News
Project Teams Spend the Summer Excelling in Competitions, Traveling Globally
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This summer, many of Cornell’s project teams continued to pursue their passions, ranking high at prestigious competitions and traveling across the globe.
News
Gia Mar Ramos ’25 Featured in Inaugural Forbes Puerto Rico 30 Under 30 List
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Gia Mar Ramos ’25 was named to the first Forbes Puerto Rico Local 30 Under 30 List for empowering girls to pursue computer science.
Opinion
KUBINEC | The Tragic Loss of Hoy Field
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The razing of Hoy Field is about so much more than baseball. It’s a sign of how narrow our conception has become of what kind of human you can be at Cornell.
News
Computer and Information Science Students Struggle with Course Enrollment, Adding Stress Instead of Classes
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Enrollment struggles left computer science and information science students frustrated as they attempted to obtain seats in their major courses.
News
ChatGPT Generates Buzz Regarding Concerns of Academic Integrity
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Students, researchers and professors reflect on worries about ChatGPT’s effects on academia and ideas for adapting pedagogy.
News
New Data Science Minor Encodes Key Skills in Cornell Undergraduate Students
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Students from across the university can now minor in data science, allowing a greater subset of students to gain important quantitative and analytical skills in an increasingly data-driven world.
Columns
AGGARWAL | Small Fish, Even Bigger Pond
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There are about 15,000 students at Cornell University each academic year. Walking on campus in between class periods, it isn’t too hard to visualize the immensity that is the Cornell student body. As a freshman, the sheer number of people joining the ranks at Cornell University — 3,325 in the Class of 2022 to be exact — at the same time as me felt overwhelming at times. Like many students who now attend Cornell or other similarly prestigious Ivy League colleges, I often felt distinct in high school. I had a specific identity that was shored up over the course of high school (for me, I attended the same school all four years), and starting anew at Cornell threw everything into flux.
Science
Cornell Researchers Train Physical Systems, Revolutionize Machine Learning
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A Cornell research group led by Prof. Peter McMahon, applied and engineering physics,has successfully trained various physical systems to perform machine learning computations in the same way as a computer. The researchers have achieved this by turning physical systems, such as an electrical circuit or a Bluetooth speaker, into a physical neural network — a series of algorithms similar to the human brain, allowing computers to recognize patterns in artificial intelligence. Machine learning is at the forefront of scientific endeavors today. It is used for a host of real-life applications, from Siri to search optimization to Google translate. However, chip energy consumption constitutes a major issue in this field, since the execution of neural networks, forming the basis of machine learning, uses an immense amount of energy.
Science
Cornellians Drive Development of Electric Vehicles in Collaboration with Toyota
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Cornell researchers are collaborating with the Toyota Research Institute to employ materials science and artificial intelligence in search of eco-friendly batteries that can be produced in the lab.
Columns
CHEN | Stop Catfishing Computer Science Majors
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While bugs in my code seemed impossible despite my line-by-line dissection, having a program finally run correctly would mitigate all the head-wracking hours that led up to the triumph. Every problem had its reason — if something wasn’t running correctly, you could pinpoint the exact line where values were being incorrectly set.