50 citations
- Accenture (United States)US3 papers
- University College LondonGB2 papers
- American UniversityUS1 paper
- Astana Medical UniversityKZ1 paper
- California Institute of Integral StudiesUS1 paper
- École des hautes études en sciences socialesFR1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Georgia Institute of TechnologyUS1 paper
- GoodAI (Czechia)CZ1 paper
- Independent University of MoscowRU1 paper
- Indian Institute of Technology IndoreIN1 paper
- Indian Institute of Technology PatnaIN1 paper
6 papers · 1 filter
Enhanced Single-Cell RNA-seq Embedding through Gene Expression and Data-Driven Gene-Gene Interaction Integration
Hojjat Torabi Goudarzi, Maziyar Baran Pouyan
Single-cell RNA sequencing (scRNA-seq) provides unprecedented insights into cellular heterogeneity, enabling detailed analysis of complex biological systems at single-cell resoluti…
Assessing the Impact of Refactoring Energy-Inefficient Code Patterns on Software Sustainability: An Industry Case Study
Rohit Mehra, Priyavanshi Pathania, Vibhu Saujanya Sharma +3
Advances in technologies like artificial intelligence and metaverse have led to a proliferation of software systems in business and everyday life. With this widespread penetration,…
Towards a Knowledge Base of Common Sustainability Weaknesses in Green Software Development
Priyavanshi Pathania, Rohit Mehra, Vibhu Saujanya Sharma +3
With the climate crisis looming, engineering sustainable software systems become crucial to optimize resource utilization, minimize environmental impact, and foster a greener, more…
How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and Regulations
Ashmita Sampatsing, Sophie Vos, Emma Beauxis-Aussalet +1
With the ever-growing adoption of artificial intelligence (AI), AI-based software and its negative impact on the environment are no longer negligible, and studying and mitigating t…
CayleyPy RL: Pathfinding and Reinforcement Learning on Cayley Graphs
A. Chervov, M. Obozov, A. Soibelman +31
This paper is the second in a series of studies on developing efficient artificial intelligence-based approaches to pathfinding on extremely large graphs (e.g. nodes) wit…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…