Research
Published
23 July 2025
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Micromobility solutions—such as delivery robots, mobility scooters, and electric wheelchairs—are rapidly transforming short-distance urban travel. Despite their growing popularity as flexible, eco-friendly transport alternatives, most micromobility devices still rely heavily on human control. This dependence limits operational efficiency and raises safety concerns, especially in complex, crowded city environments filled with dynamic obstacles like pedestrians and…
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 precision. Unlike traditional software, these agents learn, adapt, and make decisions in real-time, often without human intervention.
“AI agents don’t just follow rules—they rewrite them. In…
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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…