Toggle light / dark theme

Quantum computers, technologies that perform computations leveraging quantum mechanical phenomena, could eventually outperform classical computers on many complex computational and optimization problems. While some quantum computers have attained remarkable results on some tasks, their advantage over classical computers is yet to be conclusively and consistently demonstrated.

Ramis Movassagh, a researcher at Google Quantum AI, who was formerly at IBM Quantum, recently carried out a theoretical study aimed at mathematically demonstrating the notable advantages of quantum computers. His paper, published in Nature Physics, mathematically shows that simulating random quantum circuits and estimating their outputs is so-called #P-hard for classical computers (i.e., meaning that is highly difficult).

“A key question in the field of quantum computation is: Are quantum computers exponentially more powerful than classical ones?” Ramis Movassagh, who carried out the study, told Phys.org. “Quantum supremacy conjecture (which we renamed to Quantum Primacy conjecture) says yes. However, mathematically it’s been a major open problem to establish rigorously.”

Diagonal Arguments are a powerful tool in maths, and appear in several different fundamental results, like Cantor’s original Diagonal argument proof (there exist uncountable sets, or “some infinities are bigger than other infinities”), Turing’s Halting Problem, Gödel’s incompleteness theorems, Russell’s Paradox, the Liar Paradox, and even the Y Combinator.

In this video, I try and motivate what a general diagonal argument looks like, from first principles. It should be accessible to anyone who’s comfortable with functions and sets.

The main result that I’m secretly building up towards is Lawvere’s theorem in Category Theory.
[https://link.springer.com/chapter/10.1007/BFb0080769]
with inspiration from this motivating paper by Yanofsky.
[https://www.jstor.org/stable/3109884].

This video will be followed by a more detailed video on just Gödel’s incompleteness theorems, building on the idea from this video.

AAV development for cell and gene therapy in 2023 is being impacted by manufacturing and regulation challenges, however advancing technologies offer opportunity, according to leaders in the field.

As proven by recent regulatory approvals sweeping the cell and gene therapy industry, particularly within Europe and the US, these pioneering treatments have demonstrated great capacity in helping to resolve hard-to-treat diseases.

The adoption of artificial intelligence (AI) and generative AI, such as ChatGPT, is becoming increasingly widespread. The impact of generative AI is predicted to be significant, offering efficiency and productivity enhancements across industries. However, as we enter a new phase in the technology’s lifecycle, it’s crucial to understand its limitations before fully integrating it into corporate tech stacks.

Large language model (LLM) generative AI, a powerful tool for content creation, holds transformative potential. But beneath its capabilities lies a critical concern: the potential biases ingrained within these AI systems. Addressing these biases is paramount to the responsible and equitable implementation of LLM-based technologies.

Prudent utilization of LLM generative AI demands an understanding of potential biases. Here are several biases that can emerge during the training and deployment of generative AI systems.

Lack of skills and training is a big issue. Some employees may simply not have the necessary skills or training to perform their tasks effectively. Investing in employee development can improve performance and solve lots of heartaches. Let us share Jenny’s story: Why Jenny’s Promotion Changed the Way We View Training: A Dive into Neuroscience “Guess who got the promotion?” Jenny burst in one Monday morning, her face beaming with a mix of surprise and elation. Most of us knew Jenny from her early days—an employee with lots of enthusiasm but, frankly, a bit lost in the intricacies of the industry.

Recently, we spoke to Shai Efrati MD, Chair of Aviv Clinics’ Medical Advisory Board and Founder and Director of the world-leading Sagol Center for Hyperbaric Medicine and Research, about the longevity and healthspan benefits of hyperbaric oxygen therapy (HBOT). The Aviv Medical Program is designed for individuals experiencing cognitive and physical decline because of a variety of conditions, including stroke, post-COVID and age-related cognitive decline, Aviv also has an increasing number of clients who wish to improve their cognitive and physical performance and increase their healthspan.

One of Aviv’s patients is Patti Finnegan, a senior living in The Villages in Florida, and we sat down with her to find out what HBOT entails for the patient.

Longevity. Technology: At Longevity. Technology, we often cover therapies and treatments that have been developed or launched, discussing the science behind them and the possible results for the patient. What is less common, however, is to hear from the patients themselves – how did they find the experience and has it made a difference? What starts in a test tube or a white board ends up in a person, so it is important to retain a focus on the end user; after all, while patient population data is important, improving outcomes for actual people is the key goal behind longevity science – real people living longer, healthier lives.

Join us on Patreon! https://www.patreon.com/MichaelLustgartenPhD

Discount Links:
Oral Microbiome: https://www.bristlehealth.com/?ref=michaellustgarten.
Enter Code: ConquerAging.

At-Home Metabolomics: https://www.iollo.com?ref=michael-lustgarten.
Use Code: CONQUERAGING At Checkout.

NAD+ Quantification: https://www.jinfiniti.com/intracellular-nad-test/