Iuliia Gorshkova

Every engineering leader has heard it. The project is stalled, a key metric is in the red, and the solution proposed in a meeting sounds deceptively simple: "We just need to fine-tune the model," or "We just need to add RAG." These phrases have become the engineering equivalent of "have you tried turning it off [...]

The fusion of artificial intelligence and robotics is transforming humanitarian logistics, driving a quiet revolution across Africa and the Middle East and North Africa (MENA) region. In places where unpredictable terrain, fragile infrastructure, and conflict impede traditional aid delivery, autonomous vehicles and intelligent robots are redefining what is possible. Their impact is not only technical; [...]

The air in the engineering community feels strangely familiar, reminiscent of the early days of deep learning when we were all just figuring out what a tensor actually was. We are standing on the precipice of a shift not just in scale, but in fundamental architecture. The current generation of Large Language Models (LLMs) has [...]

There’s a peculiar hum to the way we build artificial intelligence right now. It’s the sound of engines burning computational fuel at a rate that would make a jet engine blush, all to generate a sequence of tokens that often feels… surprisingly thin. We have systems capable of writing elegant code, drafting legal documents, and [...]

For years, the trajectory of artificial intelligence progress has been plotted on a simple graph: as the parameter count of models increases, and as the dataset they are trained on grows exponentially, performance scales predictably. This was the core thesis behind the "bigger is better" era, a period defined by the relentless pursuit of scale. [...]

In the intricate landscape of modern industry, the fusion of artificial intelligence with robotics has begun to quietly redefine the way maintenance is approached. Predictive maintenance, once reliant on periodic schedules and human intuition, is transforming under the stewardship of AI-powered robots. These intelligent systems are now entrusted with the responsibility of monitoring, diagnosing, and [...]

Every engineer remembers the first time they truly felt the weight of a decision. It’s rarely the big, flashy moments—the production outage at 3 AM or the architectural overhaul that takes months. Instead, it’s usually something deceptively simple: a data point that doesn’t quite fit the pattern, a heuristic that fails on an edge case, [...]

Smart homes have evolved rapidly over the past decade, moving from simple systems that control lighting and temperature to complex ecosystems integrating artificial intelligence and robotics. This transformation is not just about convenience; it addresses pressing societal needs, especially in elderly care, household management, and home security. The synergy between AI and robotics is redefining [...]

There’s a particular kind of frustration that settles in during the late stages of building a machine learning system. You have the data pipeline humming, the model architecture is performing well on validation sets, and the inference latency is within budget. Yet, when you try to integrate this system into a broader application, everything falls [...]

In recent years, the field of robotics has witnessed a remarkable shift. Women, once outnumbered and often overlooked in technical domains, are now spearheading some of the most innovative robotics startups and research labs across Europe and the United States. Their journeys, marked by resilience and insight, are not only inspiring their contemporaries but also [...]

For the longest time, I’ve been fascinated by the way we talk about Large Language Models. We describe them as "reasoning," "thinking," or even "understanding." As someone who has spent years writing compilers and optimizing kernels, I tend to get a little prickly about these terms. When I see a model generate a flawless block [...]

The pervasive spread of plastic pollution across oceans and rivers has galvanized a new generation of innovators. Recent years have seen the emergence of autonomous robots and AI-driven platforms designed specifically to tackle the daunting task of aquatic cleanup. These technologies promise not only to revolutionize environmental restoration but also to generate data crucial for [...]

When we talk about long-horizon tasks, we are essentially discussing the challenge of maintaining coherence over extended sequences of actions or generations. In the context of AI and computational linguistics, this isn't just about producing a long text; it is about ensuring that the output remains consistent with a global objective, adhering to constraints that [...]

In recent years, the field of robotics has witnessed a remarkable shift: the convergence of deep learning and symbolic reasoning, a paradigm now commonly referred to as neuro-symbolic AI. This approach promises to transcend the limitations of purely statistical models and traditional logic-based systems, opening up new possibilities for intelligent, interpretable, and adaptable robotic agents. [...]

