Adobe’s new AI tool is ‘Photoshop’ for music

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Adobe’s new AI tool is ‘Photoshop’ for music

Adobe unveils its latest AI innovation, Project Music GenAI Control, a tool allowing users to effortlessly create and edit music using text prompts. The proprietary technology offers unprecedented control over music generation, empowering users to adjust parameters like tempo, intensity, repeating patterns, and structure. Gautham Mysore, Adobe's head of audio and video AI research, emphasizes the tool's accessibility, enabling users to manifest musical ideas without requiring advanced composition skills. Developed in collaboration with the University of California and Carnegie Mellon University's School of Computer Science, Project Music GenAI Control is described as an early-stage experiment, indicating potential integration into Adobe's existing tools like Audition or Premiere Pro in the future. The tool sets a new standard by providing creatives with pixel-level control over audio, akin to Photoshop's precision in image editing. [Link]

Alibaba's EMO: AI turns photos into realistic talking and singing videos

China's Alibaba Institute for Intelligent Computing introduces EMO, an innovative AI system capable of animating static portrait photos into lifelike talking and singing videos. Utilizing a direct audio-to-video synthesis approach, EMO bypasses the need for 3D models, ensuring fluid facial movements that closely match provided audio. Trained on an extensive dataset, EMO outperforms existing methods in video quality, identity preservation, and expressiveness. The system's capabilities extend to generating singing videos with synchronized mouth shapes and facial expressions. While presenting exciting possibilities for personalized content creation, ethical considerations arise regarding potential misuse, emphasizing the importance of responsible development and safeguards for this transformative AI technology. [Link]

Intel and Nvidia target AI workstations with latest Systems-on-a-Chip

Intel and Nvidia Target AI Workstations with Latest Systems-on-a-Chip" Intel and Nvidia have unveiled new systems-on-a-chip (SoCs) designed for AI workstations, addressing the growing demand for AI-driven tasks in corporate environments. Nvidia introduced lightweight RTX 500 and RTX 1000 GPUs for mobile workstations, equipped with AI acceleration capabilities. Intel launched the Core Ultra processor with a built-in GPU, catering to AI processing and ray tracing. As businesses increasingly integrate AI into various workflows, these advancements aim to enhance the capabilities of workhorse computers, supporting tasks such as modeling, graphics creation, video editing, and more. Analysts anticipate a rise in AI PC shipments, constituting 60% of global PC shipments by 2027, reflecting the industry's shift towards specialized SoCs for AI workloads. [Link]

MIT's LIDS receives funding for AI-Driven smart grid modeling project

MIT's Laboratory for Information and Decision Systems (LIDS) secures $1,365,000 in funding from the Appalachian Regional Commission for its participation in the "Forming the Smart Grid Deployment Consortium (SGDC) and Expanding the HILLTOP+ Platform" project. Led by Kalyan Veeramachaneni, the initiative focuses on developing generative AI models for customer load data to enhance smart grid modeling. Collaborating with universities and organizations across multiple states, the project aims to deploy smart grid technologies in a virtual environment, offering rural electric utilities and energy tech startups a platform to test and mitigate risks associated with new technologies. The project underscores the transformative potential of generative AI in the energy sector. [Link]

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