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The use of sophisticated digital systems to control complex physical components in real-time has grown at a rapid pace. These applications range from traditional stand-alone systems to highly-networked cyber-physical systems (CPS's), spanning a diverse array of software architectures and control models. Examples include automobile adaptive braking, industrial robotic assembly, medical pacemakers, autonomous (ground, air, and sea) vehicular travel, remote surgery, physical manipulation of nano-structures, search-and-rescue, and space exploration. Since all these applications interact directly with the physