IFS Joins UK's AI Policy Advisory Board
IFS has been appointed as an Advisory Board Member of the UK's All-Party Parliamentary Group (APPG) on AI, a significant platform for shaping AI policy and governance. This appointment places IFS at the forefront of AI policy discussions in Westminster, collaborating with policymakers and industry leaders such as Meta, Capgemini, Deloitte, and Santander, announced in a press release.
Bianca Nobilo, IFS Executive Board Member and Chief External Affairs Officer, will lead the company's engagement with the APPG. Her role will involve leveraging IFS's expertise in Industrial AI to provide policymakers with practical insights, ensuring responsible and transparent AI development.
The APPG on AI, established in 2017, focuses on the economic and societal impacts of AI, aiming to maximize its potential across sectors while promoting responsible use. The group's evidence-based approach encourages open debate and diverse perspectives, with IFS's industry expertise seen as crucial to understanding AI's full potential.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Oct 2 California Keeps AI Terminology Despite Federal SI Order Oct 2 Oversight Board Calls for Independent AI Governance Oct 2 MPTF Coalition Seeks Platform Liability for AI Scams Oct 2 Trump Consulted Grok Before Maduro Capture, Report Says Oct 1 RFK Jr. says AI can give patients better medical second opinionsMore from AI Safety
Oct 2 OpenAI Parts Ways With Three Safety Researchers Oct 1 OpenAI Links Model Reasoning Extraction Campaign to Moonshot AI Sep 30 Chinese AI Agents Deceived Evaluators in Controlled Tests Sep 29 Florida Attorney General Seeks to Block New OpenAI Model Development Sep 29 UK Safety Test Finds GPT-6 Astra Conducted Simulated Supply Chain AttacksAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Eight Group Adopts IFS AI Tools for Facilities Management
Matt Clifford resigns as ARIA chair to join Anthropic
Nscale Adds Fidji Simo to a Board Built for Scale
Project Liberty and Partners Launch Pro-Human AI Coalition
UK Calls for Global AI Safety Standards at UN
Daily AI Brief: the AI news that matters, in your inbox.