Author: Dzmitry Korsak

AI remote patient monitoring seeks to address a longstanding and complex challenge in medicine: translating chaotic streams of health data into a comprehensible and standardized format. This capability empowers medical professionals to prioritize effectively and respond to challenges in a timely manner. The primary “superpower” of AI is transforming a thousand signals, ex. heart rate spikes, into a single, actionable notification: “Pay attention, there is a problem!”

Today, AI is simultaneously a religion and an irritant: some hope that humanity has gotten its hands on a tool for explosive development; for others, the very disclaimer “made by artificial intelligence” already causes irritation. People worry that LLM will take jobs away from millions and, in the longer run, will become a superintelligence that will enslave humanity. And more and more often we hear that multibillion-dollar infusions into the industry are inflating a bubble that will soon burst.

Japan’s Dai Nippon Printing has unexpectedly set its sights on a market where until now one name has reigned supreme — ASML. The Dutch company controls around 90% of the global lithography equipment market and effectively holds a monopoly on EUV scanners, without which the most advanced chips are impossible. All modern electronics — from AI data centers to smartphones — quite literally depend on a single company and its machines.

As recently as yesterday, 32 GB of RAM for a PC was a routine purchase; today it looks like a full-fledged investment appreciating faster than gold and certainly faster than bitcoin. What is increasingly resembles a brewing crisis: the race to ramp up AI capacity is often coming at the expense of other sectors, and manufacturers whose products have had the good fortune to become coveted in this race are quick to reshuffle priorities, with little concern for the consequences for ordinary users.

The Japanese startup Integral AI has announced that it has created the “world’s first AGI-capable model.” According to a company representative, the team has achieved one of the ultimate goals of artificial intelligence development: enabling their AI model to learn new tasks “without pre-existing datasets or human intervention.”

Doctorina has arrived on Telegram — and it looks like one of the first notable cases of a specialized medical LLM stepping out of the…

American shoppers once again staged a record shopping marathon: according to Adobe Analytics, they spent $11.8 billion online on Black Friday 2025, 9.1% more than a year earlier. Globally, analysts put total online Black Friday sales at around $78–80 billion — and a substantial share of that pie now comes from European consumers hunting for discounts and increasingly turning to AI to help them choose what to buy.

In 2025, millions of people share the same experience: you ask an AI a perfectly reasonable question – and in response you either get confident nonsense or a polite refusal that reads like a lazy “please go away”. At the same time, the very same AI writes code brilliantly, helps draft contracts, and turns forty-page reports into summaries in seconds.

We trust fitness trackers to count our steps and calories, but can we trust a smartphone or watch with our sleep? It turns out, yes, provided we are talking about apps that have undergone clinical trials and received medical approval. Let’s look at three digital solutions that go beyond collecting data to actually diagnosing and treating sleep disorders.

Femtech is booming. According to FemTech Analytics, the sector is on track https://www.femtech.health/interactive-charts to reach $75.1 billion by 2025. Yet there’s also a “silent” potential worth $360 billion — an invisible market still untouched by today’s industry. Flo has long been a femtech synonym, but once you set aside that “obligatory first line,” you’ll find plenty of robust, evidence-based, and, crucially, battle-tested alternatives. Here are three apps we think deserve your attention.