ఐఐటీ బాంబే, ఐఐటీ మద్రాస్ మరియు ఐఐఐటి హైదరాబాద్ పరిశోధకులు కలిసి ఆంగ్లం నుండి అనేక భారతీయ భాషలకు స్పీచ్-టు-స్పీచ్ యాంత్రిక అనువాదం (SSMT) వ్యవస్థను రూపొందించారు.
Researchers have identified a new species of giant deep-sea squid, Taningia silasii, from the southeastern Arabian Sea.
India's poorest students are closing the STEM gap, but a strong gender bias and the high cost of private colleges continue to block equitable access to 'high-value' science and technology degrees.
Researchers found that the Gaussian Process Regression (GPR) machine learning model is the most reliable tool for forecasting seasonal Global Horizontal Irradiance (GHI), an important parameter for assessing the available solar resource.
The study showed that control for singlet fission lies not in the energy of individual molecules, but in the distance and electronic coupling of the molecular paired structure.
Researchers found that urban female sparrows invest more time and energy into parental care than their rural counterparts, yet have significantly lower reproductive success.
Researchers at IIT Bombay analysed the electrolyte flow and debris removal dynamics to demonstrate how Ultrasonic-Assisted Electrochemical Discharge Machining (UA-ECDM) can overcome the deep debris problem in microhole drilling for improved fabrication in brittle materials.
आईआईटी मुंबई के शोधकर्ताओं ने भंगुर पदार्थों में सूक्ष्म छेद करते समय गहराई में जमा होने वाले पदार्थ के अवशेषों की समस्या को दूर करने के लिए इलेक्ट्रोलाइट के प्रवाह और अवशेष हटाने की गतिशीलता का विश्लेषण किया और दर्शाया कि अल्ट्रासोनिक-असिस्टेड इलेक्ट्रोकेमिकल डिस्चार्ज मशीनिंग (UA-ECDM) कैसे इसका समाधान करता है
आयआयटी मुंबई येथील संशोधकांनी इलेक्ट्रोलाइटचा +प्रवाह व ज्या पदार्थामध्ये छिद्रे पाडली जातात त्या पदार्थाचे अवशेष काढून टाकण्याच्या प्रक्रियेचे विश्लेषण करून अल्ट्रासॉनिक-असिस्टेड इलेक्ट्रोकेमिकल डिसचार्ज मशीनिंग (UA-ECDM) प्रक्रिया सूक्ष्मछिद्रांतील अवशेष काढण्याच्या समस्येवर मात करू शकते व त्यामुळे ठिसूळ पदार्थांच्या वस्तूची निर्मिती प्रक्रिया सुधारू शकते हे सिद्ध केले.
Deep learning models applied to drone images offer a fast, accurate, and scalable alternative to costly manual tree surveys.
