Adam Michaleas
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View article: Large language models for closed-library multi-document query, test generation, and evaluation
Large language models for closed-library multi-document query, test generation, and evaluation Open
Introduction Learning complex, detailed, and evolving knowledge is a challenge in multiple technical professions. Relevant source knowledge is contained within many large documents and information sources with frequent updates to these doc…
View article: Comprehensive guide for epigenetics and transcriptomics data quality control
Comprehensive guide for epigenetics and transcriptomics data quality control Open
View article: Direct Deconvolution of Unknown DNA Profiles in a 2-Person Mixture for Use in Investigative Forensic Genetic Genealogy
Direct Deconvolution of Unknown DNA Profiles in a 2-Person Mixture for Use in Investigative Forensic Genetic Genealogy Open
View article: LLMs for Closed-Library Multi-Document Query, Test Generation, and Evaluation
LLMs for Closed-Library Multi-Document Query, Test Generation, and Evaluation Open
Learning complex, detailed, and evolving knowledge is a challenge in multiple technical professions. Relevant source knowledge is contained within many large documents and information sources with frequent updates to these documents. Knowl…
View article: Comprehensive Guide of Epigenetics and Transcriptomics Data Quality Control
Comprehensive Guide of Epigenetics and Transcriptomics Data Quality Control Open
Host response to environmental exposures such as pathogens and chemicals can cause modifications to the epigenome and transcriptome. Analysis of these modifications can reveal signatures with regards to the agent and timing of exposure. Ex…
View article: Human Cytokine and Coronavirus Nucleocapsid Protein Interactivity Using Large-Scale Virtual Screens
Human Cytokine and Coronavirus Nucleocapsid Protein Interactivity Using Large-Scale Virtual Screens Open
Understanding the interactions between SARS-CoV-2 and the human immune system is paramount to the characterization of novel variants as the virus co-evolves with the human host. In this study, we employed state-of-the-art molecular docking…
View article: From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference Open
Large language models (LLMs) have exploded in popularity due to their new generative capabilities that go far beyond prior state-of-the-art. These technologies are increasingly being leveraged in various domains such as law, finance, and m…
View article: Hypersparse Network Flow Analysis of Packets with GraphBLAS
Hypersparse Network Flow Analysis of Packets with GraphBLAS Open
Internet analysis is a major challenge due to the volume and rate of network traffic. In lieu of analyzing traffic as raw packets, network analysts often rely on compressed network flows (netflows) that contain the start time, stop time, s…
View article: The MIT Supercloud Workload Classification Challenge
The MIT Supercloud Workload Classification Challenge Open
High-Performance Computing (HPC) centers and cloud providers support an increasingly diverse set of applications on heterogenous hardware. As Artificial Intelligence (AI) and Machine Learning (ML) workloads have become an increasingly larg…
View article: The MIT Supercloud Dataset
The MIT Supercloud Dataset Open
Artificial intelligence (AI) and Machine learning (ML) workloads are an increasingly larger share of the compute workloads in traditional High-Performance Computing (HPC) centers and commercial cloud systems. This has led to changes in dep…
View article: Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment
Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment Open
This paper describes a scalable active learning pipeline prototype for large-scale brain mapping that leverages high performance computing power. It enables high-throughput evaluation of algorithm results, which, after human review, are us…
View article: Active Learning Pipeline for Brain Mapping in a High Performance\n Computing Environment
Active Learning Pipeline for Brain Mapping in a High Performance\n Computing Environment Open
This paper describes a scalable active learning pipeline prototype for\nlarge-scale brain mapping that leverages high performance computing power. It\nenables high-throughput evaluation of algorithm results, which, after human\nreview, are…
View article: GrigoraSNPs: Optimized HTS DNA Forensic SNP Analysis
GrigoraSNPs: Optimized HTS DNA Forensic SNP Analysis Open
High throughput DNA sequencing technologies enable improved characterization of forensic DNA samples enabling greater insights into DNA contributor(s). Current DNA forensics techniques rely upon allele sizing of short tandem repeats by cap…