For the past 10 years, we have been working on using AI to solve real-world problems,” Daisuke Okanohara of Preferred Networks told CNBC’s “Managing Asia.”
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Interesting Engineering on MSNFusion plasma prediction gets 1,000x boost with Korea’s new deep learning modelScientists have developed a deep learning–based approach that boosts plasma prediction on nuclear fusion by 1,000 times. The approach accelerates the computation of a nonlinear Fokker–Planck–Landau (FPL) collision operator for fusion plasma.
Smarter Decisions, Better Results At the heart of THSYU Exchange is its proprietary AI-driven trading engine, designed to empower users with intelligent investment tools. Leveraging deep learning and real-time big data analytics,
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News Medical on MSNAI and deep learning transform diagnosis of oral potentially malignant disordersOral cancer remains a serious global health concern due to its high morbidity and mortality rates, primarily caused by late-stage diagnosis. The presence of oral potentially malignant disorders (OPMDs) provides an opportunity for early intervention,
These days, artificial intelligence is everywhere. From the very first Roomba to the most advanced form of AI “deep learning,” the act of
As part of the conference, AIRS Medical will host an AI Theater presentation exploring the role of deep learning in MRI reconstruction and clinical decision-making. This session will take place February 28 at 11:40am CET.
Drug safety failures are a leading cause of clinical trial failures, preventing over 56% of drugs from reaching patients and costing the pharmaceutical industry more than USD 400 billion annually. Ignota Labs addresses this issue by applying deep learning,
DeepTempo today announced new capabilities for Tempo, its deep learning-powered cybersecurity solution available as a Snowflake Native App on the Snowflake Marketplace. With enhanced fine-tuning, MITRE mapping integration,
Generative artificial intelligence refers to deep learning models that can generate content such as images, code, text, and other forms of media. These
A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning–based approach that significantly accelerates the computation of a nonlinear Fokker–Planck–Landau (FPL) collision operator for fusion plasma.
STRADVISION, a leader in deep learning-based vision perception technology, has released the latest edition of the STRADVISION Market Intelligence Report (February 2025), analyzing key trends shaping the automotive industry following CES 2025.
The researchers collected their first data in October 2023 and March 2024. Initially, they were struck by how inconsistently Google showed its warnings. A deep learning model they built to analyze the queries suggested that the warnings should have appeared between 29 and 58 times as often as they did in practice.