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Award-winning photojournalist, Karim Ben Khelifa, is widely known for his coverage of the Middle East conflicts, especially the Iraq and Afghan wars, where he covered the insurgent sides. While a Fellow at the Open Documentary Lab at MIT, Ben Khelifa designed and prototyped his latest project The Enemy. This immersive installation uses VR to bring the audience into conversations between enemies within longstanding global conflicts. During his residency, he collaborated with Fox Harrell of the Imagination, Computation and Expression (ICE) Laboratory, to integrate concepts from cognitive science and Artificial Intelligence-based interaction models into the project to engender empathy.
The AI for Science Town Hall at Argonne brought together the DOE science community to engage in a series of broad and open discussions about opportunities that can be realized by advancing and accelerating the development of AI capabilities for science.
The town halls aim to address critical research and facility challenges, including the application of AI in various scientific domains, data analysis and management, automation and control of experiments, algorithms and mathematical foundations, challenges of scale within and across data sets, and emerging computer and system level architectures.
These town halls will frame the overall opportunities and the needed research and facilities advancements need to drive AI-related agendas in alignment with DOE missions.
QODE Brisbane, QLD Australia. Australasia’s leading global forum for innovation & technology held at Brisbane Convention and Exhibition Centre. QODE Central Day One in Brisbane focusing on the technologies that are set to have the biggest impact in our working and private lives: Artificial Intelligence (AI), Smart Robotics, Cyber Security, Next Generation Transport, Smart City tech and Space.
M-Air is a 10,000 sq ft, four-story, netted scientific facility that enables the study of autonomy and collaborative robotics in the “wild”, with emphasis on dealing with the full range of Michigan weather, -30C to 38C, with rain, sleet, wind, and snow.
Photo: Levi Hutmacher/Michigan Engineering, Communications & Marketing
This collection presents a breathtaking journey through the intricate details of the natural world, captured through the lens of advanced generative synthesis. From the delicate architecture of a dew-covered spiderweb nestled among vibrant green leaves to the primeval elegance of an unfurling fern frond (fiddlehead), each image celebrates the hidden patterns of life. The series transitions through atmospheric moments: the crystalline clarity of raindrops on a deep crimson rose, the resilience of moss capsules rising from a damp forest floor, and the stark, alien beauty of a Venus flytrap. By blending soft bokeh backgrounds with sharp, textural focus on veins, petals, and needles, these visuals evoke a deep sense of calm and appreciation for organic forms, bridging the gap between digital art and environmental photography.
Disclaimer:
These images were generated by Artificial Intelligence.
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Facilities Integration.
Led by Mike Papka and Arjun Shankar.
Members of this group focused on facility needs for AI integration now and in the future.
The AI for Science Town Hall at Argonne brought together the DOE science community to engage in a series of broad and open discussions about opportunities that can be realized by advancing and accelerating the development of AI capabilities for science.