A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.
Abstract: In wireless sensor networks (WSNs), coverage and deployment are the two most crucial issues when conducting detection tasks. However, the detection information collected from sensors is ...
DeepMind COO Lila Ibrahim discusses building powerful AI with care, ethics and a long-term focus on human impact.
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RRC, MGEU hail collective bargaining collaboration they say used truth and reconciliation principles
Red River College Polytech and the Manitoba General Employees’ Union hope their model of collaboration during bargaining can ...
Together with robust data-driven modeling, rethinking regulation and data use could push forward a notoriously challenging ...
A Google study finds advanced AI models mimic collective human intelligence by using internal debates and diverse reasoning ...
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Physical AI is the next frontier, and we are taking up the challenge: Raghu Dharmaraju, CEO, ARTPARK
Seed-funded by the Government of India under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), ...
Humans&, a new startup founded by alumni of Anthropic, Meta, OpenAI, xAI, and Google DeepMind, is building the next ...
Secur-e-Health demonstrates how PETs securely combine healthcare data for better risk predictions. Now available: the PET ...
BuchhaltungsButler, in collaboration with DataPulse Research, reports that while AI like ChatGPT can aid in tax returns, ...
With increasing numbers of multilingual learners, representing over 20 languages and 65% of the student population, the ...
Real-time collaboration between people and AI is emerging as a critical driver of faster, higher-quality business innovation.
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