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In the ’80s, the spy agency investigated the “Gateway Experience” technique to alter consciousness and ultimately escape spacetime. Here is everything you need to know.


She turned to me the other morning and said, “You heard of The Gateway?” It didn’t register in the moment. She continued, “It’s blowing up on TikTok.” Later on, she elaborated: It was not in fact the ill-fated ’90s computer hardware company folks were freaking out about. No, they’ve gone further back in time, to find a true treasure of functional media.

The intrigue revolves around a classified 1983 CIA report on a technique called the Gateway Experience, which is a training system designed to focus brainwave output to alter consciousness and ultimately escape the restrictions of time and space. The CIA was interested in all sorts of psychic research at the time, including the theory and applications of remote viewing, which is when someone views real events with only the power of their mind. The documents have since been declassified and are available to view.

For nearly 40 years, materials called ‘strange metals’ have flummoxed quantum physicists, defying explanation by operating outside the normal rules of electricity.

Now research led by Aavishkar Patel of the Flatiron Institute’s Center for Computational Quantum Physics (CCQ) in New York City has identified, at long last, a mechanism that explains the characteristic properties of strange metals.

In the August 18 issue of Science, Patel and his colleagues present their universal theory of why strange metals are so weird—a solution to one of the greatest unsolved problems in condensed matter physics.

Dr. Michio Kaku, the renowned theoretical physicist, walks us through the evolutionary journey of computing, from analog to digital to the quantum era.

Quantum computers hold immense promise because of their ability to tap into the weirdness of quantum mechanics. If nature allows us full access to its secrets, we could boost computing power exponentially, which in turn would allow us to solve all types of complex problems.

The National Institute of Allergy and Infectious Diseases (NIAID), one of the largest institutes in the National Institutes of Health (NIH), part of the Department of Health and Human Services (HHS), conducts and supports basic and applied research to better understand, treat, and ultimately prevent infectious, immunologic, and allergic diseases. The Bacterial Pathogenesis and Antimicrobial Resistance Unit (chief John Dekker) in the Laboratory of Clinical Immunology and Microbiology in the Division of Intramural Research (DIR) within NIAID seeks candidates for a postdoctoral fellowship position in microbial genomics.

This position will offer a unique opportunity to work at the intersection of pathogen genomics, systems biology, and clinical infectious diseases. The lab uses a variety of genomics, transcriptomics, metabolomics, imaging, and molecular approaches to study bacterial pathogens and antimicrobial resistance, with a focus on intra-host evolution in the context of infection. Access to state-of-the-art short-and long-read sequencing, metabolomics, optical, and computational resources is available. See more information about the Bacterial Pathogenesis and Antimicrobial Resistance Unit under chief John P. Dekker and an example of their recent work.

Brain-computer interfaces are devices that allow for direct communication between the brain and external devices, such as computers or prosthetics. As significant investments flow into R&D, cutting-edge companies are gearing up for human trials. These trials aim to showcase and fine-tune the potential of these interfaces to treat conditions such as Parkinson’s disease, epilepsy and depression.

While these technologies’ immediate use is for treating conditions, they also have the potential to access vast information at unprecedented speeds. As it stands today, the field not only aims to aid recovery, but also enhance existing cognitive functions. These goals introduce various ethical and… More.


Can cutting-edge technology transform the way humans learn, remember and evolve?

Trinity and IBM Dublin simulate superdiffusion on a quantum computer, marking a milestone in quantum physics.

Quantum physicists at Trinity have teamed up with IBM Dublin in an innovative project, successfully simulating superdiffusion on a quantum computer. This significant accomplishment is among the initial results of the TCD-IBM predoctoral scholarship program.


Credits: Trinity College Dublin.

TCD-IBM predoctoral scholarship program.

Scientists working in connectomics, a research field occupied with the reconstruction of neuronal networks in the brain, are aiming at completely mapping of the millions or billions of neurons found in mammalian brains. In spite of impressive advances in electron microscopy, the key bottleneck for connectomics is the amount of human labor required for the data analysis. Researchers at the Max Planck Institute for Brain Research in Frankfurt, Germany, have now developed reconstruction software that allows researchers to fly through the brain tissue at unprecedented speed. Together with the startup company scalable minds they created webKnossos, which turns researchers into brain pilots, gaining an about 10-fold speedup for data analysis in connectomics.

Billions of nerve cells are working in parallel inside our brains in order to achieve behaviours as impressive as hypothesizing, predicting, detecting, thinking. These neurons form a highly complex network, in which each nerve cell communicates with about one thousand others. Signals are sent along ultrathin cables, called axons, which are sent from each neuron to its about one thousand “followers.”

Only thanks to recent developments in , researchers can aim at mapping these networks in detail. The analysis of such image data, however, is still the key bottleneck in connectomics. Most interestingly, human annotators are still outperforming even the best computer-based analysis methods today. Scientists have to combine human and machine analysis to make sense of these huge image datasets obtained from the electron microscopes.

Another concern was the dissipation of electrical power on the Enchilada Trap, which could generate significant heat, leading to increased outgassing from surfaces, a higher risk of electrical breakdown and elevated levels of electrical field noise. To address this issue, production specialists designed new microscopic features to reduce the capacitance of certain electrodes.

“Our team is always looking ahead,” said Sandia’s Zach Meinelt, the lead integrator on the project. “We collaborate with scientists and engineers to learn about the kind of technology, features and performance improvements they will need in the coming years. We then design and fabricate traps to meet those requirements and constantly seek ways to further improve.”

Sandia National Laboratories is a multimission laboratory operated by National Technology and Engineering Solutions of Sandia LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration. Sandia Labs has major research and development responsibilities in nuclear deterrence, global security, defense, energy technologies and economic competitiveness, with main facilities in Albuquerque, New Mexico, and Livermore, California.

Graphene nanoribbons have outstanding properties that can be precisely controlled. Researchers from Empa and ETH Zurich, in collaboration with partners from Peking University, the University of Warwick and the Max Planck Institute for Polymer Research, have succeeded in attaching electrodes to individual atomically precise nanoribbons, paving the way for precise characterization of the fascinating ribbons and their possible use in quantum technology.

Quantum technology is promising, but also perplexing. In the coming decades, it is expected to provide us with various technological breakthroughs: smaller and more precise sensors, highly secure communication networks, and powerful computers that can help develop new drugs and materials, control financial markets, and predict the weather much faster than current computing technology ever could.

To achieve this, we need so-called quantum materials: substances that exhibit pronounced quantum . One such material is . This two-dimensional structural form of carbon has unusual physical properties, such as extraordinarily high tensile strength, thermal and electrical conductivity—as well as certain . Restricting the already two-dimensional material even further, for instance, by giving it a ribbon-like shape, gives rise to a range of controllable quantum effects.