Blog posts

Synthetic data revolutionises orthopaedics by enhancing surgical precision, AI training, and data privacy while overcoming data scarcity.

Learn how Amazon Neptune's graph database helps build scalable knowledge graphs for complex queries from large datasets. Explore use cases in COVID-19 research and competitor intelligence.

Businesses face a choice: use pre-built, customise existing, or create new LLMs. Balancing cost, expertise, and benefits is crucial for optimal efficiency and innovation.

Curious about the buzz around Mistral? Discover why this France-based AI company is making waves with its advanced, open-source language models. Learn how innovations like Grouped-Query Attention and Mixture of Experts architecture make their models powerful and efficient.

AI transforms waste management with smart sorting, recycling solutions, and AI-designed enzymes, enhancing efficiency and sustainability for a greener future.

Discover how to build trustworthy AI systems for high-responsibility tasks by adhering to six key principles: robustness, explainability, fairness, transparency, efficacy, and privacy.

Explore the rise of Generative AI and understand the impact of transformer architectures. Learn how GPT models generate text and BERT models extract information. Discover their pros and cons, focusing on NLP applications, to choose the right model for your specific use case.

Large language models (LLMs) need fine-tuning for specific tasks. Methods like LoRA and QLoRA improve efficiency. The latest innovation, QDoRA, further enhances performance and reduces computational demands.

Discover how Artificial Intelligence is revolutionising agriculture, addressing pressing challenges like climate change, workforce shortages, and resource management to enhance efficiency and sustainability for a resilient agricultural future.

Advanced AI technology aids The Ocean Cleanup in removing ocean plastics and protecting marine life, showcasing potential for broad applications in industries like healthcare and urban management.

Explore how AI and computer vision transform sports through enhanced broadcasting, improved officiating, and revolutionary fan experiences with advanced analytics.

Artificial Intelligence is revolutionising education, enhancing personalised learning and outcomes. AI extends beyond automation, reshaping teaching and enriching knowledge acquisition for all students, including those with special needs.

There is tremendous transformative potential in emotionally intelligent robots. We have the technology to build AI infused robots today. Learn how adding emotional intelligence can enhance human-machine interactions across various sectors.

Diversity in AI is crucial to counter biases and ensure technology equitably serves all. By integrating varied perspectives in data and development, we can create inclusive AI solutions that reflect the diversity of our global community and address societal inequalities effectively.

Deepfakes blend reality and AI, presenting marvels and ethical dilemmas. They amuse and distort truth, raising concerns. Balancing their use is crucial for leveraging benefits while protecting reality.

AI and music intersect to redefine creativity and production, highlighting breakthroughs in audio tech and innovation. This exploration invites envisioning a future where technology and artistic expression merge, reshaping the musical landscape.

Discover the shift from cloud to local GPUs for advanced AI work, boosting control, creativity, and cost efficiency. This strategic move enhances experimentation and secures a competitive edge in AI development.

AI's potential to revolutionise genetics promises groundbreaking advancements in healthcare, enabling precise disease prediction, personalised medicine, and deeper understanding of genetic data's impact on health.

Discover how AI and neuroscience are merging to read minds and interpret brain activity, through innovations like Latent Diffusion Models and brain-computer interfaces, pushing the boundaries of technology and cognition.

Explore the integration of human ethics into AI through the Human-in-the-Loop (HITL) methodology, which enhances the decision-making and ethical standards of AI systems. HITL ensures AI governance by embedding human judgment to improve accountability, transparency, and regulatory compliance.

Dive into the critical choice between building or buying AI, highlighting the importance of data quality, budget considerations, and ethical implications. Uncover strategies for customising AI to fit unique business needs and stand out in a competitive landscape.