Supply chains are the lifeblood of global commerce, yet they remain plagued by inefficiencies—delays, stockouts, overproduction, and unpredictable disruptions. Enter autonomous AI agents, the silent orchestrators now optimizing logistics with superhuman…
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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…
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…
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…
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…
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%…
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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…
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…
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…