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News
Video Generation Evaluation
2+ day, 22+ hour ago (477+ words) MOTION REVIEWED, QUALITY ASSURED iMerit evaluates every AI-generated clip for risk and quality, giving you a controlled path from experimentation to production. AI videos can introduce jump cuts, broken continuity, unstable motion, and inconsistent character behavior. Human review ensures the…...
Scaling Voice AI for Agriculture
1+ week, 5+ day ago (219+ words) Supported across India & Africa Digital Green is building Farmer.Chat, an AI-powered assistant designed to support smallholder farmers with real-time agricultural advice. The system enables users to submit queries via voice, text, or images in native languages, addressing diverse crops…...
EXL Completes Acquisition of iMerit, Accelerating Enterprise AI Leadership
2+ week, 5+ day ago (123+ words) iMerit founder and CEO Radha Ramaswami Basu joins EXL executive committee The completion of the acquisition establishes an end-to-end AI platform for enterprises, uniting EXL’s deep data, context and AI expertise with iMerit’s technology, expert-led solutions and generative AI experience…...
Scientific AI and Autonomous Labs
3+ week, 3+ day ago (154+ words) BUILD THE EXPERT FEEDBACK LOOP FOR THE LAB OF TOMORROW NEEDS MORE THAN AUTOMATION Turn raw lab outputs into structured learning signals. Help reasoning models plan better experiments. iMerit creates RLHF and RLTF-style feedback signals that assess whether an AI…...
With GenAI the need for humans in the loop has gone up thousand-fold, says iMerit CEO Radha Basu
4+ week, 20+ hour ago (992+ words) The question I keep coming back to is not whether AI can help. It clearly can; but the real question is who gets access to it says Basu. Radha Ramaswami Basu is a pioneering tech entrepreneur whose career spans enterprise…...
Scientific AI Needs Expert Feedback Loops
1+ mon, 1+ week ago (565+ words) Autonomous labs are moving scientific AI closer to the physical process of discovery. The promise is clear: faster experimentation, better reproducibility, fewer manual bottlenecks, and more useful scientific data. But there is a challenge at the center of this shift:…...