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Ever run a Python script and immediately wished you hadn’t pressed Enter?
Debugging in data science is not just an act; it’s a survival skill — particularly when dealing with messy datasets or devising prediction models on which actual people rely.
In this article, we will explore the basics…
Autoregressive video generation is a rapidly evolving research domain. It focuses on the synthesis of videos frame-by-frame using learned patterns of both spatial arrangements and temporal dynamics. Unlike traditional video creation methods, which may rely on pre-built frames or handcrafted transitions, autoregressive models aim to generate content dynamically based on prior tokens. This approach is…
Acknowledgements We thank the International Mathematical Olympiad organization for their support. Thang Luong led the overall technical direction of the advanced Gemini model with Deep Think for IMO and co-led with Edward Lockhart on the overall coordination of the IMO 2025 effort. The IMO 2025 system would not have been possible without the following technical…
Bridging Perception and Action in Robotics
Multimodal Large Language Models (MLLMs) hold promise for enabling machines, such as robotic arms and legged robots, to perceive their surroundings, interpret scenarios, and take meaningful actions. The integration of such intelligence into physical systems is advancing the field of robotics, pushing it toward autonomous machines that don’t just…
By 2030, the CIO will be the power center of the c-suite. In less than a decade, CIOs at Fortune 100 companies are on track to control more than 50% of investments - a massive shift from just 24% in 2018. That’s not a typo. CIOs are no longer just IT stewards. They’re investment strategists.…
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In data science and machine learning, raw data is rarely suitable for direct consumption by algorithms. Transforming this data into meaningful, structured inputs that models can learn from is an essential step — this process is known as feature engineering. Feature engineering can impact model performance, sometimes even more than the…
Bridging the Gap Between Artistic Intent and Technical Execution
Photo retouching is a core aspect of digital photography, enabling users to manipulate image elements such as tone, exposure, and contrast to create visually compelling content. Whether for professional purposes or personal expression, users often seek to enhance images in ways that align with specific aesthetic…
Advances in generative AI are making it possible for people to create content in entirely new ways — from text to high quality audio, images and videos. As these capabilities advance and become more broadly available, questions of authenticity, context and verification emerge. Today we’re announcing SynthID Detector, a verification portal to quickly and efficiently…
The Challenge of Scaling 3D Environments in Embodied AI
Creating realistic and accurately scaled 3D environments is essential for training and evaluating embodied AI. However, current methods still rely on manually designed 3D graphics, which are costly and lack realism, thereby limiting scalability and generalization. Unlike internet-scale data used in models like GPT and CLIP,…