Machine Learning Researcher - Lawrence Livermore National Laboratory - Livermore, CA
Livermore, CA, United States
Communications of the ACM
August 2022
The Continual Re-Creation Of The Key-Value Datastore
08.11.2022The evolution of single machine key-value stores.
Mitigating the Base-Rate Neglect Cognitive Bias in Data Science Education
08.09.2022How can machine learning educators help learners cope with the base rate neglect cognitive bias?
Engineers Fabricate a Chip-Free, Wireless Electronic 'Skin'
08.18.2022MIT engineers have devised a wearable sensor that communicates wirelessly …
Flaw in VA's Medical Records Platform May Put Patients at Risk
08.18.2022Security researcher Zachary Minneker discovered a flaw in the U.S …
Sound Waves Let Researchers Build Stuff with the Force
08.18.2022LeviPrint system can assemble elongated objects into large structures without …
Interpretable Machine Learning: Moving from Mythos to Diagnostics
A path forward for the ML community to address a stark disconnect.
hXDP: Efficient Software Packet Processing on FPGA NICs
We present hXDP, a solution to run on FPGAs software packet processing tasks described with the eBPF technology and targeting …
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