Displaying 10 of 92 results for "Jingjing Cai" clear search
MakeShot.ai is an all-in-one AI content platform that lets you generate professional videos and images from text with powerful models like Veo 3, Sora 2, and Nano Banana.
MakeShot.ai is a unified AI content creation platform where creators and businesses can turn simple text prompts into high-quality videos and images using a suite of advanced models, including Veo 3 for native audio and photorealistic video, Sora 2 for cinematic storytelling, and Nano Banana for hyper-realistic images. The platform supports professional-grade outputs for social media, marketing campaigns, film production, and e-commerce visuals, all within a single interface that streamlines workflows and eliminates the need for multiple tools.
We can create custom research papers, essays, business reports, book or article reviews, research proposals, dissertations, IB extended essays, and many more types of papers. We help with papers for different complexity levels too, namely from high school to PhD papers. The writing is adapted to the chosen level so that our customers could safely claim the paper to be their own. In addition, we can create papers from scratch or can help you improve your draft at any writing stage by our custom paper writer
I am a researcher in computational policy modelling and AI Governance Lead at City Business AI (Traavu Ltd). I build agent-based models that test how a policy distributes access, delay and protection across a real population, including IPS-England, a model of England’s SEND identification and assessment pathway, and the GRID Observatory, on safeguarding underreporting in specialist SEND schools. My path runs through investigative journalism, health data infrastructure at Orodata Science in Nigeria, and practice in specialist SEND education. I am a UKRI Future Leaders Fellowship nominated candidate hosted at Leeds Beckett Law School.
Computational modelling of public policy; statutory process design; access to special educational needs provision in England and Nigeria; safeguarding and underreporting; conditions for human oversight in AI governance; simulations that the people affected by a policy can use and question.
I work at the intersection of archaeology and artificial intelligence, applying computational modelling to some of prehistory’s hardest questions. My doctoral research used agent-based modelling combined with genetic algorithms to explore the behavioural and biological characteristics of Neanderthals — treating ancient populations not as static artefacts but as dynamic systems that can be interrogated through simulation.
My work reflects a broader conviction: that AI and machine learning are not just tools imported from other disciplines, but frameworks that can reshape how archaeologists ask questions and interpret the past.
Simulation of past hominins in a realistic setting, software design, Artificial Intelligence application
Linkjob.ai is an AI interview copilot that helps job seekers practice smarter, answer better, and feel more confident in interviews.
www.linkjob.ai is an AI-powered interview assistant designed to help job seekers prepare for and navigate interviews more effectively. It offers AI-driven mock interviews, smart question analysis, and guided answer suggestions for both technical and behavioral interviews. Ideal for developers, students, and professionals, Linkjob.ai helps you organize your thoughts, improve your responses, and approach interviews with greater clarity and confidence.
Innovation Networks, University-Industry Links, Management and Policy for Technologies in Emerging Economies (Brazil), Agent-based Simulation.
For my Ph.D. thesis, I developed a system to play poker.
I’m interested to see whether a similar approach can be applied to agent based models.
Displaying 10 of 92 results for "Jingjing Cai" clear search