Rss News

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arXiv AI

• Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. (arXiv:2309.15129v1 [cs.AI])
• Active Classification of Moving Targets with Learned Control Policies. (arXiv:2212.03068v3 [cs.RO] UPDATED)
• TraffNet: Learning Causality of Traffic Generation for Road Network Digital Twins. (arXiv:2303.15954v4 [cs.LG] UPDATED)
• Sigmoid Loss for Language Image Pre-Training. (arXiv:2303.15343v4 [cs.CV] UPDATED)
• Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation. (arXiv:2303.13873v3 [cs.CV] UPDATED)

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MIT Technology Review (español)

• Por qué deberías ponerte la vacuna de refuerzo contra el Covid
• Chat GPT se vuelve hablador: OpenAI incorpora la voz a su IA
• DeepMind afirma que su IA es capaz de determinar las causas de enfermedades genéticas
• Google lanza una herramienta para burlar la censura de Irán en internet
• La IA que no se agota: 'deepfakes' de 'influencers' chinos para retransmitir sin descanso

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MIT News

• Re-imagining the opera of the future
• From physics to generative AI: An AI model for advanced pattern generation
• School of Engineering welcomes Songyee Yoon PhD ’00 as visiting innovation scholar
• 2023-2024 Accenture Fellows advance technology at the crossroads of business and society
• Four Lincoln Laboratory technologies win five 2023 R&D 100 awards

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Python Insider

• Python 3.12.0 release candidate 3 now available
• Python 3.12.0 release candidate 2 now available
• Python 3.11.5, 3.10.13, 3.9.18, and 3.8.18 is now available
• Python 3.12.0 release candidate 1 released
• Python 3.12.0 beta 4 released

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Artificial Intelligence News

• Cyber Security & Cloud Expo: The alarming potential of AI-powered cybercrime
• Twilio Segment: Transforming customer experiences with AI
• Amazon invests $4B in Anthropic to boost AI capabilities
• UK deputy PM warns UN that AI regulation is falling behind advances
• OpenAI reveals DALL-E 3 text-to-image model

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ScienceDaily

• Down goes antimatter! Gravity's effect on matter's elusive twin is revealed
• How to save plants from climate change? Just ask them
• A close-up of biological nanomachines: Researchers take a deep look at peroxisomal processes
• Investigating the role of greener plastics for Japan's carbon neutral goals
• Unleashing the power of AI to track animal behavior

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IBERAMIA

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Tendencias en IA

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Progress in Artificial Intelligence

• Experimental investigation on slip conditions during thread rolling with flat dies
• Solvent-free carbon sphere nanofluids towards intelligent lubrication regulation
• Macro-superlubricity in sputtered MoS2-based films by decreasing edge pinning effect
• Liquid superlubricity of lubricants containing hydroxyl groups and their aqueous solution under rolling/sliding conditions
• Ultralow friction PTFE/PEEK heterolayer: A new solid lubrication approach toward simplicity

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Nature Machine Intelligence

• From attribution maps to human-understandable explanations through Concept Relevance Propagation
• Unlocking biomolecular intelligence
• CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling
• Testing the limits of natural language models for predicting human language judgements
• Updating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) for reporting AI research

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R-BLOGGERS

• Forecasting Freddie Mac with the DeepAR Algorithm
• Enhancing Your Data Visualizations with Base R: Overlaying Points and Lines
• Linear-cost unbiased estimator for large crossed random effect models via couplings
• How NOT to format time series data
• Mastering Data Visualization with ggplot2: A Guide to Using facet_grid()

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Standards by ISO/IEC JTC 1/SC 42 (Artificial intelligence)

• ISO/IEC DTS 25058 – Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Guidance for quality evaluation of artificial intelligence (AI) systems
• ISO/IEC DIS 5259-1 – Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples
• ISO/IEC DIS 5259-3 – Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines
• ISO/IEC DIS 5259-4 – Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework
• ISO/IEC AWI TS 22440 – Artificial intelligence — Functional safety and AI systems — Requirements

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OMPI (WIPO) Intellectual property

• Global Innovation Index 2023: Switzerland, Sweden and the U.S. lead the Global Innovation Ranking; Innovation Robust but Startup Funding Increasingly Uncertain
• GII Science and Technology Clusters: Tokyo-Yokohama Tops Ranking; China Now Home to Greatest Number
• New WIPO Survey Reveals Global Perceptions and Awareness of IP
• WIPO Director General Welcomes Australia’s Contribution to Voluntary Fund for Indigenous Peoples and Local Communities
• The 2023 WIPO Global Awards for SMEs: Winners from China, France, Kenya, Mexico, Singapore, and Slovenia