Mimicking high-level abstraction of the brain to achieve energy advantages is a fundamental issue in neuromorphic computing. Here, the authors fabricate an asynchronous chip and demonstrate a high-accuracy neuromorphic system with power consumption of 0.7mW.
Astronomers have possibly found evidence that dark energy — associated with accelerating the expansion of our universe — could also be related with the mysterious black holes.
About 70% of our universe roughly comprises of dark energy and is believed to have born after the Big Bang, around 13.8 billion years ago, though the origin of the force remains unclear, according to LiveScience.
Recently, some astronomers proposed a theory that dark energy could have emerged from the core of gigantic dark abyss called the black holes while others disagreed with the theory.
While scientists know there’s water on the Moon, its exact locations and forms remain largely unknown. A trailblazing NASA mission will get some answers.
NASA’s Lunar Trailblazer mission, designed to map and study water on the Moon, will employ innovative instruments to explore surface water dynamics and support future lunar colonies by providing vital data on potential water sources that could be converted into oxygen or fuel.
Unveiling lunar mysteries: nasa’s trailblazer mission.
Bioengineers propose “electro-agriculture,” a method that replaces photosynthesis with a solar-powered reaction converting CO2 into acetate, potentially reducing U.S. agricultural land needs by 94% and supporting controlled indoor farming.
Initial experiments focus on genetically modified acetate-consuming plants like tomatoes and lettuce, with potential future applications in space agriculture.
Revolutionary Electro-Agriculture
With just an iPad, students in any classroom across the world could soon reimagine the ordinary diagrams in any physics textbook—transforming these static images into 3D simulations that run, leap or spin across the page.
Summary: A new method developed by researchers allows scientists to identify unique, redundant, and synergistic causality, providing a clearer view of what influences complex systems. Known as SURD, this method has implications across diverse fields, from climate science to aerospace engineering.
Traditional methods often confuse variables that are not true causes, but SURD accurately decomposes causality, minimizing errors. This tool has the potential to aid in the design of optimized systems by pinpointing causative factors more precisely.
The researchers demonstrated SURD’s utility by examining turbulence, revealing previously hidden interactions between airflow variables. Their work highlights the benefits of SURD for more accurate causal analysis in complex fields.
Explore how University of Washington research on activating hypothalamic brain cells could unlock new anti-aging therapies and extend lifespan.
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A new type of ultrafast memory uses optical signals and magnets to efficiently process and store data.
