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Articles récents
- Deciphering the AI Startup Ecosystem: Insights from the Intel® Liftoff AI Startups Index Report
- From FLOPs to Watts: Energy Measurement Skills for Sustainable AI in Data Centers
- Advent of Multimodal AI Hackathon: A Recap of Innovation and Global Talent
- Chooch AI: The Secret Behind Smarter Retail Decisions This Holiday Season
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Neural networks news
Intel NN News
- Deciphering the AI Startup Ecosystem: Insights from the Intel® Liftoff AI Startups Index Report
Intel’s AI Startup Index Report 2024, published by Intel® Liftoff for AI Startups, offers an […]
- From FLOPs to Watts: Energy Measurement Skills for Sustainable AI in Data Centers
Energy transparency is increasingly a priority for policymakers in the responsible deployment and […]
- Advent of Multimodal AI Hackathon: A Recap of Innovation and Global Talent
Discover the highlights of the Advent of Multimodal AI Hackathon, where global talent came together […]
- Deciphering the AI Startup Ecosystem: Insights from the Intel® Liftoff AI Startups Index Report
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Find Your Best LLM: Unify Helps Detect the Right LLM Quickly and Cost-Efficiently
With the help of the Unify LLM router companies can determine easily and cost effective which LLM provides the best outcome for a given prompt, based on the output quality, cost and speed of existing models.
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AI SpeedRacers: Code Atzen and Team Kanton Enhance Enterprise Communication at Start Hack 2024
The two winners from Start Hack 2024 used Intel® Developer Cloud and AI to create new, efficient, and cost-effective communication solutions for businesses.
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NumPy Functions Composed
Compare Fast Inverse Square Root Method to NumPy ufuncs, Numba JIT, and Cython — Which One Wins?
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Hacking the Future: Recapping The Inaugural Intel® Liftoff Days 2024
Welcome to our recap of our inaugural Intel® Liftoff Days 2024, a unique virtual hackathon event tailored exclusively for the program members. This week-long immersive tech acceleration experience offered our startup community a distinct opportunity to explore various cutting-edge topics … Continuer la lecture
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Customer Churn Prediction with Intel AI Tools: Developer Spotlight
Customer churn is defined as the number of people stopped being customers over a certain time frame. It is a key metric for business and a high customer churn rate indicates that the customer is no longer interested in the … Continuer la lecture
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Intel Research on LiDAR Localization with Semantic Awareness Receives Highlight Award at CVPR 2024
Researchers at Intel Labs, in collaboration with Xiamen University, have presented LiSA, the first semantic aware AI framework for highly accurate 3D visual localization. LiSA can leverage pre-trained semantic segmentation models to significantly improve state-of-the-art 3D visual localization accuracy, without … Continuer la lecture
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Seekr – Building and Enabling Trustworthy AI for Businesses
Keeping online content accurate and respectful is a growing challenge. In this Code Together Podcast, we unpack how Seekr tackles this with sophisticated AI tools designed to ensure content meets high standards.
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Build and Develop ML workloads on Intel® Tiber™ Developer Cloud
Machine Learning (ML) is a field in artificial intelligence which uses statistical algorithms that learn from data and predict new outcomes on unseen data without explicit instructions. Training ML models requires large amounts of data, computing power and infrastructure. Intel … Continuer la lecture
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Transforming an AI Business into a Market Differentiator: the Bilic-Intel Alliance
Bilic began as a crypto investigation platform, working initially on tracking and tracing crypto assets, which involved a significant amount of manual effort. To manage the growing workload, Bilic started automating tasks, developing AI agents that could analyze wallets, detect … Continuer la lecture
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Intel Labs Presents Six Cutting-Edge Machine Learning Research Papers at ICML 2024
Intel Labs will present six papers at ICML 2024 on July 21-27, including three poster papers at the main conference on test time adaptation methods, a task-centric angle for the pre-trained weights of large language models, and a general form … Continuer la lecture
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