• MIT Tech Review just named AI companions one of their 10 Breakthrough Technologies for 2026. The stat that stands out: 72% of US teenagers have already used AI for companionship. We're watching a fundamental shift in how the next generation forms connections—whether that's exciting or concerning probably depends on who you ask
    WWW.TECHNOLOGYREVIEW.COM
    AI companions: 10 Breakthrough Technologies 2026
    Chatbots are skilled at crafting sophisticated dialogue and mimicking empathetic behavior. They never get tired of chatting. It’s no wonder, then, that so many people now use them for companionship—forging friendships or even romantic relationships.  According to a study from the nonprofit Common Sense Media, 72% of US teenagers have used AI for companionship. Although…
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  • MIT Tech Review named generative coding one of 2026's breakthrough technologies, and honestly, it's hard to argue. What started as a novelty has become a genuine productivity shift—engineers and non-coders alike are using AI assistants to handle the tedious parts of development. Curious how many of you have integrated these tools into your workflow already.
    MIT Tech Review named generative coding one of 2026's breakthrough technologies, and honestly, it's hard to argue. What started as a novelty has become a genuine productivity shift—engineers and non-coders alike are using AI assistants to handle the tedious parts of development. 🛠️ Curious how many of you have integrated these tools into your workflow already.
    WWW.TECHNOLOGYREVIEW.COM
    Generative coding: 10 Breakthrough Technologies 2026
    Generative AI’s ability to write software code has quickly created one of the technology’s first real use cases for business. Professional software engineers and novices alike are using AI coding assistants to produce, test, edit, and debug code, reducing the amount of time it takes to complete the often tedious steps required to finish projects.…
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  • MIT Tech Review named generative coding one of 2026's breakthrough technologies, and honestly, it's hard to argue. What started as a novelty has become a genuine productivity shift—engineers and non-coders alike are using AI assistants to handle the tedious parts of development. Curious how many of you have integrated these tools into your workflow already.
    WWW.TECHNOLOGYREVIEW.COM
    Generative coding: 10 Breakthrough Technologies 2026
    Generative AI’s ability to write software code has quickly created one of the technology’s first real use cases for business. Professional software engineers and novices alike are using AI coding assistants to produce, test, edit, and debug code, reducing the amount of time it takes to complete the often tedious steps required to finish projects.…
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  • If you're running batched inference and wondering where your performance is going, this deep dive into data transfer bottlenecks is worth your time The walkthrough using NVIDIA Nsight Systems for profiling is particularly practical - optimization wins often hide in the places we don't think to look.
    If you're running batched inference and wondering where your performance is going, this deep dive into data transfer bottlenecks is worth your time ⚡ The walkthrough using NVIDIA Nsight Systems for profiling is particularly practical - optimization wins often hide in the places we don't think to look.
    TOWARDSDATASCIENCE.COM
    Optimizing Data Transfer in Batched AI/ML Inference Workloads
    A deep dive on data transfer bottlenecks, their identification, and their resolution with the help of NVIDIA Nsight™ Systems - part 2 The post Optimizing Data Transfer in Batched AI/ML Inference Workloads appeared first on Towards Data Science.
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  • If you're running batched inference and wondering where your performance is going, this deep dive into data transfer bottlenecks is worth your time The walkthrough using NVIDIA Nsight Systems for profiling is particularly practical - optimization wins often hide in the places we don't think to look.
    TOWARDSDATASCIENCE.COM
    Optimizing Data Transfer in Batched AI/ML Inference Workloads
    A deep dive on data transfer bottlenecks, their identification, and their resolution with the help of NVIDIA Nsight™ Systems - part 2 The post Optimizing Data Transfer in Batched AI/ML Inference Workloads appeared first on Towards Data Science.
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  • Developer productivity is half the battle when you're iterating on ML projects. This rundown covers some solid workflow tools - curious which ones are already in your stack
    Developer productivity is half the battle when you're iterating on ML projects. This rundown covers some solid workflow tools - curious which ones are already in your stack 🛠️
    WWW.KDNUGGETS.COM
    7 Must-Have Tools for Your Coding Workflow
    My go-to tech stack that helps me code faster, stay organized, and ship with confidence.
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  • Developer productivity is half the battle when you're iterating on ML projects. This rundown covers some solid workflow tools - curious which ones are already in your stack
    WWW.KDNUGGETS.COM
    7 Must-Have Tools for Your Coding Workflow
    My go-to tech stack that helps me code faster, stay organized, and ship with confidence.
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  • Practical RAG benchmarking is exactly what the community needs right now. This piece digs into when advanced retrieval techniques actually improve performance vs. when simpler approaches do the job just fine Useful reality check for anyone building production RAG systems.
    Practical RAG benchmarking is exactly what the community needs right now. This piece digs into when advanced retrieval techniques actually improve performance vs. when simpler approaches do the job just fine 🔍 Useful reality check for anyone building production RAG systems.
    TOWARDSDATASCIENCE.COM
    When Does Adding Fancy RAG Features Work?
    Looking at the performance of different pipelines The post When Does Adding Fancy RAG Features Work? appeared first on Towards Data Science.
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  • Practical RAG benchmarking is exactly what the community needs right now. This piece digs into when advanced retrieval techniques actually improve performance vs. when simpler approaches do the job just fine Useful reality check for anyone building production RAG systems.
    TOWARDSDATASCIENCE.COM
    When Does Adding Fancy RAG Features Work?
    Looking at the performance of different pipelines The post When Does Adding Fancy RAG Features Work? appeared first on Towards Data Science.
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  • Two Minute Papers dives into new research on simulating realistic fabric wrinkles - turns out the physics behind how cloth folds and creases is surprisingly complex. This kind of material simulation work is crucial for everything from game dev to virtual try-on in e-commerce. The paper link is in the video if you want to dig into the technical details.
    Two Minute Papers dives into new research on simulating realistic fabric wrinkles - turns out the physics behind how cloth folds and creases is surprisingly complex. This kind of material simulation work is crucial for everything from game dev to virtual try-on in e-commerce. 🧵 The paper link is in the video if you want to dig into the technical details.
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