Fine-tuning your own biosystem for misinformation detection
Over the past years we have all witnessed the kind of damage misinformation can bring to humanity. Labelling information as misinformation until proven to be so contradicts the scientific principle, as we could be obstructing hypotheses and useful views and opinions....
What level of machine learning pipeline customization does your use case require?
A question we often ask ourselves is how many machine learning (ML) opportunities are prematurely ended due to conclusions of inadequate data for required performance. Each data science project typically starts with benchmarking of existing techniques and ML...
Where are the digital twins of human knowledge and creativity taking us?
One can consider Generative AI analogous to a digital twin, representing a virtual model of all digitally captured human knowledge and creations. Perceived in this manner, why are some people bothered by their digital twin let alone be fearful of it? Could it be due...
Prioritizing content and discipline in the responses of Large Language Models
The new version of Lateral AI has expanded the customisation options the user has to direct the AI’s response. The user can now simply type or paste up to 7000 characters of text to describe what or who they want they custom AI to be like. This can include their...
Lateral AI: Motivation and Differences to Other Large Language Model Empowered Interaction Systems
Lateral AI was born out of a vision of serving powerful AI as a textual world simulation enabling easy interaction via chat or scenario outplay and user control over persona of AI responses. The users can free type any world’s artefact which the AI will impersonate...
AI also has a solution for its own regulation: evidence-based personalised content generation
The commonly stated objectives behind regulating the content generative AI can serve imply the implementation is usually via human opinions. This is challenging task since the opinions and resulting censoring of AI generated content needs to somehow fit all possible...
Long term generative AI adoption strategy: human empowerment not replacement
The generative AI technology has shown impressive results of being able to create high quality output (text, audio, images, video) at the speed humans can never compete with. This gives rise to the automation opportunities within a business as well as fear amongst...
Regulating the generative AI systems obscures exceptions to the knowledge
The rise of conversational AI systems capable of quality content generation and impersonation of human expertise, triggered a hype around regulating such systems. Regulation typically comes in form of a content filter disallowing the AI system to generate certain type...
What happens to our creativity, when AI becomes creative?
Is AI making us less or more conceptual beings?
AI can now detect cancer cells in blood
September AI Labs have developed a method of identify circulating tumour cells in blood using computer vision and advanced machine learning prediction techniques in collaboration with Edith Cowan University.
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