Abstract Artificial intelligence (AI) is reshaping analytical chemistry by changing how instrumental measurements are processed, interpreted, optimized, and translated into chemical decisions. Modern analytical platforms generate high-dimensional spectra, chromatograms, mass spectra, images, and sensor signals in volum...
Achut R. Shinde· Zenodo (CERN European Organi...· 0 citations
Diagnosis and description of Leopardus tilcayo Family Felidae Batsch, 1788; Subfamily Felinae Batsch, 1788; Leopardus Gray, 1842 Leopardus tilcayo sp. nov. Nogales-Ascarrunz, Aliaga-Rossel, Lescroart & Eizirik. The full taxonomic treatment can be consulted in the supplemental information (Data S1) and is registered as...
Jonas Lescroart, Paola Nogales‐Ascarrunz, Molly Cassatt‐Johnstone et al.· Zenodo (CERN European Organi...· 0 citations
Diagnosis and description of Leopardus tilcayo Family Felidae Batsch, 1788; Subfamily Felinae Batsch, 1788; Leopardus Gray, 1842 Leopardus tilcayo sp. nov. Nogales-Ascarrunz, Aliaga-Rossel, Lescroart & Eizirik. The full taxonomic treatment can be consulted in the supplemental information (Data S1) and is registered as...
Jonas Lescroart, Paola Nogales‐Ascarrunz, Molly Cassatt‐Johnstone et al.· Zenodo (CERN European Organi...· 0 citations
Living Labs (LLs) provide a practical way to co-create, trial, and evaluate innovations in real-life settings, but most guidance is tailored to urban, project-driven contexts. Small rural hospitality sites must integrate experimentation with daily operations while caring for heritage assets and managing environmental r...
Fotios K. Konstantinidis, Pantelis Pramagkioulis, Efthimiadis, Ioannis et al.· Zenodo (CERN European Organi...· 0 citations
Living Labs (LLs) provide a practical way to co-create, trial, and evaluate innovations in real-life settings, but most guidance is tailored to urban, project-driven contexts. Small rural hospitality sites must integrate experimentation with daily operations while caring for heritage assets and managing environmental r...
Fotios K. Konstantinidis, Pantelis Pramagkioulis, Efthimiadis, Ioannis et al.· Zenodo (CERN European Organi...· 0 citations
Abstract The rapid development of artificial intelligence (AI) has created new opportunities for accelerating scientific research, particularly in materials science, medicinal chemistry, coordination chemistry, and sustainable chemical development. Azo dye-based metal complexes represent an important class of coordinat...
Sapana Prabhu Chavan· Zenodo (CERN European Organi...· 0 citations
Abstract Generative Artificial Intelligence (Generative AI) has significantly influenced students' approach to formal writing. The present research, titled “Impact of Generative AI on the Formal Writing Practices of Undergraduate Students,” tries to examine the extent, frequency, purposes, and perceived effects of Gene...
Mukherjee, Satarupa· Zenodo (CERN European Organi...· 0 citations
Abstract Generative Artificial Intelligence (Generative AI) has significantly influenced students' approach to formal writing. The present research, titled “Impact of Generative AI on the Formal Writing Practices of Undergraduate Students,” tries to examine the extent, frequency, purposes, and perceived effects of Gene...
Mukherjee, Satarupa· Zenodo (CERN European Organi...· 0 citations
Abstract The rapid development of artificial intelligence (AI) has created new opportunities for accelerating scientific research, particularly in materials science, medicinal chemistry, coordination chemistry, and sustainable chemical development. Azo dye-based metal complexes represent an important class of coordinat...
Sapana Prabhu Chavan· Zenodo (CERN European Organi...· 0 citations
Viksit Bharat @2047 aims to build a developed, technologically advanced, economically resilient and sustainable India. Achieving this vision requires integrating Artificial Intelligence (AI), mathematics, physics, digital commerce and sustainability. This paper proposes a framework called Mathematical-Physical Intellig...
Manohar B. Bhagirath, Anilkumar Vishnupant Shelke, H. R. Khambayat· Zenodo (CERN European Organi...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.