Lifeboat Foundation

Ziqiang zhang*, long zhou*, chengyi wang, sanyuan chen, yu wu, shujie liu, zhuo chen, yanqing liu, huaming wang, jinyu li, lei he, sheng zhao, furu wei.

Microsoft

Abstract. We propose a cross-lingual neural codec language model, VALL-E X, for cross-lingual speech synthesis. Specifically, we extend VALL-E and train a multi-lingual conditional codec language model to predict the acoustic token sequences of the target language speech by using both the source language speech and the target language text as prompts. VALL-E X inherits strong in-context learning capabilities and can be applied for zero-shot cross-lingual text-to-speech synthesis and zero-shot speech-to-speech translation tasks. Experimental results show that it can generate high-quality speech in the target language via just one speech utterance in the source language as a prompt while preserving the unseen speaker’s voice, emotion, and acoustic environment. Moreover, VALL-E X effectively alleviates the foreign accent problems, which can be controlled by a language ID.

Researchers at Empa, ETH Zurich and the Politecnico di Milano are developing a new type of computer component that is more powerful and easier to manufacture than its predecessors. Inspired by the human brain, it is designed to process large amounts of data fast and in an energy-efficient way.

In many respects, the human brain is still superior to modern computers. Although most people can’t do math as fast as a computer, we can effortlessly process complex sensory information and learn from experiences, while a computer cannot—at least not yet. And, the brain does all this by consuming less than half as much energy as a laptop.

One of the reasons for the brain’s energy efficiency is its structure. The individual brain cells—the neurons and their connections, the synapses—can both store and process information. In computers, however, the memory is separate from the processor, and data must be transported back and forth between these two components. The speed of this transfer is limited, which can slow down the whole computer when working with large amounts of data.

Summary: As the brain ages, microglia adopt dysfunctional states that increase the risk of developing neurodegenerative diseases such as Alzheimer’s disease.

Source: TCD

Scientists from the Trinity Biomedical Sciences Institute (TBSI) have shed new light on aging processes in the brain. By linking the increased presence of specialised immune cells to conditions such as Alzheimer’s disease and traumatic brain injury for the first time, they have unearthed a possible new target for therapies aimed at treating age-related neurological diseases.

Human enhancement has long been depicted as having the potential to help but also harm humanity. Brian Greene talks with Neuroscientists Takao Hensch, John Krakauer and Entrepreneur Brett Wingeier about their experiments using brain plasticity to heal illness, improve cognitive and athletic performance. They also raise warning flags about the race to build a more perfect human.

This program is part of the Big Ideas series, supported by the John Templeton Foundation.

Continue reading “Rewiring the Brain: The Promise and Peril of Neuroplasticity” »

Elon Musk’s company Neuralink has developed a technology that can link human brains to computers, and according to Musk, it is now ready for human testing. This groundbreaking technology has the potential to revolutionize the way we communicate and interact with machines, and could pave the way for new treatments for neurological disorders. With the announcement that Neuralink is ready for human testing, the future of human-computer integration is closer than ever before.

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Reverse the aging process and live decades longer? Transfer your brain onto a database and achieve digital immortality? Humans one day may have such options.

The concept of Boltzmann Brain — a self-aware entity that emerges from random fluctuations in the fabric of reality— is intriguing. Perhaps God emerges from the evolution of a cosmic society of Boltzmann Brains?

I am referring to a generic “fabric of reality” but the concept can be formulated more precisely. For example, imagine a conscious, thinking being arising from random quantum fluctuations in the vacuum.

In the delightful “The Gravity Mine” short story, Stephen Baxter imagines the birth of a Boltzmann Brain:

Rudy Rucker says:

I’m quite happy with this resolution of the conflict between determinism and free will…

Continue reading “Computational irreducibility in Wolfram’s digital physics, and free will” »

Here’s another thing I have changed my mind on. Well, sort of. I used to make fun of “vitalism” and trade insults with my favorite archenemy Dale Carrico. Now I must repent or at least add important qualifications.

Vitalism is currently defined by Wikipedia as “the belief that living organisms are fundamentally different from non-living entities because they contain some non-physical element or are governed by different principles than are inanimate things.”

If we eliminate a few words from this definition we are left with a statement that I don’t disagree with: