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Patrick Kelly

Profile page created Mar 18, 2020

Software Engineer & Writer
Patrick Kelly blogs at https://patkellyengineering.com

Summary

Patrick Kelly has worked in the Software Engineering field for seven years. He enjoys DevOps, front- and back-end work and has recently been focused on building scalable ML applications and data pipelines.

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  • Molecular Dynamics Simulation Based on Machine Learning Wins Gordon Bell Prize

    The 2020 Association for Computing Machinery (ACM) Gordon Bell Prize was given to a team of researchers from institutions in the USA and China for their project titled: "Pushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms with machine learning"

  • AWS Announces EC2 P4d Instances for ML and HPC

    Amazon Web Services (AWS) recently announced the availability of Elastic Compute Cloud (EC2) P4d instances with UltraClusters capability. These GPU-powered instances will deliver faster performance, lower cost, and more GPU memory for machine learning (ML) training and high-performance computing (HPC) than previous generation of P3 instances.

  • Tesla Releases Full Self-Driving Mode Beta Update

    Tesla has enabled new full-self driving features for certain customers. The new features include the ability to automatically steer the vehicle while on city streets, and Tesla plans to increase the price of the package by $2,000 in the near future.

  • Sidewalk Labs Launches Machine Learning Tool for Urban Design

    Sidewalk Labs recently released Delve, a generative design tool powered by machine learning (ML), which helps developers, architects, and planners design urban neighborhoods. The ML algorithms can generate design options from minimal user input about the space and the goals of the project, while also measuring the impact of each design choice.

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  • Udacity and Microsoft Launch ML Engineer on Azure Course

    Microsoft and Udacity have joined forces to launch a machine learning (ML) engineer training program focused on training, validating, and deploying models using the Azure Suite. The program is open to students with minimal coding experience and will focus on using Azure automated ML.

  • ML-Assisted Biochip Used for Real-Time Single Cancer Cell Analysis

    Researchers and engineers at UCI recently created a machine learning-assisted biochip that can both examine and differentiate between cancers and healthy tissues at the single cell level. The data produced by the device can be used to study tumor heterogeneity, which can help reduce resistance to cancer therapies.

  • Google AI Launches NLU-Powered Tool to Help Explore COVID-19 Literature

    Google AI launched COVID-19 Research Explorer, which provides a semantic search interface on top of the COVID-19 Open Research Dataset to help scientists and researchers efficiently analyze all of the dataset’s journal articles and preprints.

  • OpenAI Introduces Microscope, Visualizations for Understanding Neural Networks

    OpenAI has released Microscope, a collection of visualizations of every significant layer and neuron of eight leading computer vision (CV) models which are often studied in interpretability. The tool helps researchers analyze the features and other important attributes which form inside of the neural networks powering these CV models.

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