When Marc and Cristina Easton’s son was diagnosed with autism at 20 months, the Baltimore couple left the doctor’s ...
Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
A research team reports that black carbon formed during crop straw burning can significantly reduce the spread of antibiotic resistance genes (ARGs) ...
Buying a new television can be tough, given there's so many variables to consider. However, these are the most important ...
C compiler, LustreC, into a generator of both executable code and associated specification. Model-based design tools are ...
Introduction Implementation of low-intensity, evidence-based psychological interventions can help meet the mental health and ...
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
The input of fresh carbon can either enhance or suppress the mineralization rate of native soil organic carbon (SOC), a ...
The future of Nigeria’s innovation depends on what we allow our children to experience today. The time to bring science to ...
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Gemini's deep research transforms reports with dynamic visuals and interactive simulations
Gemini's Deep Research feature can now build interactive visual reports from its findings, but only for Google AI Ultra ...
The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...
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