As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...
Is cognitive offloading harmless or does it have negative effects for cognition? A new study offers interesting insights.
Abstract: With the increasing penetration of renewable energy, power systems exhibit diverse and complex operational characteristics, often leading to convergence problems in traditional numerical ...
1 Department of Respiratory and Critical Care Medicine, Changzheng Hospital, The Second Affiliated Hospital of Naval Medical University, Shanghai, China. 2 Department of Respiratory and Critical Care ...
We’re at a point where AI agents are beginning to move beyond being mere tools—they’re becoming active participants in how businesses operate. That changes everything, and it demands a shift in how we ...
Objective This study aims to comprehensively review the literature on the use of speech biomarkers in disease diagnosis and monitoring, focusing on recording protocols, speech tasks, speech features ...
At the “Make with Notion” event on Thursday, the company announced the launch of its first AI agent. The agent will draw on all of a user’s notion pages and database as context, automatically ...
In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
Unique to the cognitive inhibition graph are regions LH_DefaultA_pCunPCC_1 (left posterior cingulate cortex/precuneus), LH_DefaultB_PFCd_1 (left dorsal prefrontal cortex 1), and LH_DefaultB_PFCd_3 ...
Under the Weapons of Mass Destruction Analysis, Exploitation and Data Science Support, or WAEDS, task order, Booz Allen said Thursday it will apply advanced technology and bring highly technical ...
Abstract: Shared training approaches, such as multi-task learning (MTL) and gradient-based meta-learning, are widely used in various machine learning applications, but they often suffer from negative ...
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