The newly independent company is set to lead in computer vision and machine perception for physical AI and beyond RealSense, a pioneer in AI-powered computer vision, today announced its successful spinout from Intel Corporation and the close of a $50 million Series A funding round. With investment led by a renowned semiconductor private equity firm…
New offering combines AI Noise Cancellation, AI Accent Conversion, AI Live Interpreter, and Agent Assist into one powerful solution Krisp, the leader in AI-powered voice technology, announced today the launch of its real-time Voice AI Platform for call centers. Unveiled at CCW Vegas, the new platform offering marks a turning point in how contact centers…
HPE drives AI innovation with modular AI factory solutions powered by NVIDIA Blackwell, fueled by HPE Alletra Storage MP, and optimized to deploy and scale across enterprises, service providers, sovereign entities, and model builders HPE Private Cloud AI adds investment protection, air-gapped management, and HPE ProLiant Compute Gen12 servers with the NVIDIA RTX PRO 6000…
Google DeepMind recently released GenAI Processors, a lightweight, open-source Python library built to simplify the orchestration of generative AI workflows—especially those involving real-time multimodal content. Launched last week, and available under an Apache‑2.0 license, this library provides a high-throughput, asynchronous stream framework for building advanced AI pipelines. Stream‑Oriented Architecture At the heart of GenAI Processors…
Density Functional Theory (DFT) serves as the foundation of modern computational chemistry and materials science. However, its high computational cost severely limits its usage. Machine Learning Interatomic Potentials (MLIPs) have the potential to closely approximate DFT accuracy while significantly improving performance, reducing computation time from hours to less than a second with O(n) versus O(n³)…
Kimi K2, launched by Moonshot AI in July 2025, is a purpose-built, open-source Mixture-of-Experts (MoE) model—1 trillion total parameters, with 32 billion active parameters per token. It’s trained using the custom MuonClip optimizer on 15.5 trillion tokens, achieving stable training at this unprecedented scale without the typical instabilities seen in ultra-large models. Unlike traditional chatbots, K2 is architected…
Introduction to Embodied AI Agents Embodied AI agents are systems that exist in physical or virtual forms, such as robots, wearables, or avatars, and can interact with their surroundings. Unlike static web-based bots, these agents perceive the world and act meaningfully within it. Their embodiment enhances physical interaction, human trust, and human-like learning. Recent advances…
Understanding the Link Between Body Movement and Visual Perception The study of human visual perception through egocentric views is crucial in developing intelligent systems capable of understanding & interacting with their environment. This area emphasizes how movements of the human body—ranging from locomotion to arm manipulation—shape what is seen from a first-person perspective. Understanding this…
This post provides the theoretical foundation and practical insights needed to navigate the complexities of LLM development on Amazon SageMaker AI, helping organizations make optimal choices for their specific use cases, resource constraints, and business objectives. We also address the three fundamental aspects of LLM development: the core lifecycle stages, the spectrum of fine-tuning methodologies,…
This post is co-written with Zhanghao Wu, co-creator of SkyPilot. The rapid advancement of generative AI and foundation models (FMs) has significantly increased computational resource requirements for machine learning (ML) workloads. Modern ML pipelines require efficient systems for distributing workloads across accelerated compute resources, while making sure developer productivity remains high. Organizations need infrastructure solutions…