Computer science research
Of 2015's hottest topics in computer science ns expressed by forbes contributors are their question originally appeared on quora: what are currently the hot topics in computer science research? By igor markov, michigan eecs prof - currently at google, on are several major closed-form challenges in computer science, such p versus np problem,Finding better algorithms for matrix multiplication and fourier transform,Building quantum computers that can quickly factorize numbers into primes (shor's algorithm), or at least explaining why we are still so far from this r, the hottest topics are broad and intentionally defined with some vagueness, to encourage out-of-the-box thinking.
For such topics, zooming in on the right questions often marks significant progress in 's my list for nt-data applications, algorithms, and architectures are a meta-topic that includes research avenues such as data mining (quickly finding relatively simple patterns in massive amounts of loosely structured data, evaluating and labeling data, etc), machine learning (building mathematical models that represent structure and statistical trends in data, with good predictive properties), hardware architectures to process more data than is possible cial intelligence and robotics - broadly, figuring out how to formalize human capabilities, which currently appear beyond the reach of computers and robots, then make computers and robots more efficient at it. In the past, once good model were found for something (such as computer-aided design of electronic circuits), this research moves into a different field - the design of efficient algorithms, statistical models, computing hardware, -informatics and other uses of cs in biology, biomedical engineering, and medicine, including systems biology (modeling interactions of multiple systems in a living organism, including immune systems and cancer development), computational biophysics (modeling and understanding mechanical, electrical, and molecular-level interactions inside an organism), computational neurobiology (understanding how organisms process incoming information and react to it, control their bodies, store information, and think).
There is a very large gap between what is known about brain structure and the functional capabilities of a living brain - closing this gap is one of the grand challenged in modern science and engineering. Cornell computer science is a leader in this transformation, producing cutting-edge research in many important areas.
The excellence of cornell faculty and students, and their drive to discover and collaborate, ensure our leadership will continue to contributions of cornell computer science to research and education are widely recognized, as shown by the two turing awards and the macarthur "genius" award our faculty have received, among numerous other explore current computer science research at cornell, follow links at the left or cial dge representation, machine learning, nlp and ir, reasoning, robotics, search, ational ce analysis, structure analysis, protein classification, gene networks, molecular er architecture & sor architecture, networking, asynchronous vlsi, distributed se systems, data-driven games, data privacy and security, digital libraries, data ctive rendering, global illumination, measurement, simulation, sound, , interface design, computational social science, education, computing and mming mming language design and implementation, optimizing compilers, type theory, formal tion, control, learning, aerial robots, bio-inspired robots, household cal analysis, computational geometry, physically based network services, language-based security, mobile code, privacy, policies, verifiable s and ing systems, distributed computing, networking, wireless systems, security and theory of computing is the study of efficient computation, models of computational processes, and their rd artificial intelligence d in 1962, the stanford artificial intelligence laboratory (sail) has been a center of excellence for artificial intelligence research, teaching, theory, and practice for over fifty : computational biology | computer vision | machine learning | natural language processing | se research, general purpose network analysis and graph rd theory development and analysis of algorithms for a variety of settings and applications. Major directions include complexity theory, cryptography, algorithmic game theory, geometric algorithms, algorithmic techniques for internet applications, various aspects of network and computer security, databases, design and analysis of programs and programming languages, and supporting studies in combinatorial, logical, and algebraic rd computer graphics / human-computer interaction (hci) ch in geometric computation, light fields and computational photography, human-computer interaction and design thinking as well as computational algorithms for a variety of ational techniques are now a major innovation catalyst for all aspects of human endeavour.
Our research aims to develop tomorrow’s information technology that supports innovative applications, from big data analytics to the internet of things. It covers all aspects of information technology, including energy efficient and robust hardware systems, software defined networks, secure distributed systems, data science, and integrated circuits and power : architecture | computer security | networking | operating/distributed systems | programming systems and by research focus.
Any -artificial intelligencecomputational biologycomputer visionmachine learningnatural language processingroboticseducationcomputer graphicshuman-computer interaction (hci)computer systemsarchitecturecomputer securitynetworkingoperating/distributed systemsprogramming systems and verificationdata ed by faculty status. Systemsprogramming systems and er systemsoperating/distributed systemsdata er systemsarchitectureprogramming systems and cial intelligencecomputational cial intelligencecomputational -computer interaction (hci).
Stanford university, stanford, california cse department is currently comprised of 50 distinguished faculty members and supports excellent research facilities. Classes are taught by a large, diverse faculty who are leading researchers in the course areas they teach.
A large faculty enables the department to offer a wide range of classes in both traditional and cutting-edge topics in computer science. In addition to classes, students also have the opportunity to interact with faculty as course teaching assistants, tutors and readers, as graduate and undergraduate research assistants and through faculty cse department has significant strengths in most major fields of computer science and engineering, including:Algorithms complexity and cial er architecture and ses and information ed systems & -performance -computer interaction / the design ty and s and tous computing and social /cad (computer-aided design).
Research following is a listing of some of the major research projects currently underway by cse faculty and researchers:Bioinformatics consulting additional resources, see:Faculty research y awards & ated centers, institutes & research of computer science and sity of california, san jolla, ca 92093-0404 u. Science research -leading -leading research in intelligent systems, assistive technologies, next generation networks, and semantic analytics, within our four highly active research groups and computer science research institute (csri) comprises research active academic staff from three schools in the faculty of computing, engineering and the built environment together with approximately 30 research associates and research fellows, and around 70 doctoral research students.