The study addresses a common challenge in sustainable waste management: real-time classification of household waste under ...

Passages are pulled from documents that rank for the query set and then classification ... The diagram in FIG. 7 from the Instruction Fine-Tuning Machine-Learned Models Using Intermediate ...

A new technical paper titled “Machine Intelligence on Wireless Edge Networks” was published by researchers at MIT and Duke ...

Built on Snowflake architecture, the platform has increased ... combines it with anonymized third-party datasets, and applies machine learning (ML) and advanced algorithms to generate credit ...

BIG and dencityworks | architecture shared renderings of 175 ... and Powerhouse Arts buildings. The mixed-use tower’s coarse facing echoes these masonry buildings. The horseshoe geometry is ...

Seeing a chance to help the cause, some of the biggest names in AI and machine learning—a discipline ... like reconstructing past climate conditions using data collected from things like ice ...

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

and most of the time, plastic containers and disposable cutlery are used, generating huge amounts of waste. We want to change and avoid the ‘use and throw' concept.

New Delhi: Researchers at IIT-Guwahati have developed an eco-friendly alternative to conventional wastewater treatment methods by combining biochar derived from Spent Mushroom Waste and laccase ...