AI in Action

Auto Added by WPeMatico

Banner for the AI & Big Data Expo event series.

Okta targets AI agent token costs with MCP scoping

Okta says identity-scoped Model Context Protocol (MCP) tool lists can reduce AI agent token costs. Each model call made by an AI agent can include schemas, names, descriptions and parameters for every tool exposed by a MCP server. Okta calls the resulting prompt overhead the “tool tax”: tokens consumed as a model considers tools, including […]

Okta targets AI agent token costs with MCP scoping Read More »

Banner for the AI & Big Data Expo event series.

Google tests AMIE for clinical video consultations

Google’s research medical AI system, AMIE (Video), conducted synchronous video consultations with professional patient actors and received clinical evaluator ratings on par with primary care physicians across several core measures. Fifteen trained actors portrayed conditions across cardiopulmonary, abdominal, HEENT, neurological or psychiatric, and musculoskeletal presentations. Google says studies involving real patients and their own health

Google tests AMIE for clinical video consultations Read More »

Banner for AI & Big Data Expo by TechEx events.

Novo Nordisk and AWS bring agentic AI into drug discovery

Novo Nordisk is expanding its use of AWS artificial intelligence tools across drug discovery, including AI agents for target identification, therapy design, and research workflows. Under the agreement announced recently, AWS will become Novo Nordisk’s preferred cloud provider and strategic AI partner. The companies have also created a co-innovation hub at Novo Nordisk’s existing London

Novo Nordisk and AWS bring agentic AI into drug discovery Read More »

Banner for the AI & Big Data Expo event series.

Stanford Evo 2 AI model generates phages against E. coli

Stanford researchers have synthesised nearly 300 phages from DNA sequences produced by the Evo 2 generative AI model. Laboratory testing narrowed the group to 16 phages that showed particularly strong E. coli-killing activity. The work centres on bacteriophage ΦX174, pronounced “FYE-ex-1-7-4”. Brian Hie, an assistant professor of chemical engineering and Dieter Schwarz Foundation Stanford Data

Stanford Evo 2 AI model generates phages against E. coli Read More »

Banner for the AI & Big Data Expo event series.

Why health AI interfaces must adapt to user expertise

MIT researchers and collaborators found that AI explainability tools in the health sector can produce sharply different results depending on who uses them. When applied to skin disease diagnosis, non-experts improved their accuracy with AI assistance, although the improvement largely came from deferring to the model. Primary care providers showed a different pattern: they performed

Why health AI interfaces must adapt to user expertise Read More »

Banner for the AI & Big Data Expo event series.

PRISM2 model uses clinical dialogue to interpret pathology slides

Built by Paige and Microsoft, PRISM2 reads whole-slide images through a perceiver-based encoder trained jointly on tissue tiles and clinical dialogue drawn from pathology reports. The model aggregates thousands of tile embeddings per slide into one representation, then generates text that answers diagnostic questions rather than simply classifying pixels.  Training data spans 2.3 million whole-slide

PRISM2 model uses clinical dialogue to interpret pathology slides Read More »

Banner for AI & Big Data Expo by TechEx events.

Why biological data matters more in AI drug discovery

GSK has entered into a research collaboration with British biotechnology company Relation Therapeutics worth up to $110 million, expanding the companies’ existing work in AI-assisted drug discovery. Under the agreement, Relation will generate large-scale datasets measuring how human cells respond to genetic changes and drug interventions. The data will be used to train AI models

Why biological data matters more in AI drug discovery Read More »

Banner for the AI & Big Data Expo event series.

OpenAI report links coding agents to faster science software builds

OpenAI has released a new field report tracking eight scientific computing projects where coding agents cut runtimes. The report documents projects that used Codex on its own in five cases and a combination of Codex and Anthropic’s Claude Code in three others. Worth flagging upfront: this is a vendor publishing a survey of its own

OpenAI report links coding agents to faster science software builds Read More »

Banner for AI & Big Data Expo by TechEx events.

Google AI Overviews become more common in search

Google’s AI-generated summaries appeared in 43% of US searches measured by Similarweb, up from 15% a year earlier, according to the market intelligence firm’s 2026 Generative AI Landscape report. AI Overviews display generated summaries within conventional Google results, while AI Mode provides a conversational interface for longer questions and follow-up prompts. Users can move from

Google AI Overviews become more common in search Read More »

Banner for the AI & Big Data Expo event series.

Guardoc Health processes clinical documentation using Amazon Nova models

Guardoc Health says it processes over one million clinical documents daily using Amazon Nova models through Bedrock. Bringing AI into clinical documentation comes down to a specific kind of risk calculation. Get it wrong and the errors compound into denied Medicare claims under the Patient-Driven Payment Model, audit fines, litigation exposure, and in the worst

Guardoc Health processes clinical documentation using Amazon Nova models Read More »