Lifeboat Foundation

The biggest obstacle is that each robotics lab has its own idea of what a conscious robot looks like. There are also moral implications to building robots that have consciousness. Will they have rights, like in Bicentennial Man?

Considerations about conscious robots have been the domain of science fiction for decades. Isaac Asimov wrote several novels, including I, Robot, that examined the implications from the perspectives of law, society, and family, raising a lot of moral questions. Experts in ethical technology have considered and expanded upon these questions as scientists like those in the Columbia University lab work toward building more intelligent machines.

Science fiction has also brought us killer machines like in The Terminator, and conscious robots sound like a good way to have some. Humans might learn bad ideas and act upon them, and there is no reason to believe that robots will not fall into the same trap. Some of science’s greatest minds have warned against getting carried away with artificial intelligence.

Microsoft Corp. is in discussions to invest as much as $10 billion in OpenAI, the creator of viral artificial intelligence bot ChatGPT, according to people familiar with its plans.

What’s ahead for retail, from the metaverse and AI to Gen A’s spending power and an increased focus on sustainability.

In episode 220 of the Stem Cell Podcast, we chat with Dr. Michael Levin, the Director of the Allen Discovery Center and a Distinguished Professor of Biology at Tufts University. He talks about regenerating frog legs, using bioelectricity to direct development, and the potential applications of xenobots.

Roundup Papers:
1) https://go.nature.com/3NR8aaG
2) https://go.nature.com/3NFeGkT
3) https://bit.ly/39tYFiM
4) https://bit.ly/3HrKY0g.

Continue reading “Developmental and Synthetic Biology featuring Dr. Michael Levin | The Stem Cell Podcast” »

A van der Waals crystal, niobium oxide dichloride, with vanishing interlayer electronic coupling and considerable monolayer-like excitonic behaviour in the bulk, as well as strong and scalable second-order optical nonlinearity, is discovered, which enables a high-performance quantum light source.

Gemenefherbak was a vizier. As such, he was responsible for justice, a function symbolized by the pendant picturing the goddess Maat on his collar.

The chest is protected by a winged scarab, a personification of the reborn morning sun. On the back of the Sarcophagus, the deceased is shown twice worshiping the Djed-Pillar, a symbol of Osiris, lord of the underworld.

In spite of the size of the object and the hardness of the stone, the sculptors express all their virtuosity in the polish of surfaces and in a sophistication of detail that is typical for the 26th Dynasty.

That general question is still hard to answer, again in part because of those pesky errors. (Future quantum machines will compensate for their imperfections using a technique called quantum error correction, but that capability is still a ways off.) Is it possible to get the hoped-for runaway quantum advantage even with uncorrected errors?

Most researchers suspected the answer was no, but they couldn’t prove it for all cases. Now, in a paper posted to the preprint server arxiv.org, a team of computer scientists has taken a major step toward a comprehensive proof that error correction is necessary for a lasting quantum advantage in random circuit sampling — the bespoke problem that Google used to show quantum supremacy. They did so by developing a classical algorithm that can simulate random circuit sampling experiments when errors are present.

Nearly half of people worldwide do not get the recommended daily total water intake, a new report indicates.

Yet drinking enough water may help to delay the aging process for many.

A recent study by the National Institutes of Health (NIH) published in eBioMedicine suggests as much — though there are caveats to know.

Why the slide?

It is important to understand the reasons for the drastic changes, Walsh says. The trend might stem in part from changes in the scientific enterprise. For example, there are now many more researchers than in the 1940s, which has created a more competitive environment and raised the stakes to publish research and seek patents. That, in turn, has changed the incentives for how researchers go about their work. Large research teams, for example, have become more common, and Wang and his colleagues have found³ that big teams are more likely to produce incremental than disruptive science.

Finding an explanation for the decline won’t be easy, Walsh says. Although the proportion of disruptive research dropped significantly between 1945 and 2010, the number of highly disruptive studies has remained about the same. The rate of decline is also puzzling: CD indices fell steeply from 1945 to 1970, then more gradually from the late 1990s to 2010. “Whatever explanation you have for disruptiveness dropping off, you need to also make sense of it levelling off” in the 2000s, he says.