News
Expo City Dubai And Yango Group Launch Autonomous Food Delivery
AI-powered delivery robots are now serving Expo City Dubai, advancing the city’s smart mobility vision with zero-emission, last-mile logistics.
Yango Group has kicked off a four-month pilot program for autonomous food delivery at Expo City Dubai, introducing AI-powered robots that offer a glimpse into the future of last-mile logistics. The initiative aims to enhance convenience for employees, residents, and visitors, while supporting Dubai’s broader smart city ambitions.
The electric, zero-emission robots will deliver meals from select restaurants to Expo City’s main office at Al Wasl Plaza. Operated through the Expo City Eats app, the service currently supports deliveries to the Al Wasl 3 building from four dining outlets.
Using high-definition maps and a suite of sensors, the robots navigate urban areas in real time, avoiding pedestrians, vehicles, and obstacles — even in low light or adverse weather. The bots independently plan their routes and adjust to dynamic conditions, quietly weaving through city environments with precision.
“We are thrilled to collaborate with Expo City Dubai on this pilot program,” said Nikita Gavrilov, Regional Head of Yango Tech Autonomy. “[The] clearly defined zones provide a perfectly controlled environment to safely and efficiently test autonomous technologies”.
Also Read: Face Recognition Tech Rolls Out In Abu Dhabi Hotels
The trial is being conducted through Expo City’s Urban Lab, a city-wide innovation platform designed to test and scale technologies for sustainable, human-centric cities. “Urban Lab lowers barriers to innovation, rigorously testing solutions and preparing markets to adopt impactful, sustainable technologies,” said Dr. Amy Hochadel, Vice President – Urban Lab, Expo City Dubai.
If successful, the pilot will expand to include more restaurants and offer autonomous deliveries to all Expo City residents and businesses. The project also broadens the reach of Yango Tech — Yango Group’s B2B division — by adding to its portfolio of AI-powered enterprise solutions.
As autonomous food delivery becomes more viable, Expo City Dubai is positioning itself as a living testbed for innovation — where sustainability, mobility, and technology converge.
News
NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.

Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
Also Read: Deezer Says AI Tracks Now Make Up 44% Of Uploads
The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
