Gemini Robotics 1.5 brings AI agents into the physical world
New era of physical agents will help robots perceive, plan, think, use tools and act to solve complex tasks.
Leveraging Audio-Visual Data to Reduce the Multilingual Gap in Self-Supervised Speech Models
Self-supervised learning (SSL) has made significant advances in speech representation learning. Models like wav2vec 2.0 and HuBERT have achieved state-of-the-art results in tasks such as speech recognition, particularly in monolingual settings. However, multilingual SSL models tend to underperform their monolingual counterparts on each individual language, especially in multilingual scenarios with few languages such as the …
How Palantir’s Strategic Privacy Investments Enable Future Customer Success
Building for Tomorrow Introduction Palantir’s customers use our software platforms for their most critical challenges — from delivering vaccines to enabling force readiness to building resilient supply chains — and these challenges often require bringing together data with unique sensitivities from a variety of source systems. This is why we have spent the past 20-plus years building tools for security, …
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DoWhile loops now supported in Amazon Bedrock Flows
Today, we are excited to announce support for DoWhile loops in Amazon Bedrock Flows. With this powerful new capability, you can create iterative, condition-based workflows directly within your Amazon Bedrock flows, using Prompt nodes, AWS Lambda functions, Amazon Bedrock Agents, Amazon Bedrock Flows inline code, Amazon Bedrock Knowledge Bases, Amazon Simple Storage Service (Amazon S3), …
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GPUs when you need them: Introducing Flex-start VMs
Innovating with AI requires accelerators such as GPUs that can be hard to come by in times of extreme demand. To address this challenge, we offer Dynamic Workload Scheduler (DWS), a service that optimizes access to compute resources when and where you need them. In July, we announced Calendar mode in DWS to provide short-term …
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SimpleFold: Folding Proteins is Simpler than You Think
Protein folding models have achieved groundbreaking results since the introduction of AlphaFold2, typically built via a combination of integrating domain-expertise into its architectural designs and training pipelines. Nonetheless, given the success of generative models across different but related problems, it is natural to question whether these architectural designs are a necessity to build performant models. …
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À propos de Palantir
Réponses aux Questions Fréquentes sur Palantir Nous avons reçu de nombreuses questions concernant Palantir. Étant donné le grand intérêt que sucite notre entreprise, nous avons rassemblé quelques unes des questions les plus fréquentes et nous y répondons dans cet article. Que fait Palantir ? Palantir Technologies est une entreprise de logiciels qui fournit des plateformes de gestion de …
Launching Gemini CLI extensions for Google Data Cloud
In June, Google introduced Gemini CLI, an open-source AI agent that brings the power of Gemini directly into your terminal. And today, we’re excited to announce open-source Gemini CLI extensions for Google Data Cloud services. Building applications and analyzing trends with services like Cloud SQL, AlloyDB and BigQuery has never been easier — all from …
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Defensive Databases: Optimizing Index-Refresh Semantics
Editor’s Note: This is the first post in a series exploring how Palantir customizes infrastructure software for reliable operation at scale. Written by the Foundations organization — which owns the foundational technologies backing all our software, including our storage infrastructure — this post details our experience tuning and customizing ES without forking the source code. We have two primary …
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Running deep research AI agents on Amazon Bedrock AgentCore
AI agents are evolving beyond basic single-task helpers into more powerful systems that can plan, critique, and collaborate with other agents to solve complex problems. Deep Agents—a recently introduced framework built on LangGraph—bring these capabilities to life, enabling multi-agent workflows that mirror real-world team dynamics. The challenge, however, is not just building such agents but …
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