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Synergy of Generative, Analytical, Causal, and Autonomous AI – Data Science Central
The current fascination with Generative AI (GenAI) especially as manifested by OpenAIs ChatGPT has raised public awareness of Artificial Intelligence (AI) and its ability to create new sources of customer, product, service, and operational value. Leveraging GenAI tools and Large Language Models (LLMs) to generate new textual, graphical, video, and audio content is astounding.
Brain Data Science Platform increases EEG accessibility with open data and research enabled by AWS – AWS Blog
Introduction About 4.5 million electroencephalogram (EEG) tests are performed in the US each year. Thats more than if every person in Oregon, Connecticut, or Iowa got an EEG
AI readiness requires buy-in, technology and good governance – TechTarget
While data management and analytics are now firmly in a new era with AI by far the main focal point of users' interests and vendors' product development, readiness for AI is key for organizations before they can make use of cutting-edge capabilities. In another era, the rise of self-service analytics required enterprises to modernize data infrastructures and develop data governance frameworks that balance setting limits on access to data depending on an employees' role while enabling their confident exploration and analysis. Now, similarly, the era of AI requires organizations to modernize, according to Fern Halper, vice president of research at research and advisory firm TDWI
Using AI to map research in the School of Arts & Sciences – Penn Today
When Colin Twomey became interim executive director of the Data Driven Discovery Initiative (DDDI) last summer, he says, his background in behavioral ecology meant that he had a good idea of the data science needs for his own field and some idea for biology, genetics, and evolution. However, with DDDI serving as the hub for data science education and research across the School of Arts & Sciences, Twomey says he found his understanding of the needs for chemistry, sociology, and other fields to be lacking
Building a Data Science Platform with Kubernetes | by Avinash Kanumuru | Jul, 2024 – Towards Data Science
Photo by Growtika on Unsplash When I started in my new role as Manager of Data Science, little did I know about setting up a data science platform for the team. In all my previous roles, I had worked on building models and to some extent deploying models (or at least supporting the team that was deploying models), but I never needed to set up something from scratch (infra, I mean). The data science team did not exist then.
Academic Career & Executive Search (ACES) Selected by East Tennessee State University for Tenure-Track Assistant Professor of Computing Computer…
PRESS RELEASES Academic Career & Executive Search (ACES) Selected by East Tennessee State University for Tenure-Track Assistant Professor of Computing Computer Science Search (June 2024, WEST HARTFORD, CT) Academic Career & Executive Search (ACES), a leading higher education focused executive search firm, has been selected to recruit the next Tenure-Track Assistant Professor of Computing Computer Science at Eastern Tennessee State University. Jennifer Muller, Managing Partner, will be leading the search
UC computer science engineer works to improve AI explainability – University of Cincinnati
The personal and professional growth I have experienced during my time at UC has been remarkable. One achievement I'm proud of is my research project on developing provenance-based solutions for explainable machine learning models.
More people are turning to mental health AI chatbots. What could go wrong? – National Geographic
Chatbots replace talk therapy The accessibility and scalability of digital platforms can significantly lower barriers to mental health care and make it available to a broader population, said Nicholas Jacobson, who researches the use of tech to enhance the assessment and treatment of anxiety and depression at Dartmouth College.
How to assess a general-purpose AI models reliability before its deployed – MIT News
Foundation models are massive deep-learning models that have been pretrained on an enormous amount of general-purpose, unlabeled data. They can be applied to a variety of tasks, like generating images or answering customer questions. But these models, which serve as the backbone for powerful artificial intelligence tools like ChatGPT and DALL-E, can offer up incorrect or misleading information