Lifeboat Foundation

Title: Strong AI: Why we should be concerned about something nobody knows how to build.
Synopsis: At the moment, nobody fully knows how to create an intelligent system that rivals or exceed human capabilities (Strong AI). The impact and possible dangers of Strong AI appear to concern mostly those futurists that are not working in day-to-day AI research. This in turn gives rise to the idea that Strong AI is merely a myth, a sci fi trope and nothing that is ever going to be implemented. The current state of the art in AI is already sufficient to lead to irrevocable changes in labor markets, economy, warfare and governance. The need to deal with these near term changes does not absolve us from considering the implications of being no longer the most intelligent beings on this planet.
Despite the difficulties of developing Strong AI, there is no obvious reason why the principles embedded in biological brains should be outside of the range of what our engineering can achieve in the near future. While it is unlikely that current narrow AI systems will neatly scale towards general modeling and problem solving, many of the significant open questions in developing Strong AI appear to be known and solvable.

Talk held at ‘Artificial Intelligence / Human Possibilities’ event as adjunct to the AGI17 conference in Melbourne 2017.

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Quantum entanglement and spacetime wormholes helped to solve a long-standing quandary.

By George Musser

By:George Musser

This will create new types of jobs especially in software industries.

ANN ARBOR, Mich.—(BUSINESS WIRE)—For the third-straight quarter, robot sales in North America hit a record high, driven by a resurgence in sales to automotive companies and an ongoing need to manage increasing demand to automate logistics for e-commerce. According to the Association for Advancing Automation, of the 12,305 robots sold in Q2 2022, 59% of the orders came from the automotive industry with the remaining orders from non-automotive companies largely in the food & consumer goods industry, which saw a 13% increase in unit orders over the same period, April through June, in 2021.

Robot sales hit new record in North America for 3rd straight quarter: Includes renewed surge in #automotive and continued uptake of #robotics and #automation in food and consumer goods industries driven by #ecommerce, industry group @a3automate reports. Tweet this

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The Dunedin Pace of Aging Algorithm (PACE) was created by researchers from Duke, and the University of Otago over the course of 50 years of longitudinal research. It offers a revolutionary way to track aging which looks at an individual’s current rate of aging, and now TruDiagnostic has announced it is offering this powerful, third-generation clock to the public at an affordable price through TruAge PACE.

Longevity. Technology: Biologically, aging is the process of human cells slowly losing function over time; this process can be tracked by examining molecular markers called methylation and using advanced algorithms to sort those markers and calculate a person’s biological age – how old they are biologically rather than they number of birthdays they have clocked up.

The ability to track aging is dependent on the ability of the algorithms themselves. Until recently, most algorithms were trained on chronological age, and this meant they had poor responsiveness to interventions that are known to impact the biological course of aging. PACE gives individuals t he ability to detect rapid aging at an early age.

With gas prices soaring and food costs pinching family budgets, an interdisciplinary team of researchers at WPI is looking at ways to use food waste to make a renewable and more affordable fuel replacement for oil-based diesel. The work, led by Chemical Engineering Professor Michael Timko, is detailed in a new paper in the journal iScience.

“By creating a biodiesel through this method, we’ve shown that we can bring the price of gas down to $1.10 per gallon, and potentially even lower,” said Timko.

The Environmental Protection Agency estimates that, in 2018 in the United States, about 81% of household food—about 20 tons—ended up in landfills or combustion facilities. Food waste is also a major contributor to climate change: once it’s placed in landfills, it emits methane, a greenhouse gas.

A research team led by a physicist at the University of California, Riverside, has demonstrated a new magnetized state in a monolayer of tungsten ditelluride, or WTe₂, a new quantum material. Called a magnetized or ferromagnetic quantum spin Hall insulator, this material of one-atom thickness has an insulating interior but a conducting edge, which has important implications for controlling electron flow in nanodevices.

In a typical conductor, electrical current flows evenly everywhere. Insulators, on the other hand, do not readily conduct electricity. Ordinarily, monolayer WTe₂ is a special insulator with a conducting edge; magnetizing it bestows upon it more unusual properties.

