Abstract
Artificial Intelligence (AI) has become a major technological force in the world today, transforming many aspects of human lives on a global scale. From healthcare to transportation, AI is revolutionizing the way we live and work with revolutionary applications. The possibilities for AI are truly endless, and its impact to revolutionize the world is only just beginning to be realized. As technology continues to advance, it is expected that more AI applications will further transform our lives for the better. Although some scientists think that the benefits of AI outweigh the risks, other experts in the field think that misuse of AI should be taken seriously. More than 8,000 researchers, engineers, executives, and investors have signed an open letter (March 2023) recommending a direction for responsible AI research that recognises social impact and seeks to build robust technology that aligns with human values.Artificial intelligence involves complex studies in many areas of mathematics, computer science, geology, chemistry, geology, cosmology, etc and other hard sciences. Experts outfit computers and machines with specialized parts, helping them emulate human cognitive performance and thought processes. Many machines and computers think quickly and can multitask, making them efficient and valuable tools. Complex machines, however, eventually warrant repairs and maintenance. As with other emerging forms of technology, their novel use poses a risk for catastrophic losses and failures in the event of malfunctions and economic damage. To make accurate chemical predictions, an AI system needs sufficient knowledge of the specific chemical structures that different reactions work with. Chemists who discover a new reaction usually publish results exploring this, but often these are not exhaustive. Unless AI systems have comprehensive knowledge, they might end up suggesting starting materials with structures that would stop reactions working or lead to incorrect products. AI plays an important role in the discovery of new drugs and antibiotics. A cooperation of researchers from MIT (Massachusetts Institute of Technology, Boston, USA) using an Artificial Intelligence (AI) algorithm and researchers from McMaster University (Canada) in 2023 identified a new antibiotic that can kill Acinetobacter baumannii bacteria, which was responsible for many drug-resistant infections. Researchers were very hopeful that they developed an effective antibiotic for use in patients to help combat Acinetobacter baumannii, a species of menacing drug-resistant bacteria that is often found in hospitals. From the 1960s, researchers realized that they could work out all individual interactions within a protein’s sequence, and they could predict its 3D structure-shape. Computational scientists jumped on the problem, but progress was very slow for many years. Accurate prediction of three-dimensional (3D) structure of proteins by the sequence of amino acids is pivotal for mastering their biological functions and helps immensely in the drug discovery for human diseases.
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