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Palantir’s Response to White House OSTP on Developing AI Action Plan

Palantir’s Response to the White House Office of Science and Technology Policy (OSTP) on Developing an AI Action Plan The United States must act decisively to maintain its AI leadership position At Palantir, we see our work as a duty and privilege: to support the United States of America, its core national interests, and the civilization …

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Intelligent healthcare assistants: Empowering stakeholders with personalized support and data-driven insights

Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on. Their knowledge is static and confined to the information they were trained on, which becomes …

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Enhancing multiplayer games with gen AI and cloud gaming: a technical deep dive

Generative AI is poised to revolutionize the gaming landscape. It will offer — and in many cases, already is offering — personalized NPCs, dynamic narratives, and tailored environments, thereby reshaping player experiences. It’s a concept increasingly known as living games. The recent unveiling of Genie 2: a large scale foundation world model created by Google …

Inching towards AGI: How reasoning and deep research are expanding AI from statistical prediction to structured problem-solving

GUEST: AI has evolved at an astonishing pace. What seemed like science fiction just a few years ago is now an undeniable reality. Back in 2017, my firm launched an AI Center of Excellence. AI was certainly getting better at predictive analytics and many machine learning (ML) algorithms were being used for voice recognition, spam …

An evolving robotics encyclopedia characterizes robots based on their performance

Over the past decades, roboticists have introduced a wide range of systems with distinct body structures and varying capabilities. As the number of developed robots continuously grows, being able to easily learn about these many systems, their unique characteristics, differences and performance on specific tasks could prove highly valuable.