Who will be the future leaders in technology?

Great question; predicting "future leaders" in technology depends on the people and leadership styles that will matter in the future. Although I am unable to provide a definitive list of those who will rule the tech industry over the next ten to twenty years, I can outline the types of leaders and leadership qualities likely to rise, as well as the characteristics to look for. 

The most likely key leadership profiles. The following characteristics set the technology industry leadership categories apart from one another 

The "visionary driven by AI and data" * Due to the increasing significance of AI, massive data sets, automation, and algorithmic decision-making for business success.

These leaders will not just *use* AI, but build organizations around it: new business models, new products, new competitive moats.

They will ask the hard questions: how do we align AI/algorithms with strategy, how do we govern them responsibly, how do we scale them?

A keen interest in technology, proficiency with data and algorithms (even if they do not code themselves), and a keen sense of strategy are examples of characteristics. 

The hybrid/human-centered technologist

Even though technology is the engine, people still drive the results.  The future leaders will balance machine capabilities* with *human values*.

Leadership shifts indicate the significance of empathy, emotional intelligence, a sense of purpose, and continuous learning.

They’ll lead remote/hybrid teams, cross-geographies, and multicultural environments.

They’ll also integrate sustainability, ethics, and responsibility into tech choices — not just profitability

The infrastructure & resilience architect

 As technology gets more embedded across industry, leaders who can build scalable, secure, resilient infrastructure* will be crucial.

Trends: multi-cloud, hybrid cloud, zero-trust cybersecurity, and sustainability of data centers. 

These leaders are aware of the complexity, risk, and regulatory/geopolitical dynamics.  They don’t just innovate; they ensure continuity and trust.

The ecosystem & platform maker

Instead of just running businesses, future tech leaders will build platforms and ecosystems. They will not only have an effect on products, but also on entire markets and business strategies. Their leadership will involve open innovation, standardization, and global collaboration.

Things to look for in those potential leaders. Signs that a person could become one of those future leaders are as follows: * A track record of *transforming* or scaling a tech business.

 Evidence of strategic thinking about *what’s next*, not just managing what is.

 Comfort with ambiguity and rapid change.

 Accurate moral judgment and awareness of the effects on society (privacy, fairness, and the environment).   Because of their global mindset, they are able to form networks and interact with people from various cultures and locations.  the capacity to collaborate with people, technology, and business.   Openness to learning and adaptation.

 Why this matters globally — including places like Pakistan

 Given that you are in the Pakistani city of Multan, this is of particular significance. The future technology leaders won't just come from Silicon Valley. New geographies have the potential to produce leaders thanks to global connectivity, talent, remote teams, and digital business models.   So if you or someone in your region develops the traits above, the opportunity is real.

If you'd like, I can "predict" which of these people will rise to the top of the tech industry in the next five to ten years and "identify five to ten actual people" who already exhibit these leadership qualities anywhere in the world.

Mimicking the brain can improve AI performance

By imitating the neural networks that are found in the human brain, researchers at the University of Surrey have developed a novel strategy for improving the performance of artificial intelligence (AI).  According to a study published in Neurocomputing, mimicking the brain's neural wiring can significantly improve the performance of artificial neural networks used in generative AI and other modern AI models such as ChatGPT.

 Topographical sparse mapping connects each neuron only to nearby or related neurons, similar to how the human brain efficiently organizes information. Dr. Dr., a senior lecturer, said, "Our work shows that intelligent systems can be built much more efficiently, cutting energy demands without sacrificing performance." Roman Bauer says that the researchers said that the model had significantly fewer connections that weren't needed, which improved performance over time without affecting accuracy. "Training many of the popular large AI models of today can use more than a million kilowatt-hours of electricity," the doctor asserts. Bauer added. "That simply isn't sustainable at the rate AI continues to grow."

 A training method based on biology known as "pruning" is now included in an improved version of Enhanced Topographical Sparse Mapping. This is comparable to the learning process, in which the brain gradually strengthens its neural connections. The research team is also looking into how the method could be used in other contexts, such as more realistic neuromorphic computers, which are computers based on how the brain works and works.

H2-6 Multirotor Drone with Advanced Optical Gas Imaging Capabilities

Cellen has announced the successful integration of the AerialOGI Neutrino Optical Gas Imaging (OGI) sensor on its H2-6 hydrogen-powered multirotor drone, creating a powerful new platform for advanced aerial emissions monitoring and industrial inspection.

 Cellen H2's H2-6 Unmanned Aerial System, a hydrogen-fueled hexacopter, was designed for extended flight times.  Using a fuel cell system that uses reverse electrolysis, the H2-6 can fly for more than 130 minutes. As a result, operators can survey multiple locations simultaneously and with minimal downtime. Mechanical complexity, noise, and potential failure points are reduced by the fully electric propulsion system. The aircraft's modular payload architecture makes it ideal for a variety of industrial and environmental applications because it enables quick field swapping between sensors like EO/IR, LiDAR, and high-resolution visual cameras.

Important Points Hydrogen power for a long time (more than 130 minutes) OGI methane detection with high precision Modular, Made-in-USA system for industrial and environmental missions.