“We stacked monolayer WTe₂ with an insulating ferromagnet of several atomic layer thickness—of Cr₂Ge₂Te₆, or simply CGT—and found that the WTe₂ had developed ferromagnetism with a conducting edge,” said Jing Shi, a distinguished professor of physics and astronomy at UCR, who led the study. “The edge flow of the electrons is unidirectional and can be made to switch directions with the use of an external magnetic field.”

In a recent publication in the journal Advanced Materials, a team of physicists and chemists from TU Dresden presents an organic thin-film sensor that describes a completely new way of identifying the wavelength of light and achieves a spectral resolution below one nanometer. As integrated components, the thin-film sensors could eliminate the need for external spectrometers in the future. A patent application has already been filed for the novel technology.

Spectroscopy comprises a group of experimental methods that decompose radiation according to a specific property, such as wavelength or mass. It is considered one of the most important analytical methods in research and industry. Spectrometers can determine colors (wavelengths) of light sources and are used as sensors in various applications, such as medicine, engineering, food industry and many more. Commercially available instruments are usually relatively large and very expensive. They are mostly based on the principle of the prism or grating: light is refracted and the wavelength is assigned according to the angle of refraction.

At the Institute for Applied Physics (IAP) and the Dresden Integrated Center for Applied Physics and Photonic Materials (IAPP) of the TU Dresden, such sensor components based on organic semiconductors have been researched for years. With the spin-offs Senorics and PRUUVE, two technologies have already been developed towards market maturity. Now, researchers at the IAP and IAPP, in cooperation with the Institute of Physical Chemistry, have developed a thin-film sensor that describes a completely new way of identifying the wavelength of light and, due to its small size and cost, has clear advantages over commercially available spectrometers.

Squeaky, cloudy or spherical—electron orbitals show where and how electrons move around atomic nuclei and molecules. In modern chemistry and physics, they have proven to be a useful model for quantum mechanical description and prediction of chemical reactions. Only if the orbitals match in space and energy can they be combined—this is what happens when two substances react with each other chemically. In addition, there is another condition that must be met, as researchers at Forschungszentrum Jülich and the University of Graz have now discovered: The course of chemical reactions also appears to be dependent on the orbital distribution in momentum space. The results were published in the journal Nature Communications.

Chemical reactions are ultimately nothing more than the formation and breakdown of electron bonds, which can also be described as orbitals. The so-called molecular orbital theory thus makes it possible to predict the path of chemical reactions. Chemists Kenichi Fukui and Roald Hoffmann received the Nobel Prize in 1981 for greatly simplifying the method, which led to its widespread use and application.

“Usually, the energy and location of electrons are analyzed. However, using the photoemission tomography method, we looked at the momentum distribution of the orbitals,” explains Dr. Serguei Soubatch. Together with his colleagues at the Peter Grünberg Institute (PGI-3) in Jülich and the University of Graz in Austria, he adsorbed various types of molecules on metal surfaces in a series of experiments and mapped the measured momentum in the so-called momentum space.

Two-dimensional van der Waals materials have been the focus of work by numerous research groups for some time. Standing just a few atomic layers thick, these structures are produced in the laboratory by combining atom-thick layers of different materials (in a process referred to as “atomic Lego”). Interactions between the stacked layers allow the heterostructures to exhibit properties that the individual constituents lack.

Two-layered molybdenum disulfide is one such van der Waals material, in which electrons can be excited using a suitable experimental setup. These negatively charged particles then leave their position in the valence band, leaving behind a positively charged hole, and enter the conduction band. Given the different charges of electrons and holes, the two are attracted to one another and form what is known as a quasiparticle. The latter is also referred to as an electron-hole pair, or exciton, and can move freely within the material.

In two-layered molybdenum disulfide, excitation with light produces two different types of electron-hole pairs: intralayer pairs, in which the electron and hole are localized in the same layer of the material, and interlayer pairs, whose hole and electron are located in different layers and are therefore spatially separate from one another.