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Meet The Smart Contact Lenses Powered By Tears
Researchers in Singapore have revolutionized the humble contact lens with self-charging smart capabilities.
Contact lenses have been used to successfully correct vision for decades, but recently, they’re beginning to evolve into something much more interesting.
Researchers from the Nanyang Technological University (NTU) in Singapore have developed a tiny micrometer-thin battery that can power futuristic smart contact lenses that rely on the wearer’s tears for power.
Although smart contacts are nothing new, most attempts so far have relied on thin batteries with tiny induction coils and wires. Obviously, these metal parts aren’t ideal for a device that sits directly on the wearer’s eye, so an NTU School of Electrical and Electronic Engineering (EEE) research team led by Lee Seok Woo has been working on something better.
According to a press release, the NTU team’s battery uses biocompatible materials coated with a glucose-based layer. The coating reacts with the sodium and chloride ions present in the battery to generate electricity. Since both sodium and chloride ions are also found in tears, the smart lens battery can also be recharged while in use with no additional effort from the wearer.
Speaking about the research, Lee Seok Woo said, “This research began with a simple question: Could contact lens batteries be recharged with our tears? Previous techniques for lens batteries were imperfect, as one side of the battery electrode was charged, and the other was not. Our approach can charge both electrodes of a battery through a unique combination of enzymatic reaction and self-reduction reaction”.
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According to the NTU team, the lenses should be good for a full day of use, and can also be placed in a special solution that keeps the battery charged. “By combining the battery and biofuel cell into a single component, the battery can charge itself without the need for additional space for wired or wireless components. Furthermore, the electrodes placed at the outer side of the smart contact lenses ensure that the eye’s vision cannot be obstructed”.
The NTU scientists are already working on boosting the amount of electricity the lens battery can deliver. Their research has been published in the journal Nano Energy, and they’re also in the process of partnering with contact lens producers to bring the technology to the market.
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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.
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.
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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.
