LIRC@SFIT

GOOD READS – AN INITIATIVE OF SFIT LIRC (CURRENT AWARENESS SERVICE) “Good Reads” is a monthly alert service, initiated by SFIT LIRC for all the students and staff. This service provides a list of most recent articles which would be of interest to all. The objective of this Current Awareness Service is to keep abreast of the recent happenings in the fields of science and technology. 1st to 31 st January 2020 Article / Infographic Gist URL / Source Electric field sensor for Electromagnetic Pulse Measurement A high power electromagnetic pulse blast of few kv/m with a sharp rise-time in the order of nanoseconds and even picoseconds levels may be generated in many ways using…. IETE Technical Review, Vol.36,No.6,2019 Pages 614-622 Image Encryption Based on Block-wise Fractional Fourier Transform with Wavelet Transform In the era of multimedia, image excessively present a backbone of communication...

To cater to the upskilling needs of IT professionals, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), collaborated with IBM to launch a Nine-month PG Diploma Program in Data Science and Artificial Intelligence. An MOU was signed between IIIT-Delhi and IBM for the same on 27th Dec 2019. The program will allow students as well as professionals to gain an edge in the field of Data science and Artificial Intelligence and help in developing skills that are hard to find in the desired industry. To read the full story, please visit  https://indiaeducationdiary.in/iiit-delhi-collaborates-with-ibm-to-launch-a-pg-diploma-course-in-data-science-and-ai/

IITH team at SVCOMP 2020 SVCOMP is a Software Verification Competition which is the ultimate battleground for researchers around the world to prove the mettle of their verifiers on more than 10000 benchmark programs. Pinaka, a symbolic execution engine designed and developed at IITH by Akash Banerjee, Eti Chaudhary and Dr. Saurabh Joshi participated in SVCOMP and placed 3rd in ReachSafety-Floats subcategory, 8th in ReachSafety category and 6th in Termination category. Pinaka was also one of the most accurate verifiers with only 3 errors in more than 6500 benchmarks it was run on. More Details:  https://sv-comp.sosy-lab.org/2020/