Computer vision is rapidly transforming industries by enabling machines to interpret and make decisions based on visual data. From autonomous vehicles to medical imaging, its applications are vast and growing. Learning computer vision is essential as it equips you with the skills to develop innovative solutions in areas like automation, robotics, and AI-driven analytics, driving…
Acknowledgements This work was made possible by the contributions of: Ankush Gupta, Nick Pezzotti, Pavel Khrushkov, Tobenna Peter Igwe, Kazuya Kawakami, Mateusz Malinowski, Jacob Kelly, Yan Wu, Xinyu Wang, Abhishek Sharma, Ali Razavi, Eric Lau, Serena Zhang, Brendan Shillingford, Yelin Kim, Eleni Shaw, Signe Nørly, Andeep Toor, Irina Blok, Gregory Shaw, Pen Li, Scott Wisdom,…
In the rapidly evolving field of household robotics, a significant challenge has emerged in executing personalized organizational tasks, such as arranging groceries in a refrigerator. These tasks require robots to balance user preferences with physical constraints while avoiding collisions and maintaining stability. While Large Language Models (LLMs) enable natural language communication of user preferences, this…
Why retrieval, not generation, makes RAG systems magical Quick POCs Most quick proof of concepts (POCs) which allow a user to explore data with the help of conversational AI simply blow you away. It feels like pure magic when you can all of a sudden talk to your documents, or data, or code base. These…
Neuroscience has advanced significantly, allowing us to understand the mapping of neurons in the brain. Neurons have dendrites and axons, branch-like structures connecting the neurons. Understanding these mappings is crucial for uncovering how the brain processes information, supports cognition, and controls movement, which have implications in neuroscience research and neurological disorder treatment. Mesoscale imaging is…