DeepWisdom has recently introduced Bohr·Scientific Space (currently in public beta), a desktop-centric work environment meticulously crafted to seamlessly integrate local and cloud-based scientific data, computational tools, and experimental resources. This innovative platform integrates AI-driven scientists across diverse disciplines, facilitating a comprehensive research journey that spans from scientific inquiry and hypothesis validation to the generation of tangible outputs.

During the initial investigation phase, Bohr·Scientific Space adeptly retrieves and organizes pertinent literature surrounding research queries, constructing structured research outcomes to assist scientists in formulating hypotheses and experimental blueprints. As the research progresses into the execution phase, AI scientists autonomously dissect tasks and allocate resources for computational simulations, while experts from various disciplines contribute their expertise to real-world research endeavors within their respective domains.

In the final output phase, writing and review assistants step in to streamline paper organization and content verification processes. The platform empowers AI to undertake genuine research tasks through a combination of scalable scientific elements, multimodal knowledge comprehension, intelligent agent orchestration frameworks, and collaborative evolution mechanisms. It caters not only to individual researchers but also functions as a collaborative hub for research institutions.

Furthermore, DeepWisdom has launched the "Bohr 107 Program," an initiative aimed at soliciting significant scientific questions and providing robust research support. The program's overarching goal is to leverage AI to handle mundane and repetitive tasks, thereby enabling scientists to dedicate more of their energy and focus to scientific creativity and innovation.