In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, explores the origins of NumPy and SciPy with their creator, Dr. Travis Oliphant. Dr. Oliphant shares his journey from personal need to global impact, the challenges overcome, and the future of these essential Python libraries in scientific computing and data science.
Apple researchers achieve state-of-the-art results in multimodal AI with MM1 models, combining text and images for breakthroughs in image captioning, visual question answering, and few-shot learning, as the company invests heavily in AI to enhance Siri, Messages, and future products.
How can we effectively generate missing data trans-formations among tables in a data repository? Multiple versions of the same tables are generated from the iterative process when data scientists and machine learning engineers fine-tune their ML pipelines, making incremental improvements. This…
Zapata Computing, Inc., the Industrial Generative AI company, announced that its scientists, in collaboration with Insilico Medicine, the University of Toronto, and St. Jude Children’s Research Hospital have demonstrated the first instance of a generative model running on quantum hardware outperforming state-of-the-art classical models in generating viable cancer drug candidates. The research points to a promising future of hybrid quantum generative AI for drug discovery using today’s quantum devices.
Snowflake partners with Landing AI to integrate advanced computer vision capabilities into its Data Cloud, unlocking new possibilities for enterprises to harness the potential of visual data across industries.
Join leaders in Boston on March 27 for an exclusive night of networking, insights, and conversation. Request an invite here. For OpenAI CTO Mira Murati, an exclusive Wall Street Journal interview with personal tech columnist Joanna Stern yesterday seemed like a slam-dunk. The clips of OpenAI’s Sora text-to-video model, which was shown off in a […]
Second-order optimization methods, such as cubic regularized Newton methods, are known for their rapid convergence rates; nevertheless, they become impractical in high-dimensional problems due to their substantial memory requirements and computational costs. One promising approach is to execute…
Anthropic launches Claude 3 Haiku, the fastest and most affordable AI model in its class, featuring advanced vision capabilities and enterprise-grade security for high-volume, latency-sensitive applications.
Microsoft's Copilot for Security, an AI-powered cybersecurity platform, launches April 1st to help organizations combat the growing threat landscape and bridge the cybersecurity talent gap.
Proscia raises $9M in Series C extension and secures FDA clearance to accelerate the adoption of AI-powered digital pathology for life sciences and diagnostic laboratories.
Given a node-attributed graph, and a graph task (link prediction or node classification), can we tell if a graph neural network (GNN) will perform well? More specifically, do the graph structure and the node features carry enough usable information for the task? Our goals are (1) to develop a fast…
Sellers on online marketplaces such as Amazon.com use a variety of retail and retail media advertising services to improve their brand performance, including awareness, consideration, and revenue. But how can they measure their progress and drive these metrics? For 122,000 brands, we measure Amazon…
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.