The sale of the world’s first Intelligent Collectibles & 10,000 Personality Pods (AI Souls) for NFTs has brought in almost 4,000 ETH netting approximately 17 million USD in Primary and Secondary Sales to build a community owned Intelligent Metaverse.
NEW YORK, October 20th 2021 — Alethea AI concluded their 7-day auction and direct sale for two historic collections:
I) a first of its kind collection, “The Revenants”, which are a collection of one hundred Intelligent NFTs on October 19th.
Researchers at the Allen Institute for AI created Ask Delphi to make ethical judgments — but it turned out to be awfully bigoted and racist instead.
As a robotics engineer, Yasemin Ozkan-Aydin, assistant professor of electrical engineering at the University of Notre Dame, gets her inspiration from biological systems. The collective behaviors of ants, honeybees and birds to solve problems and overcome obstacles is something researchers have developed in aerial and underwater robotics. Developing small-scale swarm robots with the capability to traverse complex terrain, however, comes with a unique set of challenges.
In research published in Science Robotics, Ozkan-Aydin presents how she was able to build multi-legged robots capable of maneuvering in challenging environments and accomplishing difficult tasks collectively, mimicking their natural-world counterparts.
“Legged robots can navigate challenging environments such as rough terrain and tight spaces, and the use of limbs offers effective body support, enables rapid maneuverability and facilitates obstacle crossing,” Ozkan-Aydin said. “However, legged robots face unique mobility challenges in terrestrial environments, which results in reduced locomotor performance.”
Has any automotive enthusiast failed to hear the words “Back to the Future” and DeLorean DMC-12 mentioned in the same sentence at least once? We assume the opposite, so let’s just get to the part where other vehicles play the latter’s role.
GOHEUNG, South Korea — South Korea failed to deliver a satellite into orbit on Thursday, crushing its dream to become the 10th country in the world to reach the milestone using its own technology.
President Moon Jae-in said that the three-stage Nuri rocket could not reach orbit, although it flew as high as 700 km into space after all its three stages separated successfully.
“I am sorry that we could not reach the goal completely, but it’s still a very excellent accomplishment,” Moon said after the launch at the Naro Space Center on South Korea’s southernmost island of Oenarodo. “We have an uncompleted mission to deliver a dummy satellite into orbit safely.”
Elon Musk has built two industrial behemoths— Tesla and SpaceX—revolutionizing two industries along the way. But that’s not all he has done to change global industry.
Musk has also given manufacturing companies a new word: gigafactory.
The practical definition of a gigafactory is a larger, modern manufacturing facility for products that are designed to lower global carbon emissions.
Kaku et al. demonstrate that the efficacy of neutralizing mAbs and convalescent plasma is maintained against SARS-CoV-2 variants B.1.1.7 from the UK and mink cluster 5 but decreases against B.1.351 from South Africa and P.1 from Brazil. Rapid spread of these variants significantly impacts SARS-CoV-2 therapies and vaccine strategies.
The joint patrol first passed through a 12-mile-wide strait between Japan’s main islands in an already significant show of force.
Circa 2016 Basically means we can see contaminated water easier.
Detection and quantification of contaminants or pollutants in surface waters is of great importance to ensure safety of drinking water and for the aquatic environment1,2,3,4,5,6. Metaldehyde (CH3CHO)4 is a cyclic tetramer of acetaldehyde and is used extensively around the world as a molluscicide in agriculture for the control of slugs to protect crops. Large amounts of metaldehyde residues (from ‘slug pellets’) become mobilized, especially during periods of rainfall, seeping into reservoirs, rivers and groundwater, from which drinking water is sourced. Although metaldehyde has low toxicity, cases of metaldehyde poisoning and death in both humans and animals have been reported6,7,8. The United States Environmental Protection Agency (EPA) re-registered metaldehyde as a ‘restricted use pesticide’ and required risk-reduction measures to be adopted due to the potential short-term and long-term effects on wildelife9,10. The World Health Organization (WHO) classifies metaldehyde as a “moderately hazardous” pesticide (class II)11. In Europe, the European Commission has adopted a directive that restricts pesticides levels to 0.1 μg/L in drinking water12,13. Water companies and environmental agencies are under increasing pressure to routinely monitor levels of metaldehyde residues in water courses as part of their legal obligation14. As such there is an increasing need to develop effective analytical methods for detecting and quantifying metaldehyde in water samples at the source. In particular in-situ monitoring is required to ensure water management practices are based on empirical, up-to-date information which provides a better understanding of competing factors, risk and requirement.
Rapid analytical methods for in-situ analysis of metaldehyde in water, if available, would provide critical information on water quality for water companies and regulation bodies to manage exposures. Quantitative analysis of metaldehyde has been reported using various ex-situ methods based on solid-phase extraction8,15 followed by gas chromatography (GC) or high performance liquid chromatography (HPLC) with mass spectrometry (MS)7,14,15,16,17,18. However, each of these analytical methods involves extensive sample preparation including extraction, separation, and derivatization, resulting in increased cost and time of analysis. As will be demonstrated in this study, ambient ionization (AI) combined with tandem mass spectrometry (MS/MS) can overcome such limitations19,20,21,22.
AI is a form of ionization that is performed on unmodified samples in open air and the method is capable of providing almost instantaneous data while minimizing sample preparation22,23,24,25,26,27,28,29. Some of the most popular AI techniques include desorption electrospray ionization (DESI)30, extractive electrospray ionization (EESI)31,32,33,34,35,36, desorption atmospheric pressure chemical ionization (DAPCI)37,38,39, and direct analysis in real time (DART)40,41. AI-MS shows promise as an analytical tool for in-situ applications and has been demonstrated in a variety of fields where timely intervention is highly desirable such as: homeland security23, food safety42, pharmaceutical drug development43, and environmental monitoring44. There are several advantages to using in-situ AI methods capable of onsite analysis.
