In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, explores why mathematics is so integral to data science and machine learning, with a special focus on the areas most crucial for these disciplines, including the foundation needed to understand generative AI.
Search Results for: data science
Data Science and AI Company KNIME Secures Investment to Accelerate Adoption of Enterprise-Grade AI Governance and ModelOps
KNIME, one of the leading open-source data science and AI companies, has raised additional funding from its longstanding investor Invus. Since the last announcement, Invus invested another $30M, bringing total funding to $50M. This will allow KNIME, as the only open-source, low-code data science company on the market, to double down on development of its enterprise-grade AI governance and ModelOps capabilities, while continuing to stay ahead of the rapid innovation in the field.
How Can Data Science Accelerate Drug Discovery Processes?
In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, describes how thoughtfully applied data science principles and tools empower modern researchers to find new, viable treatment methods for various diseases and ailments. Humans will always be essential to drug discoveries, but the fascinating examples here and elsewhere show the power of using purposeful data analytics to meet shared goals.
NVIDIA and HP Supercharge Data Science and Generative AI on Workstations
HP Amplify — NVIDIA and HP Inc. today announced that NVIDIA CUDA-X™ data processing libraries will be integrated with HP AI workstation solutions to turbocharge the data preparation and processing work that forms the foundation of generative AI development.
Video Highlights: Data Science Trend Predictions — with Sadie St. Lawrence
In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Sadie St. Lawrence to analyze last year’s predictions and delve into the emerging technologies reshaping the field. They cover a range of topics, including the rise of AI hardware accelerators, the evolution of large language models into operating systems, and the potential impact of generative AI on data analysis roles.
Delphina Raises $7.5 Million to Build Copilot for Data Science
Delphina, an LLM-powered copilot for data science, announced the closing of a $7.5 million seed round co-led by Costanoa Ventures and Radical Ventures with participation from 20+ prominent angel investors, including Stanford professor Fei-Fei Li. The funding will be used to expand its team and accelerate product development.
What Impact Will Ethical AI Have on the Future of Data Science?
In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, believes that as people continue exploring ways to use AI in modern society, there’s an increasing concern about ensuring all the current, potential and future applications operate ethically. Many professionals have devoted themselves to furthering ethical AI principles by developing guidelines, best practices and other resources for the industry at large to use. Data science practices will inevitably be altered, as well.
Anaconda’s State of Data Science Report Report Reveals Surge in AI Upskilling Among Data and IT Professionals
Anaconda Inc., provider of the popular platform for data science and modern AI development, released its sixth annual State of Data Science report, surfacing insights into today’s vibrant data science community and the growth and usage of AI and open-source software.
Anaconda Distribution for Python Brings Data Science to Hundreds of Millions of Microsoft Excel Users
Anaconda Inc., the provider of one of the world’s most widely used and trusted data science and AI platforms, announced the beta availability of Anaconda Distribution for Python in Excel, a new integration with Microsoft Excel. Anaconda’s Python distribution is fully embedded and integrated into the Excel grid toolboxes for manipulating, analyzing, and visualizing data and for advanced machine learning and AI. Python in Excel is currently rolling out to Public Preview and is available for Microsoft Insiders.
Top Data Science Ph.D. Dissertations (2019-2020)
The American Mathematical Society (AMS) recently published in its Notices monthly journal a long list of all the doctoral degrees conferred from July 1, 2019 to June 30, 2020 for mathematics and statistics. The degrees come from 242 departments in 186 universities in the U.S. I enjoy keeping a pulse on the research realm for my field, so I went through the entire published list and picked out 48 dissertations that have high relevance to data science, machine learning, AI and deep learning. The list below is organized alphabetically by state.