Lifeboat Foundation

Google announced a new technology called LIMoE that it says represents a step toward reaching Google’s goal of an AI architecture called Pathways.

Pathways is an AI architecture that is a single model that can learn to do multiple tasks that are currently accomplished by employing multiple algorithms.

LIMoE is an acronym that stands for Learning Multiple Modalities with One Sparse Mixture-of-Experts Model. It’s a model that processes vision and text together.

Philip Glass to release a short silence on the matter.

The music vault is a parallel project to the Global Seed Vault (opens in new tab), which keeps the seeds of today’s trees and plants safe for the future, just in case we need to rebuild agriculture for any reason. The vault is located on the island of Spitsbergen, Norwegian territory, within the Arctic circle. It lacks tectonic activity, is permanently frozen, is high enough above sea level to stay dry even if the polar caps melt, and even if the worst happens, it won’t thaw out fully for 200 years. Just to be on the safe side, the main vault is built 120m into a sandstone mountain, and its security systems are said to be robust. As of June 2021, the seed vault had conserved 1,081,026 different crop samples.

The music is to be stored in a dedicated vault in the same mountain used by the seed vault. The glass used is an inert material, shaped into platters 75mm (3 inches) across and 2mm (less than 1/8th of an inch) thick. A laser encodes data in the glass by creating layers of three-dimensional nanoscale gratings and deformations. Machine learning algorithms read the data back by decoding images and patterns created as polarized light shines through the glass. The silica glass platters are fully resistant to electromagnetic pulses and the most challenging of environmental conditions. It can be baked, boiled, scoured and flooded without degradation of the data written into the glass. Tests to see if it really does last many thousands of years, however, can be assumed to be ongoing.

Continue reading “Microsoft Lasers Music into Glass for 1000 Years of Storage” »

The use of fire was a key factor in the evolution of Homo sapiens, not only for the creation of more sophisticated tools but also for making food safer, which in turn aided brain development.

To date, only five sites with fire evidence dating back 500,000 years have been found worldwide, including Wonderwerk Caves and Swartkrans in South Africa, Chesowanja in Kenya, Gesher Benot Ya’aqov in Israel, and Cueva Negra in Spain.

Now, a n Israeli research team has used artificial intelligence algorithms to discover a sixth site that shows traces of human fire! The study revealed evidence of human use of fire at a late Paleolithic site in Israel. The research results have been published in the journal PNAS.

Sign in Welcome! Log into your account your username your password Forgot your password? Get help Default Kit Password recovery Recover your password your email A password will be e-mailed to you. HometechA celebrated AI has learned a new…

Artificial intelligence has altered the practise of science by enabling researchers to examine the vast volumes of data generated by current scientific instruments. Using deep learning, it can learn from the data itself and can locate a needle in a million haystacks of information. AI is advancing the development of gene searching, medicine, medication design, and chemical compound synthesis.

Scientists Detect Fastest-Growing Black Hole in the Universe

Continue reading “A celebrated AI has learned a new trick: How to do chemistry” »

Incorporating established physics into neural network algorithms helps them to uncover new insights into material properties

According to researchers at Duke University, incorporating known physics into machine learning algorithms can help the enigmatic black boxes attain new levels of transparency and insight into the characteristics of materials.

Researchers used a sophisticated machine learning algorithm in one of the first efforts of its type to identify the characteristics of a class of engineered materials known as metamaterials and to predict how they interact with electromagnetic fields.

A new hack called Hertzbleed can read snippets of data from computer chips remotely and could leave cryptography algorithms vulnerable to attack.

Shield AI, an artificial intelligence company focusing on drones and other autonomous aircraft, is on a mission to build “the world’s best AI pilot.” To that end, the San Diego startup has raised $90 million in equity and $75 million in debt as part of a Series E fundraising round. The funding values Shield AI at $2.3 billion.

Hivemind employs state-of-the-art algorithms for planning, mapping, and state-estimation to enable drones to execute dynamic flight maneuvers. On aircraft, Hivemind enables full autonomy and is designed to run fully on the edge, disconnected from the cloud, in high-threat GPS and communication-degraded environments.

Scientists from the Institute of Industrial Science at The University of Tokyo fabricated three-dimensional vertically formed field-effect transistors to produce high-density data storage devices by ferroelectric gate insulator and atomic-layer-deposited oxide semiconductor channel. Furthermore, by using antiferroelectric instead of ferroelectric, they found that only a tiny net charge was required to erase data, which leads to more efficient write operations. This work may allow for new, even smaller and more eco-friendly data-storage memory.

While consumer flash drives already boast huge improvements in size, capacity, and affordability over previous computer media formats in terms of storing data, new machine learning and Big Data applications continue to drive demand for innovation. In addition, mobile cloud-enabled devices and future Internet of Things nodes will require memory that is energy-efficient and small in size. However, current flash memory technologies require relatively large currents to read or write data.

Now, a team of researchers at The University of Tokyo have developed a proof-of-concept 3D stacked memory cell based on ferroelectric and antiferroelectric field-effect transistors (FETs) with atomic-layer-deposited oxide semiconductor channel. These FETs can store ones and zeros in a non-volatile manner, which means they do not require power to be supplied at all times. The vertical device structure increases information density and reduces operation energy needs. Hafnium oxide and indium oxide layers were deposited in a vertical trench structure. Ferroelectric materials have electric dipoles that are most stable when aligned in the same direction. Ferroelectric Hafnium Oxide spontaneously enables the vertical alignment of the dipoles. Information is stored by the degree of polarization in the ferroelectric layer, which can be read by the system owing to changes in electrical resistance.