Jack Clark on recent progress in deep learning, the rise of AI ethics, and what lies ahead for language models.
Ajay Kulkarni and Mike Freedman on the many benefits of data management solutions focused on temporal data.
Wendy Foster on data science use cases, Responsible AI, and emerging tools such as large language models and multimodal models.
Elham Tabassi and Andrew Burt on a new NIST framework that addresses risks in the design, development, use, and evaluation … More
Amit Sharma and Emre Kiciman on making causal inference and learning more accessible.
Leo Meyerovich on how and why the best companies are adopting Graph Visual Analytics, Graph AI, and Graph Neural Networks.
Dia Trambitas-Miron and David Talby on what makes NLP in Health/Pharma/Biotech challenging and unique.
Simon Crosby on distributed actors and data infrastructure that enable companies to analyze, learn and predict on the fly.
Nicholas Boucher on adversarial examples that can be used to attack text-based models, and the state of homomorphic encryption for … More
Anjali Samani on the evolution of the data scientist role, the rise of ML engineers and MLOps, and how to … More