Tufts Computer Science Exchange

https://www.quantamagazine.org/the-best-qubits-for-quantum-computing-might-just-be-atoms-20240325/

The Best Qubits for Quantum Computing Might Just Be Atoms | Quanta Magazine In the search for the most scalable hardware to use for quantum computers, qubits made of individual atoms are having a breakout moment.

Coming up this Wednesday night! Watching the Social Network with free pizza!

Thinking about a career in tech? Looking to network with other CS students? Come to the recruitment session hosted jointly with WICS on Sunday, October 22 in JCC 270 and meet recruiters from DraftKings!

Born on this day in 1941, Dennis M. Ritchie received the 1983 with Ken Thompson, for their development of generic operating systems theory and specifically for the implementation of the UNIX operating system. https://tinyurl.com/wvaev25n

Come to our GIMs Monday and Tuesday at 6 pm in Braker 001!

AI Does Not Help Programmers Getting past the"Wow" effect.

Many researchers accept that models of machine learning are “black boxes” and impossible for humans to understand, but the computer scientist Cynthia Rudin has shown that interpretable variations can work just as well. https://www.quantamagazine.org/cynthia-rudin-builds-ai-that-humans-can-understand-20230427

Alan Turing’s Most Important Machine Was Never Built | Quanta Magazine When he invented Turing machines in 1936, Alan Turing also invented modern computing.

The Reed-Solomon code is a strikingly beautiful and conceptually straightforward method for error correction. “It can be taught to a second-year undergraduate in half an hour,” said Swastik Kopparty, a mathematician and computer scientist. https://www.quantamagazine.org/how-mathematical-curves-power-cryptography-20220919/

https://www.quantamagazine.org/tag/computational-complexity/?mc_cid=dfe98bb370&mc_eid=152526fbe6

Quanta Magazine Articles on Computational Complexity Explore Quanta’s computational complexity coverage.

Self-Taught AI Shows Similarities to How the Brain Works | Quanta Magazine Self-supervised learning allows a neural network to figure out for itself what matters. The process might be what makes our own brains so successful.