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At its heart, LOBSTgER operates within the intersection of art, science, and engineering. The project draws within the visual language of photography, the observational rigor of marine science, along with the computational energy of generative AI. By uniting these disciplines, the staff is not merely producing new strategies to visualise ocean lifestyle — Also they are reimagining how environmental stories can be advised.
For Analog Devices’ Alan Lee, achievement is calculated in tangible enhancements that travel efficiency and solution innovation: “For us at ADI, it’s an even better, more quickly high quality of encounter for our consumers, and that would necessarily mean superior solutions.
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Like early photography, AI opens a creative and conceptual Place, demanding how we define authenticity And exactly how we talk scientific and creative perspectives.
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The scientists propose that pictures and generative AI kind a continuum, as opposed to a conflict. Pictures captures what on earth is — the texture, light-weight, and animal habits all through real encounters — even though AI extends that eyesight beyond exactly what is witnessed, toward what can be comprehended, inferred, or imagined dependant on scientific information and website creative vision. Alongside one another, they provide a robust framework for communicating science through image-earning.
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MIT CSAIL researchers combined GenAI click here in addition to a physics simulation motor to refine robot models. The end result: a machine that out-jumped a robot built by people. June 27, 2025 Browse total Tale →
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Underwater photography in New England’s coastal waters is notoriously challenging. Restricted visibility, swirling sediment, bubbles, as well as the unpredictable movement of marine lifestyle all pose continuous challenges. For your previous many a long time, Ellenbogen has navigated these issues and is constructing a comprehensive file of the region’s biodiversity in the task, Place to Sea: Visualizing New England’s Ocean Wilderness.
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