This “robot bird” flies at 45 mph through forests—With no GPS or light

Unlike birds, which navigate unknown environments with remarkable speed and agility, drones typically rely on external guidance or pre-mapped routes. However, a groundbreaking development by Professor Fu Zhang and researchers from the Department of Mechanical Engineering of Faculty of Engineering at the University of Hong Kong (HKU), has enabled drones and micro air vehicles (MAVs) …

Novel analytics framework measures empathy of people captured in video recordings

Empathy, the ability to understand what others are feeling and emotionally connect with their experiences, can be highly advantageous for humans, as it allows them to strengthen relationships and thrive in some professional settings. The development of tools for reliably measuring people’s empathy has thus been a key objective of many past psychology studies.

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Palantir Is Still Not a Data Company (Palantir Explained, #7)

A refresher on the most common misconceptions about Palantir, what we do, and how we work Editor’s Note: This is the seventh post in Palantir Explained, a series that explores a range of topics, including our approach to privacy, security, AI/ML safety, and more. In this post, we revisit some of the themes discussed in our …

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Build a serverless audio summarization solution with Amazon Bedrock and Whisper

Recordings of business meetings, interviews, and customer interactions have become essential for preserving important information. However, transcribing and summarizing these recordings manually is often time-consuming and labor-intensive. With the progress in generative AI and automatic speech recognition (ASR), automated solutions have emerged to make this process faster and more efficient. Protecting personally identifiable information (PII) …

Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes

The pace of innovation in open-source AI is breathtaking, with models like Meta’s Llama4 and DeepSeek AI’s DeepSeek. However, deploying and optimizing large, powerful models can be  complex and resource-intensive. Developers and machine learning (ML) engineers need reproducible, verified recipes that articulate the steps for trying out the models on available accelerators.  Today, we’re excited …