News

Istanbul Fights Disease-Carrying Mosquitoes Using A Smartphone App

There are approximately 190,000 mosquito habitats in Istanbul, and 80% of them wouldn’t exist if it wasn’t for humans creating ideal breeding conditions.

Published

6 years ago

April 22, 2021

Joanna Melki

istanbul fights disease carrying mosquitoes using a smartphone app

Unsplash

With the world’s attention focused on the still ongoing coronavirus pandemic, it’s easy to forget that there are many other serious health problems affecting the lives of people around the world. Istanbul is one of the countless cities that have been invaded by disease-carrying mosquitoes, and the city’s civic body has recently decided to solve this problem using modern technology.

More specifically, the Istanbul Municipality has released a smartphone app whose purpose is to identify different mosquito species in the city and create a real-time map showing their location. The gathered information will allow city officials to take appropriate actions in order to stop, or at least slow down, the spread of mosquitoes in the city of hundred names.

The biggest challenge is the fact that not all Istanbul residents own high-end smartphones with high-resolution cameras capable of taking detailed pictures of tiny mosquitoes, especially under poor lighting conditions. That said, even less-than-ideal pictures can help officials map out the general presence of mosquitoes in Istanbul, which can go a long way in tackling the infestation.

Önder Yüksel Eryiğit, a senior municipal official, said that there are approximately 190,000 mosquito habitats in Istanbul, and 80 percent of them wouldn’t exist if it wasn’t for humans creating ideal breeding conditions for mosquitoes.

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Academics have warned the Istanbul Municipality about the possibility of mosquitoes infected with Zika and West Nile viruses already making the city their new home. To prevent a deadly outbreak of these and other infectious diseases, it’s important to act quickly and avoid letting the problem get out of hand.

This certainly isn’t the first application of mobile apps in the Middle East for the purposes of solving pressing healthcare issues, and it’s safe to say that it won’t be the last. For example, during the early stages of the coronavirus pandemic, a group of 16 technology enthusiasts from Turkey developed a contact-tracing app to instantly alert users who had contact with infected people.

News

ESET Bets On Specialized Security AI At 0.5% The Training Cost

ESET says NeoCortex can estimate an attacker’s next move, with a kill switch and human oversight built in to keep it from going rogue.

Published

5 days ago

November 4, 2026

Dana Saadeh

eset bets on specialized security ai at 0.5% the training cost

A sign-in anomaly, a suspicious process launch and an unusual connection may look harmless alone. Together, they can describe an intrusion that is hard for security to teams to piece together.

To solve that problem, ESET announced ESET NeoCortex on November 4, 2026: a specialized foundational AI model for cybersecurity. It powers ESET LiveCortex, available within the ESET PROTECT Platform, which connects fragmented security signals and turns them into actionable incidents.

Filtering is the main selling point, with LiveCortex processing billions of raw telemetry events daily, and just 0.00111% of them contributing to incidents presented to customers. The aim is less alert fatigue and more analyst time spent on threats that matter.

NeoCortex is built on world-model architecture, learning how digital environments behave and how events relate. ESET says that lets it reconstruct missing incident context, recognize similar past cases and estimate an attacker’s likely next step – what the company calls “minus-one-day defense,” a chance to intervene before the next stage unfolds. ESET points to Black October, the week leading up to October 25, 2026, when critical security issues affecting PHP, Linux, GitLab and other key systems demanded rapid, prioritized responses, as the kind of moment where that context matters.

ESET’s internal research also suggests a specialized model like NeoCortex can be trained at up to 200 times lower cost than a large general reasoning model, while delivering more accurate, defense-focused results. The company credits optimized training, a focus on cybersecurity vocabulary, lower computing requirements and privately owned hardware.

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“AI is accelerating both cyberattacks and cyberdefenses. With ESET NeoCortex, we are applying our AI investment to develop specialized foundational cybersecurity intelligence that remains under our control and strengthens, rather than replaces, human expertise,” said Juraj Malcho, Chief Technology Officer at ESET.

As part of the design, NeoCortex forms part of a layered architecture combining specialized models, deterministic controls, correlation logic, validation, auditability and expert human oversight. Safeguards include restricted sandboxes, read-only tools, continuous monitoring, defined usage and token limits, a kill switch and human oversight of critical response decisions. The model is also developed and self-hosted on ESET’s own infrastructure, which the company says reduces exposure to shifts among third-party AI providers, including commercial and geopolitical ones.