Susan Kahler

AI and Analytics Enthusiast| Mah-jongg player | Boykin Spaniel lover | Opinions are my own
#computervision #deeplearning #opensource

[Susan Kahler @SusanKahler3]

AI is evolving fast—it's smarter, weirder, and more powerful than ever. On this episode of Tech Tab, hosts Ryan Carson and Bob Duffy dive into the latest innovations and strangest trends with leaders from MagicPath and Creator Buddy. #IAmIntel https://t.co/3PaByHs90h

[Intel Devs @inteldevs]

No CUDA. No low-level languages.

Triton now runs on Intel GPUs—custom GPU kernels in a few lines of Python.
Just open a Jupyter notebook and go.

AI with Guy shows how:
https://t.co/B3RdJyO27Z
#Triton #IntelGPUs #OpenSource

[Jack Erickson @JackErickson_]

Looking to deploy your @PyTorch models in C++ applications? AOTInductor makes it easy, and is now supported on Intel GPUs in PyTorch 2.7. Learn how to get started: https://t.co/zEIwcKkVZo

[Intel Devs @inteldevs]

We’re advancing healthcare, one innovation at a time.
By combining AI and quantum machine learning, we’re helping turn real-time brain MRI analysis into reality — and opening new possibilities for diagnosis and care.

See how we’re making it happen: https://t.co/bgaavMkiyg

[PyTorch @PyTorch]

PyTorch Foundation has expanded into an umbrella foundation. @vllm_project and @DeepSpeedAI have been accepted as hosted projects, advancing community-driven AI across the full lifecycle.

Supporting quotes provided by the following members: @AMD, @Arm, @AWS, @Google, @Huawei, @huggingface, @IBM, @Intel, @LightningAI, @Meta, @NVIDIA, and @Snowflake.

🔗💡 Read the full announcement: https://t.co/l55YFhlAOx

#PyTorchFoundation #PyTorch #OpenSourceAI #vLLM #DeepSpeed

[Intel Devs @inteldevs]

Automated prompt engineering on-device—no fine-tuning, no RAG.

This new guide shows how to use #DSPy with Intel #oneAPI and llama.cpp to boost task accuracy from 📉 35% → 📈 78%

Run LLMs locally, optimize efficiently.

Read the guide → https://t.co/NgkfQn9kMw

[Intel Devs @inteldevs]

Llama 4 is now optimized on Intel hardware.

• Run Maverick on a single Gaudi 3 node with 8 accelerators
• Deploy MoE models with Xeon 6 + Intel AMX
• Serve reliably with Xeon support integrated with SGLang

Explore full insights:
https://t.co/gYtPi5qmXw

#Llama4

[PyTorch @PyTorch]

Learn how #PyTorch 2.7 and @Intel GPUs can accelerate your #AI workloads on Windows and Linux.💡 Read the latest blog from the Intel PyTorch team: https://t.co/JOiHw2Xa7M

[Intel Devs @inteldevs]

With insights from Intel AI DevSummit 2025, Ramya Ravi shares key considerations for fine-tuning and self-hosting large language models.

Read the blog: https://t.co/axzQuo26r3

[Jack Erickson @JackErickson_]

Learn how to get started running on Intel Gaudi AI accelerators using models from Hugging Face Hub https://t.co/iKJTnANC3w #IamIntel

[Intel Devs @inteldevs]

@intel's Parallel Universe Magazine Issue 58 is now available! 🎉

Discover how Intel® oneAPI, Intel® Extension for Scikit-learn, Intel® Tiber�� AI Cloud, and Intel® GPUs are driving innovation.

📖 Read the full issue: https://t.co/20JJnZsW1F

[Intel News @intelnews]

Intel Xeon processors and Gaudi 3 accelerators support Meta’s Llama 4 herd 🦙, designed for more personalized multimodal experiences.

Developers can leverage optimized support across PyTorch, Hugging Face, vLLM and OPEA for easier AI deployment. https://t.co/xhYlEht8lg

[Intel Devs @inteldevs]

Unlock performance and productivity for #GenAI, Visual AI, and #HPC with the #oneAPI and AI Tools 2025.1

Find out more: https://t.co/VY0rhRVWE1

[Susan Kahler @SusanKahler3]

Bridging the Radiology Gap: Xeon Speeds Cancer Care Amid Staff Shortages #IAmIntel https://t.co/5CrB9PCM97

[Intel Devs @inteldevs]

The 2025.1 @intel Software developer tools are here! Built on #oneAPI and optimized for Intel #Xeon 6 & Core Ultra processors, these tools enhance #AI performance, improve #HPC efficiency, and deliver advanced visual AI & gaming.

Learn more: https://t.co/5cADKwtvE2

[Susan Kahler @SusanKahler3]

Intel Accelerates AI at the Edge Through an Open Ecosystem #IAmIntel https://t.co/6jft07vG36

[PyTorch @PyTorch]

Explore how PyTorch and DINOv2 power multi-label plant species classification in our upcoming webinar with @intel's Murilo Gustineli on March 27 at 12 PM PST.

👋 Register today: https://t.co/DnLc3vahrN

🌱 Learn how self-supervised Vision Transformers (DINOv2), PyTorch Lightning, and Apache Spark enable efficient feature extraction and model training on 1.4M+ images from the PlantCLEF 2024 challenge. Gain insights into image processing, computational optimizations, and performance improvements.

#pytorch #machinelearning #optimization

[Ramya Ravi @Ramya_ravi19]

Come join us at the Intel AI DevSummit 2025 on February 26 & 27! Enhance your AI skills and connect with the global community. Save your FREE spot now. Sign Up Here: https://t.co/Wf29uYx4ZW
#IntelAIDevSummit #AIDevelopment #AI2025 #Developers #weareintel

[Intel Devs @inteldevs]

Join us to learn how to build local #AI agents for various applications on #IntelCoreUltra processors. In this upcoming workshop, we’ll guide you through the core principles and architectures of local agents and give you hands-on experience building them. https://t.co/Ponah4362t

[Susan Kahler @SusanKahler3]

Exciting news! torch.compile now works on Windows CPU. Read the blog and access the tutorial.
https://t.co/S73hg0uTEc

#PyTorch #Windows #iamintel