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,…
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Introduction
Python's built-in datetime module can easily be considered the go-to library for handling date and time formatting and manipulation in the ecosystem. Most Python coders are familiar with creating datetime objects, formatting them into strings, and performing basic arithmetic. However, this powerful module, sometimes alongside related libraries…
Understanding the Link Between Body Movement and Visual Perception
The study of human visual perception through egocentric views is crucial in developing intelligent systems capable of understanding & interacting with their environment. This area emphasizes how movements of the human body—ranging from locomotion to arm manipulation—shape what is seen from a first-person perspective. Understanding this…
Research
Published
12 June 2025
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Google DeepMind has unveiled Gemini Robotics On-Device, a compact, local version of its powerful vision-language-action (VLA) model, bringing advanced robotic intelligence directly onto devices. This marks a key step forward in the field of embodied AI by eliminating the need for continuous cloud connectivity while maintaining the flexibility, generality, and high precision associated with the…