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Summary: Researchers have developed a new method to profile gene activity in the living human brain, offering new insights into neurological conditions like epilepsy. By analyzing RNA and DNA collected from electrodes implanted in patients’ brains, the study linked molecular data with electrical recordings of seizures, creating a detailed snapshot of gene activity.

This approach enhances understanding of seizure networks, potentially improving the precision of epilepsy surgeries for patients who don’t respond to medication. Beyond epilepsy, the method could have applications in studying Alzheimer’s, Parkinson’s, and schizophrenia, advancing knowledge of brain disorders at the molecular level.

Ed Boyden is a professor at the MIT Media Lab working on the most advanced brain-computer interfacing technology currently available, optogenetics. At Singularity Summit 2009.

This is the first symposium of Xapiens at MIT — “The Future of Homo Sapiens”

The future of our species will be majorly influenced by the technical advancements and ethical paradigm shifts over the next several decades. Artificial intelligence, neural enhancement, gene editing, solutions for aging and interplanetary travel, and other emerging technologies are bringing sci-fi’s greatest ideas to reality.

Sponsored by the MIT media lab and the MIT mcgovern institute of brain research.

Full Agenda:

https://scirate.com/arxiv/2411.

Researchers present a #quantummachinelearning advantage of families of constant depth local quantum circuits over reasonably constrained log-log-depth classical circuits.

Quantum…


One of the core challenges of research in quantum computing is concerned with the question whether quantum advantages can be found for near-term quantum circuits that have implications for practical applications. Motivated by this mindset, in this work, we prove an unconditional quantum advantage in the probably approximately correct (PAC) distribution learning framework with shallow quantum circuit hypotheses. We identify a meaningful generative distribution learning problem where constant-depth quantum circuits using one and two qubit gates (QNC^0) are superior compared to constant-depth bounded fan-in classical circuits (NC^0) as a choice for hypothesis classes. We hence prove a PAC distribution learning separation for shallow quantum circuits over shallow classical circuits. We do so by building on recent results by Bene Watts and Parham on unconditional quantum advantages for sampling tasks with shallow circuits, which we technically uplift to a hyperplane learning problem, identifying non-local correlations as the origin of the quantum advantage.

Submitted 23 Nov 2024 to Quantum Physics [quant-ph]

A new study describes an exciting discovery that changes the way we understand human bitter taste receptors. The research has revealed a hidden “pocket” inside one of the body’s bitter taste receptors, called TAS2R14.

This breakthrough could help not only understand how our tongue senses bitterness but also investigate the physiological roles of bitter taste receptors that are expressed extraorally. The work is published in Nature Communications, and was led by Prof. Masha Niv from the Hebrew University of Jerusalem, Dr. Moran Shalev-Benami from the Weizmann Institute, and Dr. Dorothee Weikert from FAU Erlangen.

There are many chemically different molecules that trigger bitter taste sensations, and the body uses a family of 25 receptors to detect them. Interestingly, many drugs also activate this bitter taste system.