From a young age, Daniel Acuna has been fascinated by the idea of conversing with computers. Long before the advent of sophisticated language models and programming languages, he was a curious student in Chile, attempting to create a chatbot without formal programming knowledge. “I believed I could communicate with the computer,” he recalls. “And somehow, I managed to get it to respond to a few prompts. It was exhilarating. It may sound cliché, but my dream has always been to engage in dialogue with machines.”
This enthusiasm, combined with extensive academic and scientific training, has propelled Acuna across various disciplines and continents. He is now a faculty member at the University of Colorado Boulder, where he contributes to the innovative online Master of Science in Artificial Intelligence program. His journey began with an undergraduate degree in computer science, followed by a PhD in the same field from the University of Minnesota, and a postdoctoral fellowship in neuroscience. Throughout his career, Acuna has been dedicated to understanding the learning processes of both humans and machines, concluding that AI is not merely a fleeting trend.
“I have witnessed significant advancements in AI over the past two decades,” he states. “However, what we are experiencing now is a genuine revolution. AI is becoming the foundational layer of our society, influencing our lives, work, and education. We must prepare ourselves for this change. It is unavoidable, and we need to actively participate in it.”
The online Master of Science in Artificial Intelligence at CU Boulder was developed with this transformative vision in mind. Initially, Acuna had reservations about the effectiveness of online degrees compared to traditional campus programs. However, his perspective shifted rapidly.
“This technology will impact every sector,” he emphasizes. “Limiting access to those who can physically attend classes in Boulder is insufficient. We must extend our teaching to individuals everywhere.”
The online format enables students from diverse backgrounds and locations to acquire advanced AI skills, which they can apply in various fields such as healthcare, finance, education, and scientific research. Importantly, the program is also accessible to those without prior experience in machine learning.
“If you have an affinity for numbers and quantitative analysis, this course is ideal for you,” Acuna explains. “No prior knowledge of AI or machine learning is required. We will start from the ground up.”
When asked about the foundational skills necessary for success, Acuna elaborated, “Critical thinking, curiosity, and a solid grasp of mathematics are essential. You cannot escape the need for linear algebra, calculus, and probability.” He chuckled, adding, “It’s also crucial to understand how to conceptualize machine learning, enabling a machine to learn without explicit instructions, and to appreciate the significance of data and performance evaluation once a machine has learned.”
Acuna leads the Machine Learning Specialization, a core component of the MS in AI program, as well as courses in Data Science and Computer Science. His course is part of a performance-based admissions process for the MS in AI degree.
In his classes, students participate in a blend of traditional assessments, collaborative discussions, and practical projects. He emphasizes the importance of mastering the fundamentals while also applying them across various fields. Students are encouraged to utilize AI tools in their assignments, mirroring real-world applications.
“This course will be enjoyable. Participants will learn extensively and be able to apply their knowledge to their respective fields and lives.”
However, Acuna is realistic about the challenges posed by AI. He acknowledges the rapid pace of change, the cycles of hype, and the ethical complexities inherent in the field.
“Trends come and go in this domain. I was initially skeptical about neural networks. Yet, the tools available today—such as large language models and multi-modal AI—have transformed what is achievable.”
Looking ahead to the next 10 to 20 years, Acuna envisions a future where AI is not just a tool used in specialized areas but becomes a collaborative partner in the learning process.
“Soon, we will leverage AI to assist in our education. In scientific fields, we will work alongside AI as partners. The progress is difficult to halt. While challenges will arise, we must confront them, voice our concerns, and help shape the future.”
That is precisely what Acuna hopes students in the online MS in AI will accomplish. His advice for prospective students? Embrace the possibility of failure and continue learning through the experience.
“You will make mistakes. But the following week, you won’t repeat them. That indicates positive growth.”
Daniel Acuna’s enthusiasm for teaching is matched only by his commitment to lifelong learning, a necessity in the ever-evolving field of AI. His mission is to disseminate knowledge about AI to as many individuals as possible while continuously contemplating the future.
“Science represents one of humanity’s most advanced endeavors, and we are undergoing a significant technological shift. I aspire to impart this perspective to my students.”
The Machine Learning Specialization offers learners the chance to earn credits toward three online Master’s degrees from CU Boulder, including the Master of Science in Artificial Intelligence, the Master of Science in Data Science, and the Master of Science in Computer Science. This specialization can also serve as elective credit for the Master of Science in Electrical Engineering and the Master of Engineering in Engineering Management.