Researchers have developed a brain-inspired nanoelectronic device that could significantly reduce the energy demands of artificial intelligence systems.
The DROID platform will extend current in vitro approaches—test tubes and culture dishes—to modeling learning and memory using brain organoids, addressing a critical gap: Current in vitro assays cannot capture higher-order neural responses, and evaluations of neurotoxicity or drug efficacy still primarily rely on animal behavioral tests.
The researchers will also evaluate brain organoids derived from both healthy individuals and patients with Alzheimer’s disease and individuals with SYNGAP1-related disorders—a rare pediatric condition associated with intellectual disability, seizures, and autism—to test neural responses and sensitivity to pharmacological interventions.
By enabling researchers to assess complex neural responses that currently rely on animal behavioral tests, the DROIDp system aims to improve drug discovery and neurotoxicity testing. Ultimately, the goal of this platform is to provide a more predictive, human-relevant approach for studying neurological diseases and evaluating the safety of drugs and chemicals.
Please see my latest Forbes article:
Thanks! Chuck Brooks.
“By implementing proactive cybersecurity now, we protect not only our systems and data but also the innovation, economic growth, and social stability made possible by developing technologies. The age of reactivity is over, and the age of anticipation has begun”
#cybersecurity #artificialintellligence, #ai, #tech #future #forbes
The consequences are obvious. We are already working in an AI-driven threat scenario, not getting ready for one. Organizations and countries that embrace proactive cybersecurity as a strategic necessity will be successful in this environment.
Those who demonstrate resilience, adaptability, and insight will reap the rewards in the future of AI. To maximize AI’s defensive potential while reducing its offensive risks, this changing ecosystem needs investments in workforce development, governance frameworks, predictive defenses, and cross-sector cooperation. Those that act with resilience, adaptability, and insight will be rewarded in the AI future.
An explainable AI system enables accurate, flow-aware grading of mitral and tricuspid regurgitation in routine echocardiography.
Mitral regurgitation and tricuspid regurgitation frequently coexist and are evaluated using overlapping echocardiographic views. Although artificial intelligence–based approaches have shown promise, current existing models lack explainability and physiologic constraints, limiting their reliability and adoption in real‐world echocardiographic workflows.
Roger Penrose, Sabrina Gonzalez Pasterski, and Max Tegmark discuss consciousness, quantum physics, and the possibility of a sentient superintelligent A.I.
Could ChatGPT be conscious?
With a free trial, you can watch the full debate NOW at https://iai.tv/video/cracking-the-code-for-thought?utm_sourc…ed-comment.
The idea that the brain is computational has, from the outset, been central to neuroscience. Like a computer, the brain is a problem-solving machine that stores memories and processes information. But despite the advances in AI, many challenge whether this analogy captures the essence of the mind. Computers use transistors to build elementary logic gates, enabling them to store files exactly, in 0s and 1s. They are precise and repeatable. Human brains, in contrast, are biological—the neurons do not operate as simple logic gates, but have thousands of inputs, and their output is dependent on past activity and their current internal state. Remove a computer’s processor, and it breaks. But humans can survive with only one brain hemisphere. Fundamentally, brains think, they have perception, and are conscious.
Is it a mistake to see the mind as computational? Are computers, at root, limited machines with little in common with the sophistication of living things? Or have computers and mathematics uncovered the essential character of thought—and perhaps even the cosmos itself?
#consciousness #quantum #neuroscience #quantumphysics #ai #artificialintelligence.
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“The problem is in our information. Humans, yes, we are generally good and wise, but if you give good people bad information, they make bad decisions.”
Human history is a paradox: we accumulate knowledge at astonishing speed, while remaining vulnerable to deception, superstition, and the stories that steer entire civilizations.
From the first clay tablets to today’s global media systems, the structures that carry our ideas have always shaped what societies can build, believe, and destroy. That paradox is even more important in the age of AI, says Yuval Noah Harari.
0:00 If humans are so smart, why are we on the verge of destruction?
Artificial intelligence is often discussed as a technological threat, yet the deeper challenge lies not within the machines themselves, but within the values guiding how humanity chooses to use this unprecedented form of power.
Throughout history, every major leap in automation has multiplied productivity while simultaneously concentrating influence in the hands of those who control it. The emergence of artificial intelligence represents the most powerful form of automation ever created, capable of reshaping economies, redefining work, and transforming the nature of human connection itself.
This conversation explores how AI amplifies existing human systems rather than replacing them, why questions of power, wealth, authenticity, and trust are becoming more important than technological capability, and how the future shaped by artificial intelligence will ultimately reflect human intentions rather than machine decisions.
The technology is neutral. The outcome is not.
#AI #ArtificialIntelligence #Future #Technology #MoGawdat
Researchers at Karlsruhe Institute of Technology (KIT) and École Polytechnique Fédérale de Lausanne (EPFL) present a novel component that enables very fast, economical, and reliable data transmission thanks to an advanced manufacturing technology. Their new electro-optical modulator transmits data efficiently through fiber-optic cables and can be manufactured inexpensively in large quantities on standard semiconductor wafers. This is important, as AI applications and growing data traffic are pushing data centers and fiber-optic networks to their performing limits. The researchers present their findings in Nature Communications.
Similar to modern computer chips, the modulator can be manufactured using established semiconductor processes. The researchers combine lithium tantalate —a material that guides light particularly well and serves as the heart of the modulator—with a proven chip manufacturing technique from microelectronics. To date, these two technologies have never been used together. For the first time now, they enable reliable mass production.