Iuliia Gorshkova

When a self-driving car causes an accident, or a medical diagnostic tool misses a critical tumor, or a large language model generates defamatory content, the immediate question is rarely about the technical failure mechanism. Instead, society demands a simple answer: who is responsible? This question of ownership is not merely a legal curiosity; it is [...]

There’s a specific kind of vertigo that hits a technical team when the graphs on their dashboard start looking less like data and more like a vertical asymptote. It usually happens around 3:00 AM on a Tuesday. The system you’ve meticulously architected, the one that felt robust and performant when you were testing it against [...]

There is a particular kind of dread that settles in when you are debugging a recursive function or a long-running agent loop, and the output stream just… doesn’t stop. The memory usage climbs, the CPU fans spin up, and you are left staring at a blinking cursor, wondering if you’ve accidentally summoned a digital demon [...]

There’s a specific kind of quiet that settles in an operating room just before the surgeon makes the first incision. It’s a silence born of intense concentration, of a team trusting their training, their instruments, and increasingly, the silent hum of a robotic arm guiding the surgeon’s hands. The system displays a trajectory, a suggested [...]

There’s a persistent and frankly dangerous misconception in the technology sector that artificial intelligence, particularly machine learning models, operates with the same kind of autonomy as a well-compiled C++ binary or a robust database server. We tend to view these systems as "solved" once the training accuracy hits a certain threshold and the model is [...]

When we talk about artificial intelligence, the conversation often drifts toward the sensational successes—models that can generate photorealistic images from a whisper, or systems that defeat grandmasters in games of infinite complexity. Yet, as an engineer who has spent countless nights debugging stubborn code and training models that stubbornly refuse to converge, I find the [...]

Every engineer who has spent more than a weekend tinkering with Large Language Models (LLMs) eventually hits the same wall: the "prompt graveyard." It’s that sprawling, chaotic directory of text files, screenshots, and half-remembered conversations where you found a prompt that generated something brilliant, only to lose the thread when you tried to replicate it [...]

There’s a specific kind of magic that happens when you watch a true master at work. It might be a database administrator who glances at a query plan and immediately spots the missing index that’s causing a full table scan, or a network engineer who can diagnose a complex routing loop just by listening to [...]

It’s a peculiar artifact of our industry that we often conflate the ability of a system to produce a correct answer with its trustworthiness. We measure model performance on benchmarks like MMLU or HumanEval, celebrate when the numbers tick upward, and implicitly assume that higher accuracy translates directly to user adoption and reliance. But anyone [...]

For years, we’ve spoken about Artificial Intelligence as if it were an actor, an agent with intent. We anthropomorphize it, projecting onto it our own anxieties and aspirations about autonomy. But the most profound shift happening right now isn’t about AI replacing human agency; it’s about AI fundamentally changing the texture of how we interact [...]

The first time I truly appreciated the fragility of an intelligent system was not in a lab, but in a cramped, windowless server room in 2018. A complex predictive maintenance model for industrial turbines was humming along, processing vibration data with remarkable accuracy—until it encountered a sensor configuration it had never seen before. The model [...]

It’s a peculiar thing, watching a system designed for near-infinite scale suddenly choke on something as simple as a request to summarize a paragraph. We tend to imagine artificial intelligence, particularly Large Language Models (LLMs), as these fluid, omnipotent entities. They write poetry, they generate code, they converse with uncanny fluency. But strip away the [...]

For years, the dominant narrative surrounding artificial intelligence development has revolved around the "data scientist" archetype. We envisioned lone geniuses wrestling with mathematical abstractions, tweaking hyperparameters in a Jupyter notebook, and discovering novel architectures in a flash of algorithmic insight. While this romanticized view captured the early breakthroughs of deep learning, the reality on the [...]

