When Allen Newell, Cliff Shaw, and Herbert Simon invented the Logic Theorist in 1956, they never could have imagined how their program would shape the future. In the 65 years since the Logic Theorist’s creation, artificial intelligence has evolved from a highly conceptual program to the backbone of modern industry. Today, artificial intelligence can be found in numerous industries, including healthcare, retail and commerce, food tech, travel, real estate, and education. For the past twelve years, Dr. Kelly Roan explains that companies and advisory firms in Silicon Valley have been tweaking their non-dilutive funding solutions and specialization in large-scale technology companies to accommodate new developments in tech. Since their foundation Clark Street Associates has worked with a number of major AI companies and seen first-hand the latest innovation in artificial intelligence. Below, we discuss these innovations and what the future of AI may look like in 2024.
Advanced Pre-trained Language Models
Within the last five years, the world has seen great innovations take place in the Natural Language Processing space, including the widely discussed application Transformers and Attention. This model has revolutionized language translation, summarization, and comprehension with one major flaw, time. These models are incredibly expensive and time-consuming to train, leading to industry leaders turning to new, pre-trained models. Of the best notable examples of advanced model accessibility via API is GPT-3, which has been used for a variety of impressive activities ranging from writing code to poetry.
Low Code/No Code
For many years, AutoML has been used for algorithmic selection as well as Machine Learning and Deep Learning dataset solutions. However, this past year has seen new growth in the Low-Code/No-Code movement, with the application now targeted toward vertical AI solutions for businesses. While AutoML was primarily used to build AI models without Data Science knowledge, modern uses of Low-Code/No-Code technology have created a new series of production-grade AI applications.
Quantum AI
One of the less frequently discussed uses of AI is its role in quantum supremacy in the workplace. Quantum computers can solve problems in a fraction of the time it takes classic computers to, which has inspired companies to use supercomputers and other Quantum technology. Quantum computers help organizations identify inaccessible issues and provide fast and comprehensive solutions. Today, these computers are used in multiple fields ranging from healthcare to finance.
