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Canadian University Dubai Students Create Smart Garbage Bin

The AI-driven household waste sorter uses “social robotics” to improve refuse management.

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canadian university dubai students create smart garbage bin

Canadian University Dubai (CUD) students have developed an innovative solution for sorting household waste. The system uses artificial intelligence, mechatronics, and so-called “social robotics” to swiftly and accurately sift through garbage. Known as the Social Robot Garbage Classifier, the project is a collaboration between students from the School of Engineering, Applied Science and Technology, and the Department of Public Health.

The idea for the smart garbage bin was formulated initially by Computer Network Engineering major Jehad Al Jaghoub, who explained, “Often people will not sort recyclable materials, or will accidentally place items in the wrong bin. Our goal is to improve the outcome of recyclable garbage sorting and, ultimately, to see these smart bins installed across Dubai. The mechatronics system uses sensors, allowing the robot to interact with users and understand their waste disposal needs. Precision-engineered actuators then translate this input into actions, ensuring that trash is correctly sorted and discarded”.

jehad al jaghoub abdullahi suleiman smart garbage bin

Co-creator and Public Health major Abdullahi Suleiman added: “The camera-based waste detection system uses advanced image recognition algorithms to identify items swiftly and accurately, enabling bottles, cans, and other recyclables to be identified with remarkable precision. This advanced system minimizes errors, guaranteeing that waste is accurately sorted and disposed of, significantly contributing to sustainable waste management”.

The university students’ prototype waste management system will soon compete in two regional innovation competitions, including the Institute of Engineering and Technology GCC Robotics Challenge, which showcases solutions for socially interactive robotics.

Also Read: Air Taxis Fly Over Jerusalem As Israel Creates Airspace Network

The students are supported in taking their creation to competitions by CUD Assistant Professor Dr. Salih Rashid Majeed, who summed up the project by saying, “This smart garbage bin is a remarkable innovation at the intersection of social robotics and mechatronics system design and represents the university’s strategy to harness the power of artificial intelligence to deliver sustainable practices. The social aspect of the robot creates an intuitive and user-friendly waste disposal experience that has the potential to reshape waste management as we know it”.

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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.

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nvidia puts gpt-5.5 codex in hands of 10000 staff
NVIDIA

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.

openai's new gpt-5.5 powers codex on nvidia infrastructure 2

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.

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