In the last decade, the synergy between artificial intelligence and robotics has redefined what machines can accomplish, especially in places humans seldom reach. Extreme environments such as volcanic craters, the abyssal depths of the ocean, and the relentless Arctic are no longer off-limits. Instead, they have become frontiers for discovery, made accessible by AI-driven robots. [...]

There's a quiet revolution happening just beneath the surface of the generative AI hype cycle, and it has almost nothing to do with the models themselves. While the world obsesses over parameter counts, context windows, and the latest reasoning tricks from frontier labs, a far more pragmatic and arguably more important ecosystem is solidifying in [...]

As the digital landscape transforms, artificial intelligence (AI) and robotics have quietly embedded themselves in the daily rhythms of supermarkets and retail environments across Europe and Latin America. Far beyond the realm of science fiction, these intelligent machines now walk aisles, scan shelves, interact with customers, and manage inventories. Their presence is reshaping both operational [...]

Most AI projects are celebrated at launch. They get the keynote, the press release, the initial surge of user traffic. But the real work begins after the applause dies down. It’s the quiet, relentless grind of keeping a system alive, relevant, and safe in a world that refuses to sit still. If you’ve ever built [...]

In the past decade, the rapid integration of robotics and artificial intelligence into military operations has intensified global debates about the moral boundaries of warfare. **Autonomous weapons**—sometimes referred to as “killer robots”—are no longer the stuff of science fiction, but an emerging reality that challenges traditional frameworks in international law, ethics, and military strategy. As [...]

Every time I debug a complex distributed system, I'm reminded of a story from my early days in operations. We had a production issue that only manifested in a very specific time window, around 3:00 AM, and only for users in a particular geographic region. The logs were sparse, the metrics were aggregated, and the [...]

In the heart of the modern industrial revolution, smart manufacturing emerges as a symphony of data, machines, and intelligence. The convergence of AI, robotics, IoT, and ultra-fast connectivity such as 5G is not merely a technological leap; it is a profound reimagining of how factories think, adapt, and produce. Across continents, from the precision-driven plants [...]

There's a quiet revolution happening inside the spreadsheets and server racks that power our world, and it has almost nothing to do with sentient robots or sci-fi futures. It’s happening in the mundane, high-stakes meetings where managers approve budgets, doctors choose treatments, and engineers push new code. The decision-making process itself—the very rhythm of how [...]

Humanoid robots have become emblematic of our quest to engineer machines with human-like intelligence and adaptability. The cornerstone of this ambition lies in cognitive architectures—the computational blueprints that enable perception, reasoning, learning, and planning. Over the past two decades, leading research groups in Europe and the United States have developed a spectrum of architectures, each [...]

There's a particular kind of conversation with a modern Large Language Model that feels like staring into a mirror that talks back. You ask it to explain a complex algorithm, perhaps something as intricate as the backpropagation through time in a Recurrent Neural Network, and it delivers a response that is not only coherent but [...]

There’s a particular kind of magic that happens in a demo environment. It’s the kind of magic that makes venture capitalists reach for their checkbooks and product managers start drafting press releases. The model performs flawlessly, the latency is imperceptible, and the error rate is exactly zero. It’s a beautiful, pristine system running on a [...]

There’s a peculiar romance in the tech world surrounding the word "magic." We use it to describe features that feel intuitive, interfaces that seem to read our minds, and algorithms that produce results defying simple explanation. In the early days of machine learning, this magic was a selling point. It was the "black box" that [...]

The vast, unpredictable ocean has always tested human ingenuity. Today, as our need for renewable energy intensifies, the focus has shifted towards harnessing the immense power of waves and tides. Yet, the ferocity and remoteness of marine environments pose enormous technical and safety challenges. This is where artificial intelligence and robotics are quietly revolutionizing the [...]

Every machine learning engineer has a story about the moment their model, which performed flawlessly in the controlled environment of the lab, met the chaotic reality of the world. It’s a rite of passage. You might have a model that achieves 99% accuracy on a benchmark dataset, a score that looks fantastic on a slide [...]