From the brain to the bowels, a division of labor between resident tissue lmacrophages keeps organs healthy.
Learn more in a new Science Immunology Review: #DayOfImmunology
From the brain to the bowels, a division of labor between resident tissue lmacrophages keeps organs healthy.
Learn more in a new Science Immunology Review: #DayOfImmunology
Therapists suggest in a new study that there are some intense drawbacks, on their sides and for patients, of psychedelic therapy.
A 3D-printed, bioactive hydrogel described in Science Advances promotes rats’ recovery from injuries to the muscle-tendon junction, a promising treatment option for common strain injuries.
A new kind of transistor allows AI hardware to remember and process information more like the human brain does.
By Anna Mattson
Artificial intelligence and human thought both run on electricity, but that’s about where the physical similarities end. AI’s output arises from silicon and metal circuitry; human cognition arises from a mass of living tissue. And the architectures of these systems are fundamentally different, too. Conventional computers store and compute information in distinct parts of the hardware, shuttling data back and forth between memory and microprocessor. The human brain, on the other hand, entangles memory with processing, helping to make it more efficient.
Regular mammograms to screen for breast cancer should start younger, at age 40, according to an influential U.S. task force. Women ages 40 to 74 should get screened every other year, the group said.
Previously, the task force had said women could choose to start breast cancer screening as young as 40, with a stronger recommendation that they get the exams every two years from age 50 through 74.
The announcement Tuesday from the U.S. Preventive Services Task Force makes official a draft recommendation announced last year. The recommendations were published in the Journal of the American Medical Association.
Black holes, white holes, wormholes, anti-universes, and all kinds of awesome relativity weirdness:
Einstein was wrong about black holes, what else? Use code veritasium at the link below to get an exclusive 60% off an annual Incogni plan: https://incogni.com/veritasium.
A massive thank you to Prof. Geraint F. Lewis and Prof. Juan Maldacena for their expertise and help with this video.
Is there life on…K2-18b?Professor Nikku Madhusudhan believes he has discovered alien life on an exoplanet 120 light years away from Earth. Speaking to Tom S…
Amazon has developed new robots, such as Digit and Sequoia. These robots make it easier and safer to complete monotonous tasks. Sequoia assists Amazon’s warehouses with order processing and inventory management.
ARMONK, N.Y., April 30, 2024 — Today, IBM (NYSE: IBM) has announced an agreement with RIKEN, a Japanese national research laboratory, to deploy IBM’s next-generation quantum computer architecture and best-performing quantum processor at the RIKEN Center for Computational Science in Kobe, Japan. It will be the only instance of a quantum computer co-located with the supercomputer Fugaku.
This agreement was executed as part of RIKEN’s existing project, supported by funding from the New Energy and Industrial Technology Development Organization (NEDO), an organization under Japan’s Ministry of Economy, Trade and Industry (METI)’s “Development of Integrated Utilization Technology for Quantum and Supercomputers” as part of the “Project for Research and Development of Enhanced Infrastructures for Post 5G Information and Communications Systems.” RIKEN has dedicated use of an IBM Quantum System Two architecture for the purpose of implementation of its project. Under the project RIKEN and its co-PI SoftBank Corp., with its collaborators, University of Tokyo, and Osaka University, aim to demonstrate the advantages of such hybrid computational platforms for deployment as services in the future post-5G era, based on the vision of advancing science and business in Japan.
In addition to the project, IBM will work to develop the software stack dedicated to generating and executing integrated quantum-classical workflows in a heterogeneous quantum-HPC hybrid computing environment. These new capabilities will be geared towards delivering improvements in algorithm quality and execution times.