Category: AI Category


  • Humanities are key to the future of AI

    A powerhouse team has launched a new initiative called ‘Doing AI Differently,’ which calls for a human-centred approach to future development. For years, we’ve treated AI’s outputs like they’re the results of a giant math problem. But the researchers – from The Alan Turing Institute, the University of Edinburgh, AHRC-UKRI, and the Lloyd’s Register Foundation…

  • In time series analysis and forecasting , transforming data is often necessary to uncover underlying patterns, stabilize properties like variance, and improve the performance of predictive models. Source link

  • For regulated industries, AWS’s neurosymbolic AI promises safe, explainable agent automation

    Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now AWS is banking on the fact that by bringing its Automated Reasoning Checks feature on Bedrock to general availability, it will give more enterprises and regulated industries the confidence…

  • The initial reactions to OpenAI’s landmark open source gpt-oss models are highly varied and mixed

    Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now OpenAI’s long-awaited return to the “open” of its namesake occurred yesterday with the release of two new large language models (LLMs): gpt-oss-120B and gpt-oss-20B. But despite achieving technical benchmarks…

  • New ‘persona vectors’ from Anthropic let you decode and direct an LLM’s personality

    Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new study from the Anthropic Fellows Program reveals a technique to identify, monitor and control character traits in large language models (LLMs). The findings show that models can…

  • Tim Cook’s push to get Apple Intelligence back in the race

    While other tech companies push out AI tools at full speed, Apple is taking its time. Its Apple Intelligence features – shown off at WWDC – won’t reach most users until at least 2025 or even 2026. Some see this as Apple falling behind, but the company’s track record suggests it prefers to launch only…

  • LLMs, data scaling & enterprise adoption

    Generative AI is entering a more mature phase in 2025. Models are being refined for accuracy and efficiency, and enterprises are embedding them into everyday workflows. The focus is shifting from what these systems could do to how they can be applied reliably and at scale. What’s emerging is a clearer picture of what it…

  • AI obsession is costing us our human skills

    A growing body of evidence suggests that over-reliance on AI could be eroding the human skills needed to use it effectively. Research warns this emerging human skills deficit threatens the successful adoption of AI and, with it, an opportunity for economic growth. It feels like not a day goes by without another proclamation about how…

  • Reinforcement learning is a relatively lesser-known area of artificial intelligence (AI) compared to highly popular subfields today, such as machine learning, deep learning, and natural language processing. Source link

  • How a ‘vibe working’ approach at Genspark tripled ARR growth and supported a barrage of new products and features in just weeks

    Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Traditionally, product releases can be cumbersome, requiring multiple sign-offs, endless tinkering, bureaucracies and friction points.  Genspark has developed a much different approach.  The AI workspace company’s lean team practices…