Turning Conversation Into Action (Palantir CSE #2) Anchoring AI Agents Into the Enterprise Editor’s Note: This is the second in a three-part blog series about Palantir’s AI-enabled Customer Service Engine. Part 2: Implementation In Part 1 of this three-part blog series, we explored the agentic architecture of the Customer Service Engine (CSE) through the lens of a …
This post is co-written Rodrigo Amaral, Ashwin Murthy and Meghan Stronach from Qualcomm. In this post, we introduce an innovative solution for end-to-end model customization and deployment at the edge using Amazon SageMaker and Qualcomm AI Hub. This seamless cloud-to-edge AI development experience will enable developers to create optimized, highly performant, and custom managed machine …
Lauren Greenfield, director of the docuseries Social Studies, says we have to have empathy for teens growing up online. “It’s not fair to ask them to self-regulate when the apps have been designed to be addictive.”
Researchers develop an AI-driven video analyzer capable of detecting human actions in video footage with precision and intelligence.
A team of AI researchers with Google’s DeepMind London group has found that certain large language models (LLMs) can serve as effective mediators between groups of people with differing viewpoints regarding a given topic. The work is published in the journal Science.
With the advent of generative AI and machine learning, new opportunities for enhancement became available for different industries and processes. During re:Invent 2023, we launched AWS HealthScribe, a HIPAA eligible service that empowers healthcare software vendors to build their clinical applications to use speech recognition and generative AI to automatically create preliminary clinician documentation. In …
Even the makers of the Guardian Cap admit it looks silly. But for a sport facing an existential brain-injury crisis, once unthinkable solutions have now become almost normal.
In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what to do next. For instance, you’ve likely used next-token prediction models like ChatGPT, which anticipate each word (token) in a sequence to form answers to users’ queries. There are also full-sequence diffusion models like Sora, …
Read more “Combining next-token prediction and video diffusion in computer vision and robotics”
What is Perplexity AI? Is it an over-hyped replacement for Google as a search engine, or do the LLM + search features already have real-world use cases?
This paper presents Wally, a private search system that supports efficient semantic and keyword search queries against large databases. When sufficiently many clients are making queries, Wally’s performance is significantly better than previous systems. In previous private search systems, for each client query, the server must perform at least one expensive cryptographic operation per database …