Lifeboat Foundation

On the other, because organisms share the same universal code, they’re vulnerable to outside attacks from viruses and other pathogens—and can transfer their new capabilities to natural organisms, even if it kills them.

Why not build a genetic firewall?

A recent study in Science did just that. The team partially reworked the existing genetic code into a “cipher” that normal organisms can’t comprehend. Similarly, the engineered bacteria lost its ability to read the natural genetic code. The tweaks formed a powerful language barrier between the engineered bacteria and natural organisms, isolating each from sharing genetic information with the other.

Is a science fiction short story and subsequent novel written by Daniel Keyes.

Sci fiction Audiobooks Ted Chiang Understand.

New research finds evidence of waveguiding in a unique quantum material. These findings counter expectations about how metals conduct light and may push imaging beyond optical diffraction limits.

We perceive metals as shiny when we encounter metals in our day-to-day lives. That’s because common metallic materials are reflective at visible light wavelengths and will therefore bounce back the light that strikes them. Although metals are well suited to conducting electricity and heat, they aren’t typically thought of as a means to conduct light.

However, scientists are increasingly finding examples that challenge expectations about how things should behave in the burgeoning field of quantum materials. New research describes a metal capable of conducting light through it. Conducted by a team of researchers led by Dmitri Basov, Higgins Professor of Physics at Columbia University.

An analysis of more than two decades’ worth of supernova explosions convincingly boosts modern cosmological theories and reinvigorates efforts to answer fundamental questions.

A powerful new analysis has been performed by astrophysicists that places the most precise limits ever on the composition and evolution of the universe. With this analysis, dubbed Pantheon+, cosmologists find themselves at a crossroads.

Pantheon+ convincingly finds that the cosmos is made up of about two-thirds dark energy and one-third matter — predominantly in the form of dark matter — and is expanding at an accelerating pace over the last several billion years. However, Pantheon+ also cements a major disagreement over the pace of that expansion that has yet to be solved.

The number of syphilis cases in Japan this year has exceeded 10,000 for the first time since comparable data became available in 1999.

Japan’s National Institute of Infectious Diseases says 10,141 cases were reported as of October 23. That is about 1.7 times the figure for the same period last year, which was a record high.

Syphilis is a bacterial infection transmitted mainly through sexual contact. Symptoms may quickly disappear, or not appear at all. So, infected people could spread the disease without knowing.

Of course running a state of the art machine learning model, with billions of parameters, is not exactly easy when memory is measured in kilobytes. But with some creative thinking and a hybrid approach that leverages the power of the cloud and blends it with the advantages of tinyML, it may just be possible. A team of researchers at MIT has shown how this may be possible with their method called Netcast that relies on heavily-resourced cloud computers to rapidly retrieve model weights from memory, then transmit them nearly instantaneously to the tinyML hardware via a fiber optic network. Once those weights are transferred, an optical device called a broadband “Mach-Zehnder” modulator combines them with sensor data to perform lightning-fast calculations locally.

The team’s solution makes use of a cloud computer with a large amount of memory to retain the weights of a full neural network in RAM. Those weights are streamed to the connected device as they are needed through an optical pipe with enough bandwidth to transfer an entire full feature-length movie in a single millisecond. This is one of the biggest limiting factors that prevents tinyML devices from executing large models, but it is not the only factor. Processing power is also at a premium on these devices, so the researchers also proposed a solution to this problem in the form of a shoe box-sized receiver that performs super-fast analog computations by encoding input data onto the transmitted weights.

This scheme makes it possible to perform trillions of multiplications per second on a device that is resourced like a desktop computer from the early 1990s. In the process, on-device machine learning that ensures privacy, minimizes latency, and that is highly energy efficient is made possible. Netcast was test out on image classification and digit recognition tasks with over 50 miles separating the tinyML device and cloud resources. After only a small amount of calibration work, average accuracy rates exceeding 98% were observed. Results of this quality are sufficiently good for use in commercial products.

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The particles inside a proton move around when exposed to electric and magnetic fields, causing it to deform, but this behaviour isn’t well understood.