It’s increasingly recognised that moving from prompts to context is critical for achieving scalable, adaptive high-impact ...
Transformer on MSN

Teaching AI to learn

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.
Introduction Psychosocial safety climate (PSC) is increasingly recognised as an important organisational resource for promoting mental health at work and preventing psychosocial risks, which are ...
How to survive the 2026 compliance cliff. Learn why Ilum is the architectural standard for Oman PDPL, EU switching, and ...
Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.
Famed biohacker Bryan Johnson and his Blueprint team devised this measure of harmful plastic particles in your blood.
Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...
AI productivity gains are now showing up in GDP, unit labor costs, and earnings at AI adopter firms. Click here to read what ...
Philadelphia-based Penn Medicine has developed a generative AI tool designed to help clinicians quickly identify and synthesize key information from patients’ electronic health records ahead of visits ...
Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader data estate.
For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake information.
As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large. Some accounts estimate that AI is driving 90% of US GDP growth, while others ...