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IIT Guwahati researchers tackle Wikipedia errors to improve AI models
IIT Guwahati researchers developed a multilingual, scalable method to find and fix Surface Name Errors in Wikipedia. The method, using frequency patterns, was validated across eight languages and ...
A Coma Pattern-Based Autofocusing Method Resolves Bacterial Cold Shock Response at Single-Cell Level
Imaging-based single-cell physiological profiling holds great potential for uncovering fundamental bacterial cold shock response (CSR) mechanisms, but its application is impeded by severe focus drift ...
A new study claims an IQ decline in Gen Z, sparking debate. Experts discuss causes like screen time, while others point to a ...
Artificial intelligence and robotics are no longer experimental fields confined to research labs. They are shaping economies, redefining industries, and influencing daily life at global scale. Behind ...
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Generative chatbots promise personalized education at scale but struggle with accuracy issues
Personalized learning is a very effective teaching method, but its potential is limited due to resource constraints. In a small, in-person class, instructors can walk around, engage with students ...
print("hello world, I'm learning Python"!) ...
Leveraging expertise from leading research institutions, the company is developing the AI platform technical organizations will rely on to design, verify, and deploy complex hardware systems at scale.
More than 4 in 10 adults in the UK are happy to use ChatGPT for their mental health support, new research suggests. The study, led by Bournemouth University surveyed nearly 31,000 adults in 35 ...
Dr. B.J.C. Perera (Dr. BJCP) in his article ‘The Education cross roads: Liberating Sri Lankan classroom and moving ahead’ asks the critical question that should be the bedrock of any attempt at ...
Human–elephant conflict (HEC) in Sri Lanka results in significant loss of human life, elephant deaths, and extensive damage to crops and property. Despite numerous interventions over the decades, the ...
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Axiomatic AI Raises $18M to Build the Intelligence Infrastructure for Verified Science & Engineering
Leveraging expertise from leading research institutions, the company is developing the AI platform technical organizations will rely on to design, verify, and deploy complex hardware systems at scale.
Standard Kernel Raises $20M to automate GPU kernel generation, maximising performance and efficiency across AI workloads.
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