Many smart devices now have a built-in virtual assistant that uses ASR technology to process voice commands, such as “set alarm,” “create reminders with AI,” and “listen to music.” From video caption generators and voice search to the development of…
This post contains a list of AI-related seminars scheduled to take place between March 2 and April 30, 2026. All events detailed here are free and open for anyone to attend virtually. March 2, 2026 Three talks: 1) Explaining deviations…
As artificial intelligence (AI) and the Internet of Things (IoT) accelerate the pace of discovery, research teams are facing an unprecedented increase in the volume, velocity, and complexity of data. What used to be validated through manual checks now includes…
The current path of generative AI relies heavily on Latent Diffusion Models (LDMs) To manage the computational cost of high-resolution synthesis. By compressing data into a lower-dimensional latent space, models can scale effectively. However, a fundamental trade-off remains: lower information…
Customizing large language models (LLMs) currently represents an important engineering trade-off between flexibility In-context learning (ICL) And efficiency Context Distillation (CD) or Supervised Fine Tuning (SFT). Tokyo-based Sakana AI has proposed a new approach to bypass these limitations through cost…
AI doesn’t just add work; It changes work in ways that are now empirically undeniable. Harvard Business Review articleArtificial intelligence does not reduce work, it intensifies it“Confirms the validity of what I call”Artificial intelligence taxAlmost a year ago: AI increases…
The generative AI race has long been a game of “bigger is better.” But as the industry reaches the limits of power consumption and memory bottlenecks, the conversation is shifting from raw parameter counts to architectural efficiency. The Liquid AI…
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Artificial intelligence is transforming almost every corner of the financial world, and tax strategy is no exception. What once required hours of manual calculations, paperwork and guesswork can now be simplified by intelligent systems capable of analyzing massive amounts of…
Introduction Why this matters now The Model Context Protocol (MCP) has emerged as a powerful way for AI agents to call context‑aware tools and models through a consistent interface. Rapid adoption of large language models (LLMs) and the need for…
EHS Software Rollout Done Right: A Practical Guide to Driving User Adoption How do you ensure an EHS software rollout truly drives user adoption across frontline workers, supervisors, and safety leaders? The short answer is this: Treat EHS rollout as an…
Investment in enterprise AI accelerates in 2026. Budgets expand. Expectations are rising. Councils ask clearer questions. But there is now one question at the heart of every discussion of artificial intelligence: What measurable business value does this provide? For many…
