Illinois Computer Science Speaker Series - Public
Illinois Computer Science Speaker Series - Public
-
From cs-speakerseries
4 plays 0Abstract: Machine learning is revolutionizing technology and society. However, like any technology, it can be misused by adversaries and our understanding of the… -
From cs-speakerseries
8 plays 0Abstract: Using data compression methods in the memory hierarchy can improve the efficiency of memory systems by enabling higher effective cache capacity, more effective… -
From cs-speakerseries
4 plays 0Abstract: In recent years, artificial intelligence (AI) has achieved great success in many fields. Although impressive advances have been made, AI algorithms still… -
From cs-speakerseries
9 plays 0Abstract: Recent hardware advances have brought multicore parallel machines to the mainstream. Although the progress in hardware advance seems promising, it does not… -
From cs-speakerseries
29 plays 0Abstract: Artificial intelligence (AI) has emerged as a powerful tool for solving complex health problems. AI for health is fueled by both the advancement in AI methods… -
From cs-speakerseries
24 plays 0Abstract: Data plays an increasingly crucial role in both the performance and the safety of AI models. In this talk, I will advocate for data attribution--a family of… -
From cs-speakerseries
22 plays 0Abstract: Hardly a day passes without a new technology ethics scandal in the news — from privacy violations on social media to biased algorithms to controversial… -
From cs-speakerseries
6 plays 0Abstract: This talk will focus on two main categories of our recent advancements in parallel algorithms. In the first part, I will introduce our new graph algorithms… -
From cs-speakerseries
43 plays 0Abstract: Verified artificial intelligence (AI) is the goal of designing AI systems that have strong, ideally provable, assurances of correctness with respect to… -
From cs-speakerseries
569 plays 0Abstract: As ubiquitous AI becomes increasingly integrated into the smart devices that users use daily, the rise of extensive datafication, data surveillance, and… -
From cs-speakerseries
43 plays 0Abstract: The emergence of generative LLM processing is revolutionizing NLP. Many researchers have had to completely redefine their goals and work: there is little or no… -
From cs-speakerseries
24 plays 0Abstract: The advent of large language models promises a new level of performance in generation of text of all kinds, enabling generation of text that is far more… -
From cs-speakerseries
36 plays 0Abstract: Graphs have been widely applied to model intricate relationships among entities. The application of Graph Machine Learning (GML) to enhance prediction… -
From cs-speakerseries
37 plays 0Abstract: Deep learning has largely improved the performance of natural language understanding (NLU) systems. However, most deep learning models are black-box… -
From cs-speakerseries
39 plays 0Abstract: Human-centered AI advocates the shift from emulating human to empowering people so that AI can benefit humanity. A useful metaphor is to consider human as a… -
From cs-speakerseries
26 plays 0Abstract: Constant emergence of new computer systems, architectures, and hardware require us to study their security and design protections before adversaries… -
From cs-speakerseries
41 plays 0Abstract: Understanding the genetic basis of complex human disorders is crucial in the realm of medical research, particularly in the context of precision medicine.… -
From cs-speakerseries
44 plays 0Abstract: Quantum position verification (QPV) is a cryptographic task in which the spatial location of an untrusted agent is certified using the principles of quantum… -
From cs-speakerseries
47 plays 0Abstract: Pre-training datasets are a critical component in recent breakthroughs in artificial intelligence. However, their design has not received the same level of… -
From cs-speakerseries
63 plays 0Abstract: Large AI Models demonstrate promising capabilities and open numerous possibilities for innovative applications. What are future AI applications like and how… -
From cs-speakerseries
46 plays 0Abstract: At least since the initial public proposal of public-key cryptography based on computational hardness conjectures (Diffie and Hellman, 1976), cryptographers… -
From cs-speakerseries
52 plays 0Abstract: The evergreen popularity of computer science as a degree, and accompanying student enrollments, necessitate effective instruction at scale that meets the dual… -
From cs-speakerseries
52 plays 0Abstract: Content creators compete for exposure on recommendation platforms, and such strategic behavior leads to a dynamic shift over the content distribution.… -
From cs-speakerseries
48 plays 0Abstract: "Do we have to learn proofs?" – a question that Discrete Math instructors receive time and time again from students. In this talk, I will… -
From cs-speakerseries
84 plays 0Abstract: Recent advancements in large language models (LLMs) have marked a significant milestone in the field of natural language processing. Yet, as we venture into… -
From cs-speakerseries
28 plays 0Abstract: For the past three years, instructors have been challenged to find creative and efficient alternatives for teaching in remote and hybrid formats, creating an… -
From cs-speakerseries
34 plays 0Abstract: Distribution matching (DM) has emerged as a cornerstone of trustworthy machine learning, finding application in fairness, robustness, causality, and… -
From cs-speakerseries
26 plays 0Abstract: As the field of computer science (CS) is gaining increased attention in K-8 schools, the need for qualified teachers is rapidly growing. Yet little is still… -
From cs-speakerseries
39 plays 0Abstract: Developing a theoretical model (architecture) for the way the brain “computes” is a decades long research effort that still has a very long way to… -
From cs-speakerseries
27 plays 0Abstract: In this talk we examine how high performance computing has changed over the last ten years and look toward the future in terms of trends. These changes have…
Search for ""
Public, Restricted