When we talk about artificial intelligence, particularly in the realm of large language models and generative systems, the conversation almost always gravitates toward the model’s parameters—the billions of weights frozen in time, representing a static snapshot of knowledge. Yet, anyone building production-grade AI systems knows that the real magic, and the real engineering challenge, lies [...]

If you’ve ever trained a neural network on one task and then tried to teach it a new one, you’ve likely witnessed a peculiar phenomenon: the model suddenly becomes terrible at the first task. It’s not just a matter of being a little rusty; it’s as if the knowledge was completely erased from existence. In [...]

There's a particular kind of dread that settles in when you watch an AI system you've built slowly, inexorably, turn against its own initial purpose. It’s not a dramatic Skynet moment. It’s a quiet, statistical drift. The model that once flawlessly categorized support tickets starts conflating urgent bug reports with feature requests. A recommendation engine, [...]

In recent years, the convergence of artificial intelligence and robotics has begun to reshape mental health research in ways previously imagined only in science fiction. From intricately programmed therapy companions to robots designed to assist autistic children in social learning, the frontier of mental health care now extends well beyond the traditional clinic or counselor’s [...]

Most of us have been there: staring at a system that knows everything but understands nothing. You ask it a question, and it retrieves a relevant document, maybe even a few. It hands you a block of text that looks promising. But when you ask for a synthesis, for a step-by-step deduction, it stumbles. It [...]

Recent years have seen an extraordinary evolution in the field of autonomous aerial vehicles, with AI-enhanced swarm drones emerging as a promising technology for logistics. Swarms of drones, equipped with advanced artificial intelligence algorithms, are no longer confined to science fiction. Today, they are actively shaping the landscape of package delivery and supply chain management [...]

For years, the dominant paradigm in machine learning and information retrieval has been anchored in the concept of vector space. We learned to map words, images, and even complex code snippets into high-dimensional geometric landscapes, where proximity equated to relevance. It was a beautiful, mathematical simplification: the closer two points were, the more similar they [...]

Landmines and unexploded ordnance remain an insidious threat long after conflicts have ended, undermining recovery, endangering civilian populations, and hampering economic development in affected regions. As the international community grapples with the challenge of humanitarian demining, robotics have emerged as a transformative force, offering new possibilities for safer, faster, and more efficient landmine detection and [...]

We often marvel at the fluidity of a large language model's response, its ability to synthesize poetry or debug code with startling accuracy. Yet, beneath the surface of this linguistic prowess lies a fundamental limitation: the model is navigating a static landscape of symbols, not a dynamic world of cause and effect. It has learned [...]

As robotics evolves beyond industrial arms and into dynamic, real-world environments, the demand for intelligent, adaptive computation at the edge has never been more acute. The heart of this revolution lies in a new generation of AI chips—architectures purpose-built for the unique demands of robotics, where latency, energy efficiency, and on-device learning are no longer [...]

When we talk about AI hallucinations, it’s tempting to imagine a machine simply "making things up." In reality, the phenomenon is far more mechanical and deterministic. Large Language Models (LLMs) are autoregressive probability engines; they generate text by predicting the next most likely token based on the previous sequence. If the training data contains patterns [...]

The accelerating loss of biodiversity has placed conservationists at a critical juncture. While traditional methods of wildlife monitoring and protection remain essential, the integration of artificial intelligence and robotics is reshaping how ecosystems are understood and safeguarded. From the dense forests of the Congo Basin to the vast savannas of East Africa, technological innovations are [...]

We are living through a strange renaissance in computer science. For the past decade, the dominant paradigm in artificial intelligence has been the end-to-end neural network: a massive, monolithic function approximator that swallows raw data and spits out predictions. We’ve thrown compute and data at problems with a brute-force optimism that would make a 1980s [...]