Tesla unleashes its robots!

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Tesla Optimus robot does yoga: Next-level AI unveiled

Tesla has unveiled a humanoid robot called Optimus in a video demonstration. The robot showcased its abilities by autonomously sorting objects by color and performing yoga poses with impressive adaptability, balance, and flexibility. Optimus operates on an end-to-end neural network technology similar to Tesla's cars, allowing it to process video input and generate control output. While the video did not specify production or commercial plans, Tesla's goal is to create a versatile humanoid robot for tasks considered unsafe, repetitive, or boring. The demonstration raises intriguing questions about the future of robotics and automation, indicating Tesla's involvement in shaping this future.

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Anthropic expanding access to safer AI with Amazon

Amazon is investing up to $4 billion in Anthropic as part of a collaboration to develop reliable and high-performing foundation models. Amazon Web Services (AWS) will become Anthropic's primary cloud provider, offering access to AWS Trainium and Inferentia chips for model training and deployment. AWS will expand support for Amazon Bedrock, enabling secure model customization. Developers and engineers at Amazon will use Anthropic's models via Amazon Bedrock to enhance applications and create new customer experiences. Various organizations are already using Anthropic models, including LexisNexis Legal & Professional, Bridgewater Associates, and Lonely Planet. Both companies are committed to responsible AI development and have supported safety initiatives in the industry. Amazon will take a minority stake in Anthropic, and the corporate governance structure will remain unchanged. This investment will help Anthropic advance AI safety and research with the support of Amazon's resources.

AI-driven tool makes it easy to personalize 3D-printable models

MIT researchers have created Style2Fab, an AI tool for 3D printing that lets users easily add custom design elements to 3D models. It uses natural language prompts to describe design preferences, preserving functionality while enhancing aesthetics. This tool benefits both novice and experienced makers, with potential applications in medical devices. Future plans include fine-tuning physical properties and enabling users to create custom 3D models from scratch. The research was supported by MIT-Google and used MIT facilities.

Announcing Microsoft Copilot, your everyday AI companion

Microsoft is entering a new era of AI with the introduction of Microsoft Copilot, an everyday AI companion. Copilot integrates web context, work data, and real-time PC activities to provide seamless assistance across Windows 11, Microsoft 365, Edge, and Bing. It offers a unified experience with a focus on privacy and security. The rollout of Copilot begins on September 26 with Windows 11 and extends to Bing, Edge, and Microsoft 365 in the fall. The next Windows 11 update will introduce over 150 new features, including AI-powered enhancements to various apps. Bing will feature support for OpenAI's DALL.E 3 model, personalized search results, an AI-powered shopping experience, and improvements to Bing Chat Enterprise. Microsoft 365 Copilot and Microsoft 365 Chat will be available for enterprise customers on November 1, 2023. Microsoft also unveiled new Surface devices designed to complement these AI experiences, with pre-orders now available.

A pose-mapping technique could remotely evaluate patients with cerebral palsy

MIT engineers have developed a remote method for evaluating patients' motor function using computer vision and machine learning. The technology analyzes real-time videos of patients and computes a clinical score based on detected patterns of poses. It was tested on over 1,000 children with cerebral palsy, achieving over 70% accuracy compared to in-person clinician evaluations. This remote assessment can be conducted using mobile devices, enabling patients to record videos at home, which are then analyzed and sent to doctors for review. The researchers are also adapting the method for assessing other neurological disorders, such as metachromatic leukodystrophy and stroke. The goal is to reduce the need for frequent in-person evaluations and improve patient care.

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