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PYTHON PROGRAMMING Tuples are a powerful Python type — but named tuples even more so! Named tuples join the strengths of names and tuples. Photo by Ainur Iman on UnsplashThe three most popular Python data types are the list, the dictionary, and the tuple. Lists and dictionaries are mutable, meaning that their elements can be…
Object segmentation across images and videos is a complex yet pivotal task. Traditionally, this field has witnessed a siloed progression, with different tasks such as referring image segmentation (RIS), few-shot image segmentation (FSS), referring video object segmentation (RVOS), and video object segmentation (VOS) evolving independently. This disjointed development resulted in inefficiencies and an inability to…
DeepMind published a series of papers about large language models (LLMs) last year, including an analysis of Gopher, our large language model. Language modelling technology, which is also currently being developed by several other labs and companies, promises to strengthen many applications, from search engines to a new wave of chatbot-like conversational assistants and beyond.…
Geospatial indexing, or Geocoding, is the process of indexing latitude-longitude pairs to small subdivisions of geographical space, and it is a technique that we data scientists often find ourselves using when faced with geospatial data. Though the first popular geospatial indexing technique “Geohash” was invented as recently as 2008, indexing latitude-longitude pairs to manageable subdidivisions…
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Prompt engineering, like language models themselves, has come a long way in the past 12 months. It was only a little over a year ago that ChatGPT burst onto the scene and threw everyone's fears and hopes for AI into a supercharged pressure cooker, accelerating both…
The development of multimodal large language models (MLLMs) represents a significant leap forward. These advanced systems, which integrate language and visual processing, have broad applications, from image captioning to visible question answering. However, a major challenge has been the high computational resources these models typically require. Existing models, while powerful, necessitate substantial resources for training…
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A Clinical Perspective on Medical Innovation Image generated by Dall-E 3Being an oncologic surgeon is my primary job and passion. It allows me to interact with people and immerse myself in the healthcare system, not the fancy corporate Healthcare, just everyday medicine. And, as a researcher in AI, I’m noticing a growing disconnect between…
The conventional NeRF and its variations demand considerable computational resources, often surpassing the typical availability in constrained settings. Additionally, client devices’ limited video memory capacity imposes significant constraints on processing and rendering extensive assets concurrently in real-time. The considerable demand for resources poses a crucial challenge in rendering expansive scenes in real-time, requiring rapid loading…