惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

人人都是产品经理
人人都是产品经理
Apple Machine Learning Research
Apple Machine Learning Research
云风的 BLOG
云风的 BLOG
罗磊的独立博客
博客园 - 三生石上(FineUI控件)
量子位
GbyAI
GbyAI
腾讯CDC
T
Tailwind CSS Blog
博客园 - Franky
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
D
Docker
G
Google Developers Blog
aimingoo的专栏
aimingoo的专栏
The GitHub Blog
The GitHub Blog
Microsoft Security Blog
Microsoft Security Blog
Stack Overflow Blog
Stack Overflow Blog
Hugging Face - Blog
Hugging Face - Blog
小众软件
小众软件
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
N
Netflix TechBlog - Medium
Jina AI
Jina AI
IT之家
IT之家
Y
Y Combinator Blog

The Next Platform: In-depth coverage of high end computing

Uncle Sam Awards $2 Billion-Plus To Quantum Companies, But Wants A Cut Oak Ridge Starts Weaving Together A Quantum, Classical HPC, And AI System Stack Dell Bulks Up Hardware As AI Infrastructure Shifts To On-Premises Cisco Wins Over AI Customers With Merchant Silicon And Optics With Its IPO Done, Cerebras Can Get Back To Pushing The AI Envelope HPE Throws VM Users A Lifeline, Unifying Containers And VM Management In Cloud Stack OpenAI, Microsoft And Friends Build A Better, More Scalable Ethernet Compute And Memory Price Hikes Drive IT Spending Way Higher Sometimes, Air Is The Only Way For AI Systems To Keep Their Cool Arista Rides AI Scale Out Networks, Moves Into Scale Across, And Awaits Scale Up If You Can Make A Compute Engine, You Can Sell A Compute Engine Cleveland Clinic Simulates Large Proteins With Quantum-Centric Supercomputing Broadcom Helps CPU And XPU Makers Go Vertical With Compute Microsoft Committed To Doubling AI Infrastructure In Two Years Google Is A Full Stack AI Player, And Is Playing Well AWS Will Be An OEM, Just Like Google And Maybe Microsoft New Google Networks Tuned Up For GenAI Inference And Training Microsoft And OpenAI Remain Friends, Are Looking To Hook Up With Others AI-Driven CPU Shortage Saves Intel’s Financial Cookies The GenAI Battle Shifts From Frontier Models To Agentic Platforms With TPU 8, Google Makes GenAI Systems Much Better, Not Just Bigger Cisco Scales Out Quantum Systems With A Quantum Network Switch The Second Time Will Be The IPO Charm For Cerebras Imagine An Army Of AI Minions Handling Incident Response AI Will Soon Drive A Third Of TSMC’s Business Bechtolsheim & Friends Breathe Life Into Pluggable Optics One Last Time How HPC And AI Digital Twins Accelerate Quantum Error Correction The Embrace Of AI In Design Transforms Cadence And Its Customers Nvidia Brings The Power Of Open Source AI Models To Quantum Computing Building The Imperfect Beast
How AI Is Boosting Gender Equality In High Performance Ra...
Published mon 9 Mar 2026 // 13:22 UTC · 2026-03-09 · via The Next Platform: In-depth coverage of high end computing

Formula E and Google Cloud are developing an AI-based Driver Agent to provide racers with the real-time performance feedback and personalized coaching support that was once the sole domain of top tier professionals.

A historic dearth of data and ensuing under-investment in female-specific training and support is holding too many women athletes back.

There are many reasons for this lack of information. This includes women's late access to professional competitions, cultural bias, and lower levels of sponsorship.

But the situation is putting female sportspeople at a significant disadvantage. This is true even in a sport like Formula 1 (F1) racing, which is one of the few in which both genders can compete on an equal physical footing.

More than Equal's Inside Track study, the biggest ever conducted into women's participation in motorsport, revealed that less than 10% of the entire industry are female. In addition, only five women have ever competed in high-profile F1 World Championship Grand Prix events, and none have ever won.

But with the smart use of data, analytics and AI, this situation could be about to change. A collaboration between Formula E, the premier all-electric racing series, and Google Cloud, its Principal Artificial Intelligence Partner, is showing what's possible.

They are jointly developing a generative AI-based Driver Agent to level the playing field for emerging talent worldwide, no matter what their gender, background, team size or resources. The aim is to bridge the gap between top-end drivers who have access to sophisticated performance analytics tools and lower-level players who do not.

Leveling The Playing Field

The Driver Agent is powered by Google Cloud's Vertex AI development and runtime platform and Gemini large language model. It offers drivers both real-time performance feedback and personalized coaching support either via text or audio.

This enables them to make immediate adjustments, refine their skills, and optimize their performance. In the past, such insights were only provided to top-tier drivers by their engineering teams.

But a key aim with Driver Agent is to democratize access to such insights, and not just among Formula E drivers but for other professionals in the motorsport community too. The idea is to build a future where racing talent is determined by skill rather than the resources available, enabling a more diverse pool of talent, particularly women, to rise to the top.

But the Driver Agent isn't the only way Formula E is trying to shift the balance. Its annual Women's Test, which is unique among FIA World Championships, puts elite female drivers behind the wheel of the latest machinery, working directly with the manufacturers and engineering teams that shape the grid.

In November's second running of the test at Circuit Ricardo Tormo, American Chloe Chambers posted the fastest time for Mahindra Racing. She was just four-tenths off the benchmark set across the entire four-day pre-season test by Joel Eriksson, who has 10 Formula E starts to his name.

It's one data point, from one test, on one track. But it's hard to look at results like these and argue the talent isn't there. What's been missing is the access to coaching, data, and seat time. That's the gap Google Cloud and Formula E are closing.

Sponsored by Google Cloud.