Using electromagnetic fields or implanted medical devices to stimulate the brain can have benefits, but also carries risks. Computer simulations that reflect the unique complexity of each patient can help predict and solve problems before they arise.
Regenerating damaged tissues or organs has been a dream of scientists for decades. Now, researchers at the FMI and Novartis Biomedical Research have discovered a new molecule that activates a protein involved in regeneration. The tool holds promise for advancing our understanding of how organisms repair damaged tissue.
People with advanced neuroendocrine tumors in the digestive system may benefit from a treatment combination that includes the drug Lu 177-dotatate (Lutathera), according to the results of a first-of-its-kind clinical trial.
All participants in the trial, called NETTER-2, had advanced neuroendocrine tumors in the gastrointestinal tract or pancreas that had not yet been treated.
Those who received Lu 177-dotatate plus octreotide (Sandostatin) lived almost three times as long without their cancer getting worse (progression-free survival) as those who received octreotide alone—a median of nearly 23 months, versus 8.5 months. And the number of people whose tumors shrank, sometimes completely, was nearly five times greater in those who received both drugs compared to those who only received octreotide.
The Facebook founder is letting other hardware-makers use his company’s virtual reality operating system.
PRESS RELEASE — Toshiba Europe Ltd. and Single Quantum B.V. have collaborated to test and validate long-distance deployments of Quantum Key Distribution (QKD) technology. Following extended validation testing of Toshiba’s QKD technology and Single Quantum’s superconducting nanowire single photon detectors (SNSPDs), both companies are pleased to announce a solution that substantially extends the transmission range for QKD deployment over fibre connections, up to and beyond 300km.
QKD uses the quantum properties of light to generate quantum secure keys that are immune to decryption by both high performance conventional and quantum computers. Toshiba’s QKD is deployed over fibre networks, either coexisting with conventional data transmissions on deployed ‘lit’ fibres, or on dedicated quantum fibres.
Toshiba’s unique QKD technology can deliver quantum secure keys in a single fibre optic link at distances of up to 150km using standard integrated semiconductor devices. Achieving longer distance QKD fibre transmission is challenging due to the attenuation of the quantum signals along the fibre length, (the optical loss of the fibre link). To provide extended QKD transmission, operators typically concatenate fibre links together with trusted nodes along the fibre route which house QKD systems that relay the secret keys.
Successful implementation of GenAI hinges on three main factors: financial value to the organization, availability of key data and impact on the workforce.
Scientists could one day find traces of life on Enceladus, an ocean-covered moon orbiting Saturn.
Computers work in digits — 0s and 1s to be exact. Their calculations are digital; their processes are digital; even their memories are digital. All of which requires extraordinary power resources. As we look to the next evolution of computing and developing neuromorphic or “brain-like” computing, those power requirements are unfeasible.
To advance neuromorphic computing, some researchers are looking at analog improvements. In other words, not just advancing software, but advancing hardware too. Research from the University of California San Diego and UC Riverside shows a promising new way to store and transmit information using disordered superconducting loops.
The team’s research, which appears in the Proceedings of the National Academy of Sciences, offers the ability of superconducting loops to demonstrate associative memory, which, in humans, allows the brain to remember the relationship between two unrelated items.
Researchers at Quebec AI Institute (Mila) have released, a technique that can turn any decoder-only LLM into a universal embedding model.
