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Scientists Have Proven It’s Possible to Bring a Dead Brain ‘Back to Life’—But There’s a Catch

When dealing with a human brain, preventing perception would require even more care. If a person’s brain inched toward consciousness under such an experiment, the consequences would be thorny, according to Hank Greely, a biomedical legal expert at Stanford University in California. “That’s very tricky ethically, legally and scientifically,” he told New Scientist.

Vrselja told the publication that he and his colleagues “have no intention of plugging anyone at the point of death into their BrainEx machine.” But what they’ve accomplished so far is a significant step toward proving that brain death may not be as final as we once thought, arousing fresh hope that patients who are hovering between life and death can still be saved.

In the meantime, the researchers have had some success in keeping brains “cellularly active for up to 24 hours” so they can test treatments for neurological conditions. They hope to help patients with diseases such as Alzheimer’s and Parkinson’s.

China considers selling TikTok U.S. operations to Musk, Bloomberg reports

The Chinese government is considering a plan that would have Elon Musk acquire TikTok’s U.S. operations to keep the app from being effectively banned, Bloomberg News reported Monday.

The contingency plan is one of several options China is exploring as the U.S. Supreme Court determines whether to uphold a law that calls for China-based ByteDance to divest TikTok’s U.S. business by Jan. 19, the report said, citing anonymous sources.

After that deadline, third-party internet service providers would be penalized for supporting TikTok’s operations in the country.

A Guide to Managing Interconnected AI Systems

Increasingly, AI systems are interconnected, which is generating new complexities and risks. Managing these ecosystems effectively requires comprehensive training, designing technological infrastructures and processes so they foster collaboration, and robust governance frameworks. Examples from healthcare, financial services, and legal profession illustrate the challenges and ways to overcome them.

Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.397802 data-title= A Guide to Managing Interconnected AI Systems data-url=/2024/12/a-guide-to-managing-interconnected-ai-systems data-topic= AI and machine learning data-authors= I. Glenn Cohen; Theodoros Evgeniou; Martin Husovec data-content-type= Digital Article data-content-image=/resources/images/article_assets/2024/12/Dec24_13_BrianRea-383x215.jpg data-summary=

The risks and complexities of these ecosystems require specific training, infrastructure, and governance.

Speed Unleashed: How a Tiny Quantum Switch Is Supercharging Data Centers

Researchers at the university of pennsylvania.

The University of Pennsylvania (Penn) is a prestigious private Ivy League research university located in Philadelphia, Pennsylvania. Founded in 1740 by Benjamin Franklin, Penn is one of the oldest universities in the United States. It is renowned for its strong emphasis on interdisciplinary education and its professional schools, including the Wharton School, one of the leading business schools globally. The university offers a wide range of undergraduate, graduate, and professional programs across various fields such as law, medicine, engineering, and arts and sciences. Penn is also known for its significant contributions to research, innovative teaching methods, and active campus life, making it a hub of academic and extracurricular activity.

False Memories Under Fire: Surprising Science Behind What We Really Recall

New research challenges the ease of implanting false memories, highlighting flaws in the influential “Lost in the Mall” study.

By reexamining the data from a previous study, researchers found that many supposed false memories might actually be based on real experiences, casting doubt on the use of such studies in legal contexts.

Reevaluating the “Lost in the Mall” Study.

Toward a Second Law for Living Systems

A new theory related to the second law of thermodynamics describes the motion of active biological systems ranging from migrating cells to traveling birds.

In 1944, Erwin Schrödinger published the book What is life? [1]. Therein, he reasoned about the origin of living systems by using methods of statistical physics. He argued that organisms form ordered states far from thermal equilibrium by minimizing their own disorder. In physical terms, disorder corresponds to positive entropy. Schrödinger thus concluded: “What an organism feeds upon is negative entropy […] freeing itself from all the entropy it cannot help producing while alive.” This statement poses the question of whether the second law of thermodynamics is valid for living systems. Now Benjamin Sorkin at Tel Aviv University, Israel, and colleagues have considered the problem of entropy production in living systems by putting forward a generalization of the second law [2].

Legal News, Analysis, & Commentary

Researchers at the University of Cincinnati College of Medicine and Cincinnati Children’s Hospital have developed a new approach, which combines advanced screening techniques with computational modeling, to significantly shorten the drug discovery process. It has the potential to transform the pharmaceutical industry.

The research, published recently in Science Advances, represents a significant leap forward in drug discovery efficiency. It was featured on LegalReader.com.

https://www.uc.edu/news/articles/2024/09/uc-college-of-medic…aster.html


Legal Reader seeks to provide the latest legal news & commentary on the laws that shape our world.

Ben Goertzel: AGI, SingularityNET and Decentralized AI

This episode is sponsored by Legal Zoom.

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In this episode of the Eye on AI podcast, we dive into the world of Artificial General Intelligence (AGI) with Ben Goertzel, CEO of SingularityNET and a leading pioneer in AGI development.

Ben shares his vision for building machines that go beyond task-specific capabilities to achieve true, human-like intelligence. He explores how AGI could reshape society, from revolutionizing industries to redefining creativity, learning, and autonomous decision-making.

Throughout the conversation, Ben discusses his unique approach to AGI, which combines decentralized AI systems and blockchain technology to create open, scalable, and ethically aligned AI networks. He explains how his work with SingularityNET aims to democratize AI, making AGI development transparent and accessible while mitigating risks associated with centralized control.

Ben also delves into the philosophical and ethical questions surrounding AGI, offering insights into consciousness, the role of empathy, and the potential for building machines that not only think but also align with humanity’s best values. He shares his thoughts on how decentralized AGI can avoid the narrow, profit-driven goals of traditional AI and instead evolve in ways that benefit society as a whole.

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