Uncertainty Quantification Postdoctoral 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?
Self-Taught AI Shows Similarities to How the Brain Works
08.11.2022Self-supervised learning allows a neural network to figure out for …
Team Develops Approach for Building Quantum Computers
08.11.2022An interdisciplinary team has developed a method for building quantum …
Mathematical Modeling Could Lead to Simple Blood Test for Brain Tumors
08.11.2022New mathematical models can assess the use of biomarkers for …
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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