Toggle light / dark theme

Humanity has left its mark on the Earth, from cities of steel to mountains of styrofoam. The latter is proving to be a problem, as many of the synthetic materials we produce don’t degrade in anything approaching a human timescale. Scientists have long sought to develop better plastic recycling methods, and the answer might be crawling around in the wild. Researchers from the University of Queensland in Australia say that a beetle larvae (it looks like a worm in larval form) may hold the key to eliminating polystyrene from the environment.

Styrofoam, technically known as polystyrene, is one of the most common types of plastic, accounting for 7–10 percent of all the non-fibrous plastics produced. You probably encounter it frequently in packing materials where the material’s foam conformation is adept at absorbing impacts. The solid version of polystyrene can be used to make transparent containers, disposable utensils, and more. However, polystyrene carries a recycling ID of 6, meaning it’s difficult to process and is not accepted at most curbside pickups.

Scientists have long searched for microbes or insect enzymes that could help break down durable plastics like polystyrene, and a beetle known as Zophobas morio might have it. It’s a species of darkling beetle, and the larval form is more commonly known as a superworm. They look like larger mealworms and are often used as a food source for insectivorous animals. In addition to being a high-protein, low-carb snack, this creature’s gut carries a unique mixture of bacterial enzymes that can digest polystyrene. The researchers reported that darkling beetle larva can subsist entirely on a diet of polystyrene — they can even grow while eating a pile of plastic.

Scientists have shed new light on the timing and likely cause of major volcanic events that occurred millions of years ago and caused such climatic and biological upheaval that they drove some of the most devastating extinction events in Earth’s history.

Surprisingly, the new research, published today in Science Advances, suggests a slowing of continental plate movement was the critical event that enabled magma to rise to the Earth’s surface and deliver the devastating knock-on impacts.

Earth’s history has been marked by major volcanic events, called large igneous provinces (LIPs)—the largest of which have caused major increases in atmospheric carbon emissions that warmed Earth’s climate, drove unprecedented changes to ecosystems, and resulted in mass extinctions on land and in the oceans.

In this video I discuss 5 Types of Compute which can replace our traditional Computers in the Future.

Watch Next:
➞ Analog Compute: https://youtu.be/f4A85foHPZY
➞ Biological Compute: https://youtu.be/FuzoLdrRX5Q
➞ Compute with Light: https://youtu.be/mt8I71VUazw.
➞ Quantum Computers: https://youtu.be/j9eYQ_ggqJk.
➞ RF compute paper: https://www.researchgate.net/publication/345970494_Radio-Fre…c_Synapses.

➞ Support me on Patreon: https://www.patreon.com/AnastasiInTech.
➞ Subscribe to my Newsletter: https://anastasiintech.substack.com

This lecture was recorded on February 3, 2003 as part of the Distinguished Science Lecture Series hosted by Michael Shermer and presented by The Skeptics Society in California (1992–2015).

Can there be freedom and free will in a deterministic world? Renowned philosopher and public intellectual, Dr. Dennett, drawing on evolutionary biology, cognitive neuroscience, economics and philosophy, demonstrates that free will exists in a deterministic world for humans only, and that this gives us morality, meaning, and moral culpability. Weaving a richly detailed narrative, Dennett explains in a series of strikingly original arguments that far from being an enemy of traditional explorations of freedom, morality, and meaning, the evolutionary perspective can be an indispensable ally. In Freedom Evolves, Dennett seeks to place ethics on the foundation it deserves: a realistic, naturalistic, potentially unified vision of our place in nature.

Dr. Daniel Dennett — Freedom Evolves: Free Will, Determinism, and Evolution

Watch some of the past lectures for free online.
https://www.skeptic.com/lectures/

SUPPORT THE SOCIETY

You play a vital part in our commitment to promote science and reason. If you enjoy watching the Distinguished Science Lecture Series, please show your support by making a donation, or by becoming a patron. Your ongoing patronage will help ensure that sound scientific viewpoints are heard around the world.

