UC Mathematical Sciences’ Post

Men lie, women lie, but science never lies encapsulates the reliability and objectivity of scientific inquiry, contrasting it with the fallibility of human perception and bias. Computer science, as a discipline grounded in rigorous methodology and logical reasoning, embodies this principle. Its reliance on empirical evidence, systematic analysis, and reproducibility fosters trust in the validity of its findings. In an age where misinformation and subjective interpretations abound, the steadfastness of scientific truth offers a beacon of clarity and understanding. Thus, the admiration for computer science stems not only from its technical prowess but also from its unwavering commitment to uncovering truths that transcend individual perspectives and biases, providing a solid foundation upon which innovation and progress can thrive.

So with Bioinformatics 😉

Thrilled to share that I have participated and got a Certification at the National Symposium on "Innovation and Applications of Computational Sciences in Engineering and Technology." Let's talk more on this: If you guys have attended the symposium or if you want to share a similar interest in the convergence of computational sciences, engineering, and technology, I would love to connect! Let's continue the conversation and explore new opportunities for collaboration. Excited for the Future of Computational Sciences! #computational #sciences #innovation #engineering #technology #development

Science is the driving force behind human progress, and as science evolves, its horizons expand, leading to faster and deeper advancements. This is due to an inherent quality in science: accumulation. Every new discovery or innovation builds on previous knowledge, accelerating the pace of progress. With scientific advancement, new techniques and methods emerge, making it possible to achieve what once seemed impossible, often in record time. For example, developments in computing and artificial intelligence have accelerated scientific research and drug discovery, with computer simulations and machine learning now playing key roles in analyzing big data and arriving at precise results much faster than scientists could in the past. Science also helps solve complex problems facing humanity, such as climate change and sustainable energy. Advances in renewable energy, like solar and wind power, would not have been possible without progress in physics and material sciences. Moreover, modern science has significantly improved the quality of life through advances in medicine and the development of new treatments, which have increased life expectancy. In fact, the evolution of science resembles an accelerating feedback loop: every discovery opens the door to more questions, and each answer contributes to new fields of research and exploration. This continuous interaction between discovery and innovation enables science to provide effective solutions to emerging challenges faster than ever. In short, science is not just an accumulation of knowledge but a dynamic force that accelerates the realization of human aspirations, turning ideas into tangible realities in less time, thanks to technological advancements and modern scientific methods.

Science is the driving force behind human progress, and as science evolves, its horizons expand, leading to faster and deeper advancements. This is due to an inherent quality in science: accumulation. Every new discovery or innovation builds on previous knowledge, accelerating the pace of progress. With scientific advancement, new techniques and methods emerge, making it possible to achieve what once seemed impossible, often in record time. For example, developments in computing and artificial intelligence have accelerated scientific research and drug discovery, with computer simulations and machine learning now playing key roles in analyzing big data and arriving at precise results much faster than scientists could in the past. Science also helps solve complex problems facing humanity, such as climate change and sustainable energy. Advances in renewable energy, like solar and wind power, would not have been possible without progress in physics and material sciences. Moreover, modern science has significantly improved the quality of life through advances in medicine and the development of new treatments, which have increased life expectancy. In fact, the evolution of science resembles an accelerating feedback loop: every discovery opens the door to more questions, and each answer contributes to new fields of research and exploration. This continuous interaction between discovery and innovation enables science to provide effective solutions to emerging challenges faster than ever. In short, science is not just an accumulation of knowledge but a dynamic force that accelerates the realization of human aspirations, turning ideas into tangible realities in less time, thanks to technological advancements and modern scientific methods.

How do we innovate? It seams like there are 2 fundamental ways to grow human knowledge. The first is research, pushing the boundaries of the known universe with careful observation and experimentation. The second is interpolation, borrowing knowledge from one field of research and applying it in another.

MIT researchers made a breakthrough that seems to defy the laws of physics. They uncovered an ingenious technique inspired by ancient civilizations that allows massive 25-ton concrete blocks to be maneuvered and assembled without heavy machinery like cranes. By definition, innovation means to find a solution that would otherwise not exist. While the obvious solution may seem impossible, the critical mind believe it can be achieved and they find the way. As educational leaders we need to model this ourselves. There is always a way, a pathway and a solution to the greatest problems. Granted, compromises and a win-win may also be part of that solution. But there is a way.....

Are there any inventions that science will never be able to create? The question of whether there are inventions that science will never be able to create is quite philosophical and speculative. Here are a few concepts that suggest limitations on what science may be able to achieve: Perpetual Motion Machines: According to the laws of thermodynamics, especially the first and second laws, a machine that produces more energy than it consumes or operates indefinitely without an energy source is impossible. Time Travel: While theoretical physics allows for some possibilities regarding time travel (like wormholes), the practical and paradoxical implications suggest it may remain unattainable. Absolute Knowledge: The idea of creating a machine or system that can predict every future event or outcome with complete accuracy conflicts with the principles of chaos theory and uncertainty in quantum mechanics. Universal Cure for All Diseases: While advancements in medicine continue to improve healthcare, the complexity and variability of biological systems make a single, all-encompassing cure for every disease highly unlikely. Perfect Communication: Achieving a form of communication that is completely devoid of misunderstanding or misinterpretation may be impossible due to the inherent subjectivity of language and human experience. Sustainable Infinite Resources: While we can work toward sustainability, the concept of infinite resources in a finite system conflicts with fundamental principles of physics and resource management. Creating Life from Non-Life: While scientists can manipulate genetic material and create synthetic life forms, the origin of life from non-living matter involves complex processes that may remain elusive. Teleportation of Matter: While quantum teleportation exists at the particle level, the teleportation of complex matter (like humans) raises insurmountable challenges in terms of data transfer, reconstruction, and ethical considerations. While these concepts may be limited by current scientific understanding or principles, it’s important to recognize that science continually evolves. What seems impossible today might become feasible in the future with new discoveries and technologies.

Question or Trust? Within Science, two primary approaches exist: one advocates for "Trust the Science," while the other encourages us to "Question the Science." The former often leads to stagnation in thought, while the latter fosters innovation and the birth of new ideas and concepts. The core issue lies in the reluctance of the average person or scientist to challenge established norms. Many so-called modern innovations are not truly novel but rather reappearances of past ideas, repackaged for a new era—ideas that have been forgotten over time, as suggested by the Sumerian theory. Questioning accepted norms is not easy, as it often subjects the questioner to ridicule, labeling, or misunderstanding. This resistance to questioning stifles progress and innovation, particularly when financial gain is the driving force. "Trust the $cience" is less about genuine scientific inquiry and more about economic interests. This approach is not truly grounded in logical reasoning but rather in complex jargon and equations that are often incomprehensible to those outside the field. It is important to remember that any scientific theory, no matter how widely accepted, remains a theory. Human acceptance of a theory does not change its theoretical nature; many theories go unchallenged due to societal conditioning. Exploring the Law of Density Differential This law is based on the differences in the densities of substances and considers the equilibrium of forces that aim to achieve a net zero force in the direction of the lesser force, similar to the concept of diffusion. Alternatively, forces (N) can be understood as energy, where the difference in energy causes movement toward the area of lower energy, taking density differences into account. To illustrate this law, consider the following questions. 1. Why can't you walk on water? A: Because you are denser than water. 2. Why can't you fly? A: Because you are denser than air and lack the energy-generating capacity to overcome the difference in density. 3. Why can you stand on a roof? A: Because the opposing force in an upward direction is greater than the downward force your body exerts, and the roof is denser than your body. 4. Why do you fall to the ground if you step off the roof? A: Because the opposing upward force of the roof is removed from the equation, and your body is denser than air, possessing significantly more potential energy than the net zero effect at ground level. 5. Why did the apple fall from the tree? A: For the same reason as above. When the supporting twig is removed, the apple falls due to differences in energy levels and density, as a denser object will naturally move through a less dense medium like air. These simple questions yield five logical answers that are easily understood. The implications, however, are significant; if this law is accepted, all equations of movement must be reconsidered, as the law supersedes existing theories. Always question the science.

The Broken Science Manifesto Modern science is the source and repository of man’s objective knowledge. Scientific knowledge is siloed in models. A model maps a fact to a future unrealized fact as a prediction. A fact is a measurement. A measurement is an observation tied to a scale with an expressed error. An observation is a registration of the real world on our senses or sensing equipment. A model’s validation derives entirely from its predictive power. There are four grades of model ranked by predictive strength and they are conjecture, hypothesis, theory, and law. Predictive power is evidence of and reason for science’s objectivity, the sole source of science’s reliability and the demarcation between science and pseudoscience. Predictive power as determinant of a scientific model’s validity provides the basis for any rational trust of science. Models are predictions mapping a fact to an unrealized fact where the current fact constitutes the premises and the unrealized fact the conclusion of an inductive argument. Induction derives conclusions from premises with probability and not certainty. All scientific knowledge is therefore the fruit of induction validated by predictive power which is a measure of probability. – Greg Glassman