Quanta Magazine’s computer science coverage in 2023 included progress on new approaches to artificial intelligence, a fundamental advance on a seminal quantum computing algorithm, and emergent behavior in large language models.

Read about more breakthroughs from 2023 at Quanta Magazine: https://www.quantamagazine.org/thebi...

00:05 VectorDriven AI
As powerful as AI has become, the artificial neural networks that underpin most modern systems share two flaws: They require tremendous resources to train and operate, and it’s too easy for them to become inscrutable black boxes. Researchers have developed a new approach called hyperdimensional computing which is more versatile, making its computations far more efficient while also giving researchers greater insight into the model’s reasoning.
Original story with links to research papers can be found here: https://www.quantamagazine.org/anew...

04:01 Improving the Quantum Standard
For decades, Shor’s algorithm has been the paragon of the power of quantum computers. This set of instructions allows a machine that can exploit the quirks of quantum physics to break large numbers into their prime factors much faster than a regular, classical computer — potentially laying waste to much of the internet’s security systems. In August, a computer scientist developed an even faster variation of Shor’s algorithm, the first significant improvement since its invention.
Original story with links to research papers can be found here: https://www.quantamagazine.org/thirty...

07:14 The Powers of Large Language Models
Get enough stuff together, and you might be surprised by what can happen. This year, scientists found socalled “emergent behaviors,” in large language models — AI programs trained on enormous collections of text to produce humanlike writing. After these models reach a certain size, they can suddenly do unexpected things that smaller models can’t, such as solving certain math problems.
Original story with links to research papers can be found here: https://www.quantamagazine.org/theun...

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