Aphantasia, the inability to form mental images, poses a serious challenge to an influential theory of abstract thought in ...
Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...
The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...
LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...
Objective: We evaluated the performance of a 3-layer screening method using GPT-3.5 and GPT-4 to streamline the title and abstract-screening process for systematic reviews. Our goal is to develop a ...
Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...
Abstract: FPGAs are increasingly utilized in data centers due to their ability to exploit parallelism in computationally intensive workloads. Modern workloads demand the transfer of vast amounts of ...
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