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Dr. Rebecca Howard is a distinguished research scientist and thought leader specializing in Artificial Intelligence and Computational Linguistics, with over 18 years of experience driving innovation in natural language processing (NLP) and machine learning. Currently based in Cambridge, Massachusetts, she leads a cutting-edge research group focused on developing ethical AI frameworks and advancing human-AI collaboration. Rebecca is known for her ability to translate complex theoretical concepts into practical applications, having contributed significantly to a number of widely-used NLP models. She is a passionate advocate for diversity in STEM and actively mentors early-career researchers. Her work often explores the intersection of AI, ethics, and societal impact, making her a sought-after speaker at international conferences.
R Howard's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Developed a novel attention-based neural network architecture that significantly improved performance in machine translation and text summarization tasks, leading to its adoption in several commercial products.
Co-authored the critically acclaimed book 'The Ethical Algorithm: AI and the Future of Human Decision-Making', which provides a comprehensive guide for developing and deploying AI systems responsibly. The book has been translated into 12 languages.
Awarded the 'Innovator of the Year' by the Association for Computational Linguistics (ACL) in 2021 for her groundbreaking contributions to semantic understanding and AI ethics.
Founded and currently directs a multi-institutional research initiative dedicated to advancing the study and implementation of ethical AI, securing over $5 million in grant funding.
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
AngelTrax provides mobile video surveillance systems for vehicles like school buses, public transit, and commercial fleets. For end-users, such as fleet managers or safety officers, this means enhanced safety for passengers and drivers, tools to investigate incidents with clear video evidence, and a way to monitor driver behavior. Their technology helps ensure accountability and can reduce risks and operational costs associated with vehicle fleets.
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