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In 2022, PhD student Austin Carter, who worked with the Center for Old Ice Exploration (COLDEX), dropped a camera in a 305-foot hole beneath Antarctica at the Allan Hills Blue Ice Area.
He then posted the results on TikTok.
A team of researchers from the University of Ottawa has developed innovative methods to enhance frequency conversion of terahertz (THz) waves in graphene-based structures, unlocking new potential for faster, more efficient technologies in wireless communication and signal processing.
THz waves, located in the far-infrared region of the electromagnetic spectrum, can be used to perform non-invasive imaging through opaque materials for security and quality control applications. Additionally, these waves hold great promise for wireless communication.
Advances in THz nonlinear optics, which can be used to change the frequency of electromagnetic waves, are essential for the development of high-speed wireless communication and signal processing systems for 6G technologies and beyond.
Unlike traditional RLHFs, which only provide feedback after an assessment has been completed, pBCIs capture implicit, real-time information about the user’s cognitive and emotional state throughout the interaction. This allows the AI to access more comprehensive, multidimensional feedback, including intermediate decisions, judgments and thought processes. By observing brain activity when assessing situations, pBCIs provide a more comprehensive understanding of user needs and enable the AI to adapt more effectively and proactively.
By combining RLHF with pBCIs, we can elevate AI alignment to a new level—capturing richer, more meaningful information that enhances AI’s responsiveness, adaptability and effectiveness. This combination, called neuroadaptive RLHF, retains the standard RLHF approach but adds more detailed feedback through pBCIs in an implicit and unobtrusive way. Neuroadaptive RLHF allows us to create AI models that better understand and support the user, saving time and resources while providing a seamless experience.
The integration of RLHF with pBCIs presents both opportunities and challenges. Among the most pressing concerns are privacy and ethics, as pBCIs capture sensitive neural data. Ensuring proper consent, secure storage and ethical use of this data is critical to avoid misuse or breaches of trust.
A study could help explain what happens to the human brain when you die, and the findings were surprising.
Quantum computing researchers at Northwestern University report a new take on quantum compilers helped improve the efficiency and reliability of “chiplet-based” modular quantum computers.
Although it sounds like something that might be in a bag next to the pretzels at your next party, chiplets are, in fact, an intriguing approach to building quantum computers. As we’ll discover later, they are small, modular pieces of a computer processor that are designed to function as a building block for creating larger, more complex chips.
In a recent study posted on arXiv, a team of Northwestern University researchers report their Stratify-Elaborate Quantum Compiler (SEQC) boosts circuit fidelity by up to 36% and speeds up compilation by 2 to 4 times compared to existing tools, addressing critical scalability challenges in this emerging era of chiplet-based quantum systems.
The research analyzed 14 large-scale studies to identify potential drug repurposing candidates to help reduce the incidence of dementia.
How do we bridge the gap between the objective world of physics and the subjective realm of experience? QM might hold the answer.
The ability to regulate one’s own food intake is essential to the survival of both humans and other animals. This innate ability ensures that the body receives the nutrients it needs to perform daily activities, without significantly exceeding calorie intake, which could lead to health problems and metabolic disorders.
Past neuroscience studies suggest that the regulation of food intake is supported by specific regions in the brain, including the hypothalamus and caudal nucleus of the solitary tract (cNTS), which is part of the brainstem. This key region in the brainstem is known to integrate sensory signals originating from the gut and then transform them into adaptive feeding behaviors.
While previous research has highlighted the key role of the cNTS in food intake regulation, the unique contribution of the different neuron subtypes within this brainstem region and the mechanisms by which they regulate feeding remain poorly understood. Better understanding these neuron-specific mechanisms could help to devise more effective therapeutic interventions for obesity and eating disorders.
Past research suggests that meditation and exposure to art or nature can positively impact people’s well-being and brain health, in some cases even reducing stress and supporting the processing of emotions. Yet most past studies focused on each of these experiences individually, rather than comparing their effects on brain activity.
Researchers at University of California Los Angeles set out to examine the brain activation patterns associated with a visualization-based transcendental meditation of connecting to the cosmic soul and compare them to those from people watching evocative digital art or nature videos.
Their findings, published in Frontiers in Human Neuroscience, suggest that these different types of transcending experiences prompt different brain activation patterns.