00:00 Intro.
01:12 Elon Musk on psychedelics/ MDMA
01:58 Tim Urban on brain-machine interfaces.
02:46 Domino’s mind ordering app.
04:48 Elon tweet: digital vs biological.
05:47 Head Neurosurgeon, Dr. Matthew MacDougall.
08:02 Shivon Zilis & Elon Musk twins!!
09:05 Neuralink founder, Paul Merolla departs.
11:17 https://neuralink.com/careers/
11:35 DeepMind Documentary: https://youtu.be/kFlLzFuslfQ

Patreon: https://www.patreon.com/neurapod/

Neura Pod is a series covering topics related to Neuralink, Inc. Topics such as brain-machine interfaces, brain injuries, and artificial intelligence will be explored. Host Ryan Tanaka synthesizes informationopinions, and conducts interviews to easily learn about Neuralink and its future.

Please consider supporting by joining the channel above, or sharing my other company website with retirees: https://www.reterns.com/. Opinions are my own. Neura Pod receives no compensation from Neuralink and has no affiliation to the company.

Scripted/ voiced by: Ryan Tanaka.
Edited by: Omar Olivares.

#Neuralink #ElonMusk #Tesla

This video covers the world in 3,000 and its future technologies. Watch this next video about the world in 10,000 A.D.: bit.ly/373KvDr.
► Support This Channel: https://www.patreon.com/futurebusinesstech.
► Udacity: Up To 75% Off All Courses (Biggest Discount Ever): https://bit.ly/3j9pIRZ
► Brilliant: Learn Science And Math Interactively (20% Off): https://bit.ly/3HAznLL
► Jasper AI: Write 5x Faster With Artificial Intelligence: https://bit.ly/3MIPSYp.

SOURCES:
https://www.futuretimeline.net.
• The Future of Humanity (Michio Kaku): https://amzn.to/3Gz8ffA
• The Singularity Is Near: When Humans Transcend Biology (Ray Kurzweil): https://amzn.to/3ftOhXI
• Physics of the Future (Michio Kaku): https://amzn.to/33NP7f7

Patreon Page: https://www.patreon.com/futurebusinesstech.
Official Discord Server: https://discord.gg/R8cYEWpCzK

💡 On this channel, I explain the following concepts:
• Future and emerging technologies.
• Future and emerging trends related to technology.
• The connection between Science Fiction concepts and reality.

SUBSCRIBE: https://bit.ly/3geLDGO

Disclaimer:

Highlights and Key Developments of the Current Study

In this study, the researchers used the biological synthesis approach to analyze Sargassum polycystum aquatic extract to produce silver seaweed nanoparticles. Various spectroscopic methods, including absorption spectrophotometer (UV-VIS), scanning electron Microscope (SEM), and Fourier transforms infrared spectroscopy (FTIR), were applied to characterize the silver seaweed nanoparticles.

The antibacterial effects of seaweed nanoparticles against several microbial infections, including tuberculosis, were investigated. Zebrafish larvae were used to test the toxicity of the produced silver seaweed nanoparticles.

According to a University of Portsmouth study, a new physics law could allow for the early prediction of genetic mutations.

The study discovers that the second law of information dynamics, or “infodynamics,” behaves differently from the second law of thermodynamics. This finding might have major implications for how genomic research, evolutionary biology, computing, big data, physics, and cosmology develop in the future.

Lead author Dr. Melvin Vopson is from the University’s School of Mathematics and Physics. He states “In physics, there are laws that govern everything that happens in the universe, for example how objects move, how energy flows, and so on. Everything is based on the laws of physics. One of the most powerful laws is the second law of thermodynamics, which establishes that entropy – a measure of disorder in an isolated system – can only increase or stay the same, but it will never decrease.”

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.

Assessing emerging risks and opportunities in machine cognition.

With AI Experts Ben Goertzel, Marcus Hutter, Peter Cheeseman and Joscha Bach.

Event Focus:
Given significant developments in Artificial Intelligence, it’s worth asking: What aspects of ideal AI have not been achieved yet?
There is good reason for the growing media storm around AI — many experts agree on the big picture that with the development of Superintelligent AI (including Artificial General Intelligence) humanity will face great challenges (some polls suggest that AGI is not far). Though in order to best manage both the opportunities and risks we need to achieve a clearer picture — this requires sensitivity to ambiguity, precision of expression and attention to theoretical detail in understanding the implications of AI, communicating/discussing AI, and ultimately engineering beneficial AI.

Meetup details: https://www.meetup.com/Science-Technology-and-the-Future/events/242163071/