A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
Interesting Engineering on MSN
Smart chip could slash computing energy use by up to 5,000×
The new analogue in-memory chip performs computation inside memory, lowering power consumption and latency for AI and data-center workloads.
Tech Xplore on MSN
New smart chip reduces consumption and computing time, advancing high-performance computing
A new chip aims to dramatically reduce energy consumption while accelerating the processing of large amounts of data.
Dramatically reducing energy consumption while accelerating the processing of large amounts of data. This is the aim of the ...
Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Those that lean into AI will need to balance small form factor, real-time responses and operation time, often tied to battery ...
BiCS8 ramp, HBF innovation and datacenter demand drive pricing, growth and upside. Click for more on SNDK stock.
How-To Geek on MSN
Stop crashing your Python scripts: How Zarr handles massive arrays
Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.
Cadence introduces first LPDDR5X memory IP system solution tailored for enterprise and data centre environments.
Lawrence Livermore National Laboratory computer scientist Peter Lindstrom received the 2025 IEEE VIS Test of Time Award for ...
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