Computer Scientists Awards

The emerging network of mutualistic technologies – including extended reality (XR), artificial intelligence (AI) and sensors – is set to benefit a number of industries and applications, not least robotics.The synergistic effects of these technologies have the potential to advance robotics and radically transform the possibilities of integrating robotics into economies and societies. The potential to drive new markets, increase productivity, and enable novel service applications is substantial. The advent of embodied AI marks a step towards making AI available across applications. As defined by Nvidia, embodied AI represents “the integration of artificial intelligence into physical systems, enabling them to interact with the physical world”. Embodied AI goes beyond robotics in the strict sense and applies to smart systems and infrastructures more generally. It extends the capabilities of AI to physical systems – such as buildings, robots and autonomous vehicles like cars, trucks and rob...

The authors argue that AI is the structural enabler of this paradigm shift. It combines machine learning, big data, the Internet of Things (IoT), and intelligent robotics to enhance operational efficiency while personalizing production systems. The result is an industrial ecosystem that adapts dynamically to human needs, resource availability, and market demands. Anew study outlines a transformative vision for the next industrial era, Industry 5.0, driven by artificial intelligence (AI) and defined by collaboration between humans and machines. The study, titled “Towards an Industry 5.0 Enhanced by AI: A Theoretical Framework,” published in Engineering Proceedings, was presented at the 7th International Conference on Advanced Technologies for Humanity (ICATH 2025) in Kenitra, Morocco. It introduces a new theoretical model that positions AI as the backbone of industrial innovation, productivity, and sustainability, while warning that human factors, ethics, and governance must remain cent...

Time crystals are an exotic phase of matter that break the conventional rules of physics. Unlike ordinary crystals, which have repeating patterns in space, time crystals display repetition in time. Their atomic or quantum states oscillate at fixed intervals without consuming energy, essentially existing in perpetual motion without violating thermodynamic laws. This unusual stability and periodicity make time crystals especially promising for quantum computing, where maintaining coherence and minimizing error are critical challenges. One of the biggest obstacles in quantum computers is decoherence—the tendency of qubits to lose their state due to external disturbances. Time crystals could offer a solution by providing qubits with a naturally stable environment that resists noise and energy loss. Their ability to sustain oscillations indefinitely means they could function as highly reliable qubits or be used to support error-resistant quantum memory. Recent experiments using trapped ions...

In B2B markets, where purchase decisions often stretch over months and involve multiple stakeholders, Adobe is pushing a bold bet: that agentic AI can now meaningfully reshape both how buyers decide and how marketers intervene. Last week, it announced a suite of AI agents built for B2B sales and marketing teams, tools intended to simplify what are historically long, opaque buying cycles. At stake is more than marketing efficiency. The promise is to shift the role of sales and marketing from campaign execution to more strategic orchestration, and to do so in a world where 70% of buyers reportedly complete their research before speaking to a salesperson. In that landscape, Adobe contends, the old funnel is failing, and the new battleground is real-time, cross-channel, AI-led interaction. Complexity, committees and fragmented data B2B purchases rarely hinge on a single decision-maker.  Instead, committees with evolving views must converge on consensus. Each participant brings differen...

Processing data in orbit reduces delays and the heavy load on Earth-based stations. These space supercomputers use solar power and radiate heat naturally in space, making them energy efficient and environmentally friendly compared to large Earth data centres. AI lets satellites make their own choices. For example, NASA’s Dynamic Targeting tech allows satellites to decide where to focus sensors finding wildfires or storms immediately instead of waiting for human commands.Space supercomputers will help in climate monitoring, disaster response, and scientific research. They might also support deep space missions, allowing spacecraft to process data and operate independently far from Earth. What if satellites in orbit were no longer just passive observers but powerful supercomputers capable of processing data in real time? This video explores the transformative concept of Space AI—where satellites evolve into intelligent, autonomous computing hubs orbiting Earth. Instead of sending massive...