Do you have strong Python + Pytorch experience working with GANs & diffusion models? If so, our research team is looking for a Senior Research Engineer to join us and help build our core multimodal foundation models and manage training runs across thousands of GPUs. Come build with us! Details & Application 👉 https://lnkd.in/gw9nPNce #Hiring #ResearchEngineer #Job #Pytorch #Python
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| Dental Technician | Data Scientist | Linux | DevOps | AI & ML | Blockchain & Crypto Enthusiast | SQL | Python | R | Sales professional | Business Development | Business Analyst | Investor | Board Member |
Image Processing In Python
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Aspiring Data Scientist | Passionate about Data Analytics, Machine Learning, and AI | Data Science Student l MLOps l Azure
image processing in python
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Successfully Automated Deep Neural Network design for FPGA with python.
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Bridging Python and CUDA for AI Development We know where #AI ends. Let's discuss where #HPC starts. AI scientists and researchers have long favored #Python for developing large-scale AI models due to its ease of use and robust ecosystem. However, the efficiency of these models on GPUs often requires a transition—moving from Python prototypes to high-performance CUDA implementations. Traditionally, this task has been handled by HPC teams, but the increasing demands of AI and the complexity of modern GPUs present new challenges: Companies are finding it increasingly difficult to hire enough HPC engineers, and CUDA developers are struggling to keep up. The result? Scalability suffers, and maintenance becomes a persistent challenge. The solution doesn't lie in teaching CUDA to every AI scientist—Python's simplicity and high-level functionality can't be matched by lower-level programming models. Instead, the responsibility falls to the HPC community to bridge the gap. At recent talk I attended, an innovative idea was shared: introducing abstraction layers between Python and CUDA. These layers would offer the simplicity of Python while leveraging the power of CUDA on the backend. Tools like torch.compile and Triton are leading the way, providing exciting possibilities for development. As an HPC engineer, I'm eager to see these solutions mature into production-ready tools. While hand-written CUDA code may still offer the best performance, these new middleware options are invaluable for research, prototyping, and reducing development timelines. Thanks to Chip Huyen for hosting the GPU Optimization workshop and Mark Saroufim for the great presentation. I really enjoyed it. #NewYorkerCartoon
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If you know a company looking for a motivated new grad from UC Santa Cruz specialized in AI, please get in touch. See my resume below: #ai #aicommunity #aiapplications #aicompliance #computerscience #airecruiter #python #naturallanguageprocessing #computervision #stem #innovation #futuretech #airesearch #programming #aiapplications #techtrends #dataanalytics #machinevision #aiethics
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💡Are you a talented Developer with a passion for Python, Data Analysis, and Web applications? Look no further! We’re searching for someone just like you to join our dynamic team. 🦺 👉 Check out the vacancy: https://lnkd.in/eCZskRqB #jobopportunity #python #collisionavoidance
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As new technologies and paradigms emerge, such as machine learning, artificial intelligence, and quantum computing, integrating Python effectively with these technologies presents ongoing challenges. https://palin.co.in/ #python
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