RT @OpenBMB: 🚀 Big AI models don’t always need powerful servers- MiniCPM Client is now available, and it runs smoothly even on lightweight….

RT @ComfyUI: Exciting update for ComfyUI users on Intel hardware!. - The new OpenVINO custom node is now available for ComfyUI.- Unlock fa….

The latest Intel #oneAPI Base Toolkit offers a powerful open development stack for #AI, #HPC, and accelerated computing:. • new oneDNN optimizations for faster AI inference from data center to PC.• real-time image processing and display for rendering and data visualization.•

Stop just taking notes on customer calls. Start extracting decisions. Find out how Mohamed F. Ahmed uses AI to extract key insights to steer the conversation with potential customers. Keen to find learn more? .#AIHacks

Catch a sneak peek from the DevCon workshop, then dive into the full session on demand. From GenAI on edge devices to real-world demos and hardware insights — it’s all here. Watch the OpenVINO toolkit AI Programming Workshop now:

Tools 2025.2:. Scale, optimize and streamline execution with comprehensive highly integrated parallelism. One solution for AI and HPC through seamless interoperability between #MPI, #OpenMP, #SYCL, #PyTorch, #Vulkan, #DirectX and more. Scalable parallel framework

Built by @laion_ai.Powered by @intel .Open to the world. Explore the datasets and try the models yourself:

EmoNet isn’t just another benchmark. It’s a new baseline for how we train AI to interpret emotion, not flatten it. It makes space for:.Real evaluation, not leaderboard chasing.Emotional signals across languages, cultures, and contexts.Models that respond like they’re listening,.

It gets better: we didn’t stop at classification. With BUD-E Whisper, we're going beyond transcription to emotion captioning. The model detects emotional tone, vocal bursts (sighs, laughter), and speaker traits from raw speech.

Why synthetic data?. No privacy issues.Full demographic control.Massive scalability.More ethical training sets. This is how we generated over 203K facial images and 5K hours of speech with real, measurable emotional intent.

And we built models to match. The Empathic Insight-Face model beats Gemini 2.5 Pro and Hume AI on our facial emotion benchmarks. It tracks closely with human annotators across 40 emotions.

Emotion is complex. So we didn’t settle for “basic” emotions. EmoNet’s taxonomy includes states like: shame, doubt, pride, fatigue, teasing, even intoxication. It’s built on the Handbook of Emotions and refined with psychologists.

We’ve done it differently with EmoNet-Voice:. 5,000+ hours of synthetic voice-acted emotion.40 emotion categories.4 languages.Openly licensed.Expert-verified benchmark for real evaluation. In so many vital ways, a major step forward.

Let’s start with the problem. Here’s what most speech emotion datasets look like:. Tiny datasets.Coarse labels ("happy," "sad").Narrow speaker demographics.No multilingual support.Often closed license, which makes follow-up and iterative improvements difficult to say the least.

It’s called EmoNet: a new open source benchmark + model suite for emotion recognition in speech and facial expressions. This is emotion recognition designed the right way round for once: starting with nuance, not reduction.

Emotion isn't binary. It’s messy. Contradictory. Cultural. And we’re finally building AI that can see and hear that.

Modern computing careers begin in the classroom. The Intel Educator Program helps instructors prepare students with the tools and techniques used in today’s high-performance development environments. Explore how to integrate this into your course delivery:

Intel’s 2025.2 developer tools boost performance and productivity for AI, HPC, and visual applications. Built on #oneAPI, they deliver high performance and flexibility across Intel #Xeon 6 and Core Ultra processors, GPUs, and other accelerators. Learn more:

We just dropped 3 new on-demand AI webinars—covering performance, scalability, and what’s next for OpenVINO™. Watch now + see what’s coming:.

ABM isn’t just for big teams anymore. Imagine building custom assets including landing pages and product messaging, for one account using AI. You no longer have to just imagine. Find out more here: #AIHacks