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Mall Of Cyprus And Mall Of Engomi Join Ablebook Platform

The Ablebook application has announced its new partnership with the Mall of Cyprus and the Mall of Engomi, integrating their spaces into its platform.

This partnership aims to facilitate access and provide information for people with disabilities and other vulnerable groups, a relevant press release notes.

Ablebook, an application on Android and iOS devices, aims to improve accessibility and support people with disabilities and other vulnerable groups by offering information and services that facilitate their daily lives.

As noted in the press release, the Mall of Cyprus and the Mall of Engomi offer a range of accessible infrastructure, such as dedicated parking spaces near the entrances, ramps, accessible toilets and comfortable wheelchair spaces.

“Through this partnership, Ablebook users visiting the specific malls can be informed about the accessible facilities and ask for assistance, if needed, from the relevant mall staff. This ensures that all visitors can enjoy their shopping experience and moments without obstacles,” the press release adds.

“Our collaboration with the Mall of Cyprus and Mall of Engomi is another step towards a more equal and open society for all. By offering facilities and services that cater to the needs of people with disabilities, shopping centers contribute positively to social progress and solidarity,” Ablebook’s announcement concludes.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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