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Watch videos about AI innovations in transportation

What If Smart City Indicators Are Measuring Wrong?
2:18

What If Smart City Indicators Are Measuring Wrong?

What if smart city indicators... are measuring things inaccurately? What if we reduced the smart city to mere numbers: speed, traffic flow, congestion... and forgot the human being... the very reason the city exists? For years, we focused on widening roads and accelerating flow. But the truth is simpler and deeper: Waiting with anxiety... and stress while driving... weigh heavier on people than congestion itself. The real question: Are we improving mobility? Or are we improving the human experience during mobility? Today, artificial intelligence is no longer just an observer. It predicts accidents before they happen, anticipates crises, and detects the moments when a journey becomes psychologically exhausting... Nearly 1.19 million people lose their lives annually in road accidents. By 2050, 68% of humanity will live in cities. And yet... The more we widen roads... the more congestion grows. As if we are treating the symptom... and ignoring the cause. And here lies the deeper question: Are we designing better cities... or algorithms that reshape our behavior and decisions? Systems that predict... can also direct. And here, governance, privacy, and fairness... become not mere options, but essential responsibilities. The future is not just about moving faster... but about measuring what we have long ignored: The human being... their experience... and their dignity.

Quantum AI & The Future of Smart Cities 2030
1:50

Quantum AI & The Future of Smart Cities 2030

What if the most advanced quantum smart city of 2030… isn't even on the map yet? By the end of this decade, up to 70% of traffic flows could be predicted before they even happen— not managed… but foreseen. And that raises a deeper question: if congestion is solved before it exists, what exactly are we optimizing anymore? Today, cities react in minutes. Tomorrow, quantum systems may react as if they exist outside of time. Digital twins are already simulating entire cities, testing decisions years before they are built, reshaping how we think about planning, risk, and control. But this is where the dilemma begins. If every possible scenario is mapped out in advance, does decision-making become faster… or infinitely more complex? Autonomous systems may reduce accidents by up to 90%, yet urban mobility demand could rise by 40% by 2035. So we are left with another paradox: if movement becomes faster and safer, do we move more people… or simply create more movement? And if quantum AI begins to understand the pulse of a city before we do, how do we shape its future… when the answers arrive before we even think to ask the questions? Let's think about that…