High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, sequence design, and live-cell screening together to enable rapid conversion ...
Progress against fraud depends on shared accountability, a common language for risk tolerance and ongoing feedback loops.
Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...
Although there’s broad agreement that AI demands high-quality, well-governed data, the research indicates that AI inference data is often poorly governed, inadequately classified and rarely backed up.
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
In the golden hills of Puglia, a southern region of Italy known today for its olive trees, white cliffs and turquoise mediterranean coves, Lorenzo Avello has artificial intelligence on his mind.
Non-animal framework based on new approach methodologies (NAMs) for chemical hazard identification and risk assessment. The framework comprises three modules: (1) high-throughput screening to address ...
1 China Southern Power Grid Guizhou Power Supply Co., Ltd, Guangzhou, Guizhou, China 2 Dongfang Electronics Co., Ltd, Yantai, Shandong, China A data-driven framework was proposed in this paper to ...
Oct 31 (Reuters) - Shares of data storage companies such as Seagate (STX.O), opens new tab and Western Digital (WDC.O), opens new tab have sharply outperformed the broader market this year, powered by ...
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