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Computers normally can’t see optical illusions — but a scientist combined AI with quantum mechanics to make it happen

The AI system is dubbed a “quantum-tunneling deep neural network” and combines neural networks with quantum tunneling. A deep neural network is a collection of machine learning algorithms inspired by the structure and function of the brain — with multiple layers of nodes between the input and output. It can model complex non-linear relationships and, unlike conventional neural networks (which include a single layer between input and output) deep neural networks include many hidden layers.

Quantum tunneling, meanwhile, occurs when a subatomic particle, such as an electron or photon (particle of light), effectively passes through an impenetrable barrier. Because a subatomic particle like light can also behave as a wave — when it is not directly observed it is not in any fixed location — it has a small but finite probability of being on the other side of the barrier. When sufficient subatomic particles are present, some will “tunnel” through the barrier.

After the data representing the optical illusion passes through the quantum tunneling stage, the slightly altered image is processed by a deep neural network.

Healthspan Research Review

One prevailing hypothesis is that physical fitness mitigates structural brain changes that contribute to cognitive decline. Recent evidence points to a potential role involving myelin —the insulating sheath surrounding neurons that is crucial for efficient neural signaling and overall cognitive health. Myelination facilitates rapid signal transmission and supports neural network integrity.

The degeneration of myelin in the brain is increasingly recognized as a critical factor contributing to disruptions in neural communication, which may play a significant role in the cognitive decline observed in Alzheimer’s disease and other neurodegenerative disorders. Emerging research suggests that myelin breakdown may even precede the formation of amyloid-beta plaques and neurofibrillary tangles—the hallmark pathological features of Alzheimer’s disease. Advanced imaging studies have detected early myelin degeneration in individuals who later develop Alzheimer’s, indicating that myelin damage could be an initial event in the disease’s progression.

Age-related deterioration of myelin is closely associated with cognitive decline. Reduced white matter integrity—often resulting from myelin damage—is correlated with declines in memory, executive function, and processing speed in older adults. As myelin degradation leads to the slowing of cognitive processes and disrupts the synchronization of neural networks, preserving myelin integrity is essential for sustaining cognitive health across the lifespan.

Logicure™ (@logicure) • Instagram reel

27K likes, — logicure on October 3, 2024: Ballie is a soccer ball-sized, yellow, spherical AI-powered robot created by Samsung Electronics that can navigate homes and perform tasks such as controlling smart home devices, projecting images, and communicating with users.

Ballie was first introduced at CES 2020 and an upgraded version was unveiled at CES 2024.

Follow @logicure for more amazing content.

Transformative Power: Artificial Intelligence Reshapes Global Society

By Chuck Brooks, Skytop Contributor / October 25, 2024

Chuck Brooks serves as President and Consultant of Brooks Consulting International. Chuck also serves as an Adjunct Professor at Georgetown University in the Cyber Risk Management Program, where he teaches graduate courses on risk management, homeland security, and cybersecurity.

Chuck has received numerous global accolades for his work and promotion of cybersecurity. Recently, he was named the top cybersecurity expert to follow on social media, and also as one top cybersecurity leaders for 2024. He has also been named “Cybersecurity Person of the Year” by Cyber Express, Cybersecurity Marketer of the Year, and a “Top 5 Tech Person to Follow” by LinkedIn” where he has 120,000 followers on his profile.

As a thought leader, blogger, and event speaker, he has briefed the G20 on energy cybersecurity, The US Embassy to the Holy See, and the Vatican on global cybersecurity cooperation. He has served on two National Academy of Science Advisory groups, including one on digitalizing the USAF, and another on securing BioTech. He has also addressed USTRANSCOM on cybersecurity and serves on an industry/government Working group for DHS CISA focused on security space systems.

Researchers flip genes on and off with AI-designed DNA switches

Researchers at The Jackson Laboratory (JAX), the Broad Institute of MIT and Harvard, and Yale University, have used artificial intelligence to design thousands of new DNA switches that can precisely control the expression of a gene in different cell types. Their new approach opens the possibility of controlling when and where genes are expressed in the body, for the benefit of human health and medical research, in ways never before possible.

“What is special about these synthetically designed elements is that they show remarkable specificity to the target cell type they were designed for,” said Ryan Tewhey, PhD, an associate professor at The Jackson Laboratory and co-senior author of the work. “This creates the opportunity for us to turn the expression of a gene up or down in just one tissue without affecting the rest of the body.”

In recent years, genetic editing technologies and other gene therapy approaches have given scientists the ability to alter the genes inside living cells. However, affecting genes only in selected cell types or tissues, rather than across an entire organism, has been difficult. That is in part because of the ongoing challenge of understanding the DNA switches, called cis-regulatory elements (CREs), that control the expression and repression of genes.

How ChatGPT scanned 170k lines of code in seconds, saving me hours of work

In conclusion, don’t accept what the AI tells you as absolute truth. Don’t make critical decisions based on its answers. And remember that you sometimes have to negotiate with the AI before it’s willing to give you helpful answers.

This test is yet another case where I’ve been able to turn to the AI and find an answer for a very me-specific question without coding in minutes.

If you have a question that requires a lot of text or numerical analysis, consider running it by ChatGPT or one of the other AIs. You might get a useful answer in minutes.

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