Lifeboat Foundation

Western intelligence agencies fear Beijing could within decades dominate all of the key emerging technologies, particularly artificial intelligence, synthetic biology and genetics.

China’s economic and military rise over the past 40 years is considered to be one of the most significant geopolitical events of recent times, alongside the 1991 fall of the Soviet Union which ended the Cold War.

MI6, depicted by novelists as the employer of some of the most memorable fictional spies from John le Carré’s George Smiley to Ian Fleming’s James Bond, operates overseas and is tasked with defending Britain and its interests.

To persist, life must reproduce. Over billions of years, organisms have evolved many ways of replicating, from budding plants to sexual animals to invading viruses.

Now scientists have discovered an entirely new form of biological reproduction—and applied their discovery to create the first-ever, self-replicating living robots.

Continue reading “Team builds first living robots that can reproduce” »

This is what we are experiencing over the next ten years in the near vertical rate of change. We are in these last stages of these changes where we can shape this future into the flowers analogy. The confluence of environmental, social, biological, physical, digital-inspired, technological, quantum-infused, cosmological, creator culture; an endless list. All significantly transforming our lives. We are in the time where creativity, innovation, intuition, imagination, inspiration, purpose, meaning can be driving us.

What we are experiencing forms my top 10 omni wishes for 2022 that will have outsized impact on our lives.

Top Ten Omni Wishes.

Continue reading “Top 10 Omni Wishes For 2022 With Exponential Impact” »

https://www.youtube.com/watch?v=lYCCjCFOQBc&feature=share

✅ Instagram: https://www.instagram.com/pro_robots.

You are on the PRO Robots channel and in this video we will talk about artificial intelligence. Repeating brain structure, mutual understanding and mutual assistance, self-learning and rethinking of biological life forms, replacing people in various jobs and cheating. What have neural networks learned lately? All new skills and superpowers of artificial intelligence-based systems in one video!

Continue reading “What can Artificial Intelligence do?” »

I continue to introduce you to a series of articles on the nature of human intelligence and the future of artificial intelligence systems. In the previous article “Artificial intelligence vs neurophysiology: Why the difference matters” we found out that the basis of the work of any biological nervous system is not a computational function (like in a computer), but a reflex or a prepared answer.

But how then did our intelligence come about? How did a biological system repeating pre-prepared reactions become a powerful creative machine?

In this article, we will answer this question in the language of facts. Creating our intelligence, nature has found a simple and at the same time ingenious solution, which is not devoid of a great mystery, which we will also touch.

Artificial neural networks are famously inspired by their biological counterparts. Yet compared to human brains, these algorithms are highly simplified, even “cartoonish.”

Can they teach us anything about how the brain works?

For a panel at the Society for Neuroscience annual meeting this month, the answer is yes. Deep learning wasn’t meant to model the brain. In fact, it contains elements that are biologically improbable, if not utterly impossible. But that’s not the point, argues the panel. By studying how deep learning algorithms perform, we can distill high-level theories for the brain’s processes—inspirations to be further tested in the lab.

sustained technological superiority, and asset security and repair for current and future operations.

To meet this unique challenge, DARPA announced it is taking an initial step to explore and de-risk manufacturing capabilities that leverage biological processes in resource limited environments with its Biomanufacturing: Survival, Utility, and Reliability beyond Earth (B-SURE) program. https://www.darpa.mil/news-events/2021-11-22

The SARS-CoV-2 gene set remains unresolved, hindering dissection of COVID-19 biology. Comparing 44 Sarbecovirus genomes provides a high-confidence protein-coding gene set. The study characterizes protein-level and nucleotide-level evolutionary constraints, and prioritizes functional mutations from the ongoing COVID-19 pandemic.

Rarely does scientific software spark such sensational headlines. “One of biology’s biggest mysteries ‘largely solved’ by AI”, declared the BBC. Forbes called it “the most important achievement in AI — ever”. The buzz over the November 2020 debut of AlphaFold2, Google DeepMind’s (AI) system for predicting the 3D structure of proteins, has only intensified since the tool was made freely available in July.

The excitement relates to the software’s potential to solve one of biology’s thorniest problems — predicting the functional, folded structure of a protein molecule from its linear amino-acid sequence, right down to the position of each atom in 3D space. The underlying physicochemical rules for how proteins form their 3D structures remain too complicated for humans to parse, so this ‘protein-folding problem’ has remained unsolved for decades.

Researchers have worked out the structures of around 160,000 proteins from all kingdoms of life. They have been using experimental techniques, such as X-ray crystallography and cryo-electron microscopy (cryo-EM), and then depositing their 3D information in the Protein Data Bank. Computational biologists have made steady gains in developing software that complements these methods, and have correctly predicted the 3D shapes of some molecules from well-studied protein families.