TechSocial Series - January 2026
20 January 2026, 4:00 pm–6:00 pm
See in the New Year with "Agentic AI + Evolutionary Optimization: Artemis’ Engine Explained" - presented by Manal Adham of TurinTech AI!
This event is free.
Event Information
Open to
- All
Availability
- Yes
Cost
- Free
Organiser
-
ARC TechSocial Team – Centre of Advanced Research Computing
Location
-
Function space - 1st Floor90 High HolbornLondonWC1V 6LJUnited Kingdom
Abstract
Artemis is a modular platform that simplifies software development, improves code quality, and boosts performance. Designed for developers, researchers, and students, it provides intuitive tools to build, refine, and manage software systems and research projects with ease.
The Planning Agent transforms high-level goals into clear, actionable tasks, breaking complex projects into manageable milestones. Developers can track progress, adjust, and stay organised, making Artemis ideal for creating new projects, refactoring code, or even structuring research papers.
The Code Audit Dashboard acts as a smart assistant, analysing code to spot issues and suggest improvements. It can propose optimisations and apply them in the background, with developers reviewing and approving changes before integration. This ensures a transparent, efficient workflow, with full control in the hands of developers, researchers, or students.
The Artemis Intelligence module uses a native genetic algorithm that refines code performance. By testing multiple code variations, it selects the most efficient solution based on your specific goals, delivering reliable results for software development.
Free regsitration available via Pretix
Head to our TechSocial Series hompage for more information about future dates and speakers
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About the Speaker
Manal Adham
at TurinTech AI
Manal Adham is a Research Scientist at TurinTech AI. She focuses on automating and improving machine learning model development using the EvoML and Artemis platforms. Manal has a PhD in Artificial Intelligence from UCL. She has worked on research related to biologically inspired algorithms and the scalability of AI. Her work connects academic discoveries with real-world, business applications.
More about Manal Adham
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