The FDA has launched “Elsa,” an AI initiative aimed at streamlining scientific review processes, following a directive from Commissioner Makary to fully integrate AI by June 30, 2025. Elsa enhances efficiency by reducing lengthy review tasks to mere minutes, facilitating adverse event summaries, label comparisons, clinical protocol reviews, and safety assessments. This generative AI tool promises to minimize time-consuming, repetitive tasks, thus expediting the approval of new therapies—an effort alongside the FDA’s initiative to phase out animal testing. Powered by large language models in a secure GovCloud environment, Elsa ensures data privacy without leveraging industry-submitted data. The FDA emphasizes that AI will continue to shape regulatory practices, highlighted by two draft guidance documents released earlier this year on AI-enabled software and drug submissions. McDermott will monitor the implications of this AI rollout on review times and regulatory processes. For inquiries, contact McDermott’s Food, Drug & Medical Device Regulatory Group.

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Microsoft’s Modern Solutions & Support (MSS) team is revolutionizing technical support through generative AI. They developed a semantic search tool to streamline support resources, initially inspired by the need to manage extensive documentation. Following the rapid emergence of ChatGPT, the team leveraged Microsoft Azure OpenAI to create Modern Work GPT (MWGPT), enabling efficient content curation for over 300,000 items related to Microsoft Teams and other solutions. To ensure quality and responsible AI deployment, they established an “8 Ds” framework focusing on diversity, data relevance, intuitive design, and rigorous testing. The framework guides the development of agentic AI, empowering support engineers to make informed decisions, thus enhancing customer experiences. Key takeaways emphasize thorough document curation, consistent feedback from subject matter experts, and effective change management strategies. As AI continues to evolve, Microsoft aims to integrate these insights into various business disciplines, fostering a future of collaborative human-AI support.

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CoreWeave has committed to investing $6 billion in AI data centers, aiming to enhance its position in the rapidly growing artificial intelligence market. This strategic investment intends to support high-performance computing and cloud services, catering to increased demand for AI capabilities across various sectors. CoreWeave’s primary goals include bolstering infrastructure for AI workloads, promoting innovation, and ensuring scalability for future demands. By focusing on advanced technologies, the company seeks to provide cost-effective solutions that empower businesses to leverage AI efficiently. The investment will also facilitate partnerships with tech innovators, enhancing CoreWeave’s offerings and market reach. This move positions CoreWeave as a key player in the AI landscape, ensuring it meets the needs of evolving industries while driving forward AI advancements. As demand for AI continues to surge, the new data centers will support a robust ecosystem, providing essential resources and infrastructure for AI development and deployment.

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AI technology is transforming web development by enhancing productivity and streamlining processes across industries. Developers are increasingly relying on AI tools to deliver client solutions efficiently, though concerns about potential job displacement persist. Currently, AI supports developers in several ways, including:

1. Website Builders: AI tools like Wix ADI simplify the website creation process without requiring extensive coding knowledge.
2. Code Generation: Automation tools like GitHub CoPilot improve coding efficiency by generating quality code suggestions.
3. UI/UX Design: AI software assists in creating faster, innovative designs while still relying on human creativity for unique solutions.
4. AI Testing: These tools enhance application testing, identifying edge cases and improving user experience.

While AI offers advantages such as faster development and improved accessibility, it remains limited in creativity and problem-solving abilities. Developers must embrace AI, understand its workings, and become cross-functional to remain relevant in an evolving digital landscape. AI complements rather than replaces human expertise.

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