Welcome to the September 2020 BASELINE, Novetta’s Machine Learning Newsletter, where we share thoughts on important advances in machine learning technologies likely to impact our customers. This month we cover the following topics: Smaller NLP models Big developments for major hardware and cloud companies New model deployment options for AWS Better, faster, smaller NLP models As new Natural Language Processing (NLP) models boast performance gains over their predecessors, models continue to get larger. OpenAI’s GPT-3, empirically the current leader in NLP models, is comprised of 175 billion parameters, surpassing Microsoft’s T-NLG model (17.5 billion) and Google’s famous BERT model (340…
Webinar: Finding new ways to operate and respond in this pandemic with AI/ML
REGISTER TODAY! Tuesday, September 15, 2020 1:00 PM – 2:00 PM Eastern Machine learning and AI are unique in how they’re helping companies adapt to face pressing business challenges – especially as the market continues to be profoundly impacted by the pandemic. And as compute power becomes far more accessible, companies of every size and type can harness the technology to tackle issues they never anticipated. Companies like the FinTech Kabbage – which used machine learning to process and distribute Paycheck Protection Program (PPP) loans to hundreds of thousands of small businesses – and Novetta – which has built advanced…
BASELINE – August 2020
An ML Newsletter from Novetta
Welcome to the August 2020 BASELINE, Novetta’s Machine Learning Newsletter, where we share thoughts on important advances in machine learning technologies likely to impact our customers. This month we cover the following topics: A faster implementation for object detection Better explainability tools for text models Advances in language models and related tasks PP-YOLO: An Effective and Efficient Object Detection Implementation PP-YOLO is a recently-released object detector that advances the state-of-the-art in object detector models, achieving faster, more accurate results on the COCO dataset than predecessors such as EfficientDet and YOLOv4. Striking a balance between accuracy and inference speed, PP-YOLO is…
BASELINE – July 2020
An ML Newsletter from Novetta
Welcome to the July 2020 BASELINE, Novetta’s Machine Learning Newsletter, where we share thoughts on important advances in machine learning technologies likely to impact our customers. This is another special month, as we invited additional members of our 2020 intern class to share their latest findings. They selected topics covering: Fairness and bias in ML New methods for interacting with tabular data Information extraction from forms Preprocessing for deepfake detection models Algorithmic Injustices As more questions arise concerning the ethical implications of machine learning (ML) usage, prominent conferences, such as NeurIPS, are beginning to ask contributors to evaluate and disclose…
Machine Learning Explainability
Novetta applies machine learning models to help customers make better decisions across a wide range of use cases. Increasingly, decision makers want to understand why a model makes the decisions that it does. Model explanations help our customers gain an understanding of how our models function, while enabling us to debug our models and assess them for bias and fairness. In this blog post, we describe the tools and techniques we use to generate explanations from the predictions of our machine learning models. Interpretable Models Selecting an inherently interpretable “white-box” model is an obvious way to gain insights on how…
BASELINE – June 2020
An ML Newsletter from Novetta
Welcome to the June 2020 installment of BASELINE, Novetta’s Machine Learning Newsletter, where we share thoughts on important advances in machine learning technologies likely to impact our customers. This is a special month, as we invited members of our 2020 intern class to provide their thoughts. They selected topics covering: New methods for training image models with less data Open source audio datasets A new approach for translating between programming languages Faster word embeddings Training GANs with Limited Data Training high-quality Generative Adversarial Networks (GANs) typically requires a large number of images whose collection may be costly or time-consuming. To…
BASELINE – May 2020
An ML Newsletter from Novetta
Welcome to the May 2020 installment of BASELINE, Novetta’s Machine Learning Newsletter, where we share thoughts on important advances in machine learning technologies likely to impact our customers. This month’s topics include: New open source translation models Synthetic audio generation Resources for learning about advances in machine learning Open Source Machine Translation To understand world events, analysts can’t rely solely on English-language news and social media. While the large cloud service providers (Amazon Web Services, Google Cloud Platform, Microsoft Azure) provide high-quality, easy-to-use translation APIs, the costs of API calls can add up. That is why we are excited about…
BASELINE – April 2020
An ML Newsletter from Novetta
Welcome to the April 2020 installment of BASELINE, Novetta’s Machine Learning Newsletter, where we share thoughts on important advances in machine learning technologies likely to impact our customers. This month’s topics include: Creative applications of synthetic data to improve model accuracy How deep learning may speed development of a COVID-19 vaccine A new deep learning approach to tabular data classification Kaggle Bengali competition winner Kaggle is a data science competition site that often sees competitors advance the state-of-the-art in different domains. We have found that Kaggle is one of the best places to identify creative new approaches to problems, and…
Redefining the Disaster Response Landscape with AWS
by Matt Johannessen Over the last six months, Novetta has had the privilege of collaborating closely with the AWS Snow Family and AWS Disaster Response teams. Working with AWS, we have integrated Novetta’s mission proven C4ISR solution, called Ageon ISR. With emerging IoT and Machine Learning capabilities, Ageon ISR is deployed on the rugged AWS Snowball Edge Compute Optimized device. The device acted as a computing and storage hub at the temporary incident command center at two different massive disaster response events. Novetta used the Snowball Edge device to successfully track the location personnel, vehicles, and equipment involved in the…
BASELINE – March 2020
An ML Newsletter from Novetta
Welcome to the March 2020 installment of BASELINE, Novetta’s Machine Learning Newsletter, where we share thoughts on important advances in machine learning technologies likely to impact our customers. This month’s topics include: AdaptNLP, an open source framework for state-of-the-art Natural Language Processing (NLP) A new competition for geospatial AI applications corresponding with the release of a Synthetic Aperture Radar (SAR) dataset A new and improved way of training language models StanfordNLP gets a new coat of paint Research into training large ML models with CPUs A new tool designed for rapid prototyping quantum machine learning models AdaptNLP At Novetta, we…
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