A new paper published in PLOS One shows that mushrooms can act as the "memristors" required for many next-gen computing applications. Memristors could offer enormous speed boosts over traditional ...
The Transformer architecture, while powerful, scales quadratically with sequence length (O(N²)), creating a bottleneck for long-context tasks. We propose the Gated Associative Memory (GAM) network, a ...
Artificial intelligence computing startup D-Matrix Corp. said today it has developed a new implementation of 3D dynamic random-access memory technology that promises to accelerate inference workloads ...
With the particular needs of scientists and engineers in mind, researchers at the Department of Energy's Pacific Northwest National Laboratory have co-designed with Micron a new hardware-software ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
NDSM Lusthof / Studio Ossidiana. Image Courtesy of Studio Ossidiana, Riccardo de Vecchi Traditionally, architecture has been seen as an agent of ecological disruption — constructing over wetlands, ...
A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...
The human brain contains about 86 billion neurons. These cells fire electrical signals that help the brain store memories and send information and commands throughout the brain and the nervous system.
Towards an Architecture of Many Intelligences: How Collective Knowledge Shapes the Built Environment
As architecture navigates a rapidly changing world shaped by ecological urgency, social transformation, and technological acceleration, the notion of intelligence is shifting. No longer confined to ...
ABSTRACT: Breast cancer remains one of the most prevalent diseases that affect women worldwide. Making an early and accurate diagnosis is essential for effective treatment. Machine learning (ML) ...
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