather than spending time working on their blockchain.”

https://youtube.com/watch?v=OnK3oKNsXYo

Russia is holding its largest naval drills in the Pacific in recent memory as the U.S. Navy’s big RIMPAC wargames are underway.

Big initiatives to understand the workings of the brain

Neuroscience has a data problem. In our efforts to understand the brain researchers are generating ever greater amounts of data. The problem is, how can they gain meaning from it?

Continue reading “People Power Increase Processing Speed” »

Why underwater robots are vacuuming up lionfish.

No puncture, no pressure. GM could offer Michelin’s airless tire soon.

A space engineer made a working rotary cell phone.

This tiny battery could change the game for micro robots.

Abstract: Advances in high speed imaging techniques have opened new possibilities for capturing ultrafast phenomena such as light propagation in air or through media. Capturing light-in-flight in 3-dimensional xyt-space has been reported based on various types of imaging systems, whereas reconstruction of light-in-flight information in the fourth dimension z has been a challenge. We demonstrate the first 4-dimensional light-in-flight imaging based on the observation of a superluminal motion captured by a new time-gated megapixel single-photon avalanche diode camera. A high resolution light-in-flight video is generated with no laser scanning, camera translation, interpolation, nor dark noise subtraction. A machine learning technique is applied to analyze the measured spatio-temporal data set. A theoretical formula is introduced to perform least-square regression, and extra-dimensional information is recovered without prior knowledge. The algorithm relies on the mathematical formulation equivalent to the superluminal motion in astrophysics, which is scaled by a factor of a quadrillionth. The reconstructed light-in-flight trajectory shows a good agreement with the actual geometry of the light path. Our approach could potentially provide novel functionalities to high speed imaging applications such as non-line-of-sight imaging and time-resolved optical tomography.