Lifeboat Foundation

A new optical device measures photon indistinguishability—an important property for future light-based quantum computers.

Photons can be used to perform complex computations, but they must be identical or close to identical. A new device can determine the extent to which several photons emitted by a source are indistinguishable [1]. Previous methods only gave a rough estimate of the indistinguishability, but the new method offers a precise measurement. The device—which is essentially an arrangement of interconnected waveguides—could work as a diagnostic tool in a quantum optics laboratory.

In optical quantum computing, sequences of photons are made to interact with each other in complex optical circuits (see Synopsis: Quantum Computers Approach Milestone for Boson Sampling). For these computations to work, the photons must have the same frequency, the same polarization, and the same time of arrival in the device. Researchers can easily check if two photons are indistinguishable by sending them through a type of interferometer in which two waveguides—one for each photon—come close enough that one photon can hop into the neighboring waveguide. If the two photons are perfectly indistinguishable, then they always end up together in the same waveguide.

Laser experiments can track how the excitations of quantum states of a “buckyball” relax after the molecule collides with other particles.

An international team of researchers have refined a remote-control cyborg cockroach.

You can get down off the table – they’re not in the wild yet. But it’s reasonable to ask why they’d do such a thing.

It’s not because they have a nasty streak. Animals fitted with electronic devices can get into places that humans can’t go.

Advancing smart dust concepts is inhibited by a lack of equally small on-chip power sources that can function anytime and anywhere. Could this microbattery the size of a grain of salt be the solution?

An experimental combination of two drugs halts the progression of small cell lung cancer, the deadliest form of lung cancer, according to a study in mice from researchers at Washington University School of Medicine in St. Louis, Grenoble Alpes University in Grenoble, France, and The University of Texas MD Anderson Cancer Center in Houston.

One of the drugs, cyclophosphamide, is an outdated chemotherapy drug once used to treat small cell lung cancer. It was displaced in favor of platinum-based drugs in the 1980s. Both kinds of drugs work at first but falter after a few months as the cancer develops resistance. Platinum-based drugs became the standard of care mainly because they cause lesser side effects, but they have not substantially improved prognosis. Today, the typical patient survives less than a year and a half after diagnosis.

In this study, however, researchers showed that small cell lung cancer cells resist cyclophosphamide by activating a specific repair process, and demonstrated that throwing a wrench into the repair process makes the drug much more effective, at least in mice. The findings, available online in Cancer Discovery, suggest a pathway to better therapies for one of the least treatable forms of cancer.

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.

Continue reading “Joscha Bach — Strong AI: Why we should be concerned” »

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

Continue reading “Robot Sales Hit Record High in North America for Third-Straight Quarter” »

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.