AI Research
NUS and Google team up on AI research centre

The National University of Singapore (NUS) and Google have teamed up to drive applied artificial intelligence (AI) research and train a new generation of AI practitioners in the city-state through a new research and innovation centre.
The centre will serve as the core of the partnership, providing the resources and technology to pursue experimental and applied AI projects. For example, it will offer a rapid prototyping sandbox, a controlled cloud-based environment powered by Google Cloud’s tensor processing units. This will enable researchers to experiment, test and validate AI applications before deploying them in the real-world.
For a start, the researchers will focus on three key areas. The first, AI in education, will tap Google Cloud’s Vertex AI platform to develop advanced tools for adult education, creating adaptive learning pathways and course-specific AI companions to support Singapore’s efforts to promote lifelong learning.
A second major project will be the development of a law-specific large language model (LLM). Led by the NUS law faculty, NUS AI Institute and NUS Computing, the domain-specific model will be trained on local statutory interpretation and case precedents to overcome the limitations of generic LLMs in legal contexts.
This is expected to culminate in the development of an AI assistant supporting legal research, with the potential to improve productivity and access to contextually relevant legal information across law firms, the judiciary and public legal education.
The third focus, AI in public health, aims to drive population-level health outcomes by integrating foundational models with diverse data from healthcare, social services and environmental systems. This will support national preventive care programmes like Healthier SG and promote cognitive health and active ageing.
Serene Sia, country director for Singapore and Malaysia at Google Cloud, said: “By combining NUS’s world-class multidisciplinary research capabilities with Google’s AI research and AI-optimised cloud infrastructure, this joint centre is poised to steer safe and responsible AI development and accelerate scientific progress that transforms public health, learning experiences and other vital fields”.
Google is also looking to establish an AI-focused talent development programme at NUS, offering training and certification pathways in Google Cloud AI platforms for students and researchers. In addition, it plans to support a professorship in AI at the university to foster faculty leadership and strengthen the links between academia and industry in a bid to build a sustainable pipeline of AI talent in Singapore.
The latest collaboration between Google and NUS builds on existing initiatives between by the two organisations. These include an on-campus Google Developer Group to equip students with advanced software skills and Google Cloud’s role as an industry partner of the NUS AI Institute.
The partners have also worked together on grooming talent to tackle biomedical challenges with AI, producing the world’s first AI-powered legal journal podcast using Google’s NotebookLM, and recognising exceptional work in computer science through a Google PhD fellowship programme.
“Google has been a valued long-term partner of NUS, and we are excited to deepen this strategic relationship,” said Liu Bin, NUS deputy president for research and technology. “We are confident that our joint efforts with Google will nurture the next generation of AI scientists, engineers, and innovators equipped to tackle real-world challenges.”
AI Research
YARBROUGH: A semi-intelligent look at artificial intelligence – Henry Herald
AI Research
Spotlab.ai hiring AI research scientist for multimodal diagnostics and global health

In a LinkedIn post, Miguel Luengo-Oroz, co-founder and CEO of Spotlab.ai, confirmed the company is hiring an Artificial Intelligence Research Scientist. The role is aimed at early career researchers, postdoctoral candidates, and recent PhD graduates in AI.
Luengo-Oroz writes: “Are you a young independent researcher, postdoc, just finished your PhD (or on the way there) in AI and wondering what’s next? If you’re curious, ready to tackle tough scientific and technical challenges, and want to build AI for something that matters, this might be for you.”
Spotlab.ai targets diagnostics role with new hire
The position will focus on building and deploying multimodal AI solutions for diagnostics and biopharma research. Applications include blood cancers and neglected tropical diseases.
The scientist will be expected to organize and prepare biomedical datasets, train and test AI models, and deploy algorithms in real-world conditions. The job description highlights interaction with medical specialists and product managers, as well as drafting technical documentation. Scientific publications are a priority, with the candidate expected to contribute across the research cycle from experiment planning to peer review.
Spotlab.ai is looking for candidates with experience in areas such as biomedical image processing, computer vision, NLP, video processing, and large language models. Proficiency in Python and deep learning frameworks including TensorFlow, Keras, and PyTorch is required, with GPU programming experience considered an advantage.
Company positions itself in global health AI
Spotlab.ai develops multimodal AI for diagnostics and biopharma research, with projects addressing gaps in hematology, infectious diseases, and neglected tropical diseases. The Madrid-based startup team combines developers, engineers, doctors, and business managers, with an emphasis on gender parity and collaboration across disciplines.
CEO highlights global mission
Alongside the job listing, Luengo-Oroz underscored the company’s broader mission. A former Chief Data Scientist at the United Nations, he has worked on technology strategies in areas ranging from food security to epidemics and conflict prevention. He is also the inventor of MalariaSpot.org, a collective intelligence videogame for malaria diagnosis.
Luengo-Oroz writes: “Take the driver’s seat of our train (not just a minion) at key stages of the journey, designing AI systems and doing science at Champions League level from Madrid.”
AI Research
YARBROUGH: A semi-intelligent look at artificial intelligence – Rockdale Citizen
-
Business2 weeks ago
The Guardian view on Trump and the Fed: independence is no substitute for accountability | Editorial
-
Tools & Platforms4 weeks ago
Building Trust in Military AI Starts with Opening the Black Box – War on the Rocks
-
Ethics & Policy1 month ago
SDAIA Supports Saudi Arabia’s Leadership in Shaping Global AI Ethics, Policy, and Research – وكالة الأنباء السعودية
-
Events & Conferences4 months ago
Journey to 1000 models: Scaling Instagram’s recommendation system
-
Jobs & Careers2 months ago
Mumbai-based Perplexity Alternative Has 60k+ Users Without Funding
-
Education2 months ago
VEX Robotics launches AI-powered classroom robotics system
-
Podcasts & Talks2 months ago
Happy 4th of July! 🎆 Made with Veo 3 in Gemini
-
Education2 months ago
Macron says UK and France have duty to tackle illegal migration ‘with humanity, solidarity and firmness’ – UK politics live | Politics
-
Funding & Business2 months ago
Kayak and Expedia race to build AI travel agents that turn social posts into itineraries
-
Podcasts & Talks2 months ago
OpenAI 🤝 @teamganassi