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Full-Text Articles in Physical Sciences and Mathematics
The Future Possibility Of Consumer-Grade Quantum Computers, Peter Dolan
The Future Possibility Of Consumer-Grade Quantum Computers, Peter Dolan
Missouri S&T’s Peer to Peer
Quantum computers are rapidly evolving and are on the edge of becoming useful for the first time. The theoretical limit of computational speed for quantum computers would put even small-scale quantum computers well ahead of any classical computer. With more researchers attempting to build their own, it has become a race to see who can create the first truly useful quantum computer. Once such computers become both useful and prevalent, massive advancements in many fields of science can be achieved, leading to a scientific revolution. Advances in quantum computing lead some researchers and consumers to question whether the technology can …
The Viability Of Quantum Computing, Brennan Michael King
The Viability Of Quantum Computing, Brennan Michael King
Missouri S&T’s Peer to Peer
Quantum computing is an upcoming computational technology that could be the key to advancing the field and ushering in a new era of innovation. In this paper examines the viability of quantum computing extensively using only highly credible peer-reviewed articles from the last few years. These peer-reviewed articles will provide relevant facts and data from prominent researchers in the field of computer engineering. A growing problem in the field of electronics and computers is the concept of Moore’s law. Moore’s law refers to the doubling of transistors every two years in integrated circuits. Recent research has suggested that electronics may …
The Dangers Of Human-Like Bias In Machine-Learning Algorithms, Daniel James Fuchs
The Dangers Of Human-Like Bias In Machine-Learning Algorithms, Daniel James Fuchs
Missouri S&T’s Peer to Peer
Machine learning algorithms (MLAGs), frequently used in artificial intelligence (AI), rely on using patterns across sets of data to derive decision-making intelligence. In recent years, as society continues to give increasing authority to ML-driven AIs, these algorithms have demonstrated the ability to take on human-like discriminatory biases. Microsoft's "Tay," for example, a social media-based chatbot, went from resembling a normal teenage girl to displaying racist and sexist attitudes in a mere sixteen hours). Tay and many other ML-driven implementations across a wide variety of fields have replicated numerous human biases. In most cases, these human-like biases originated due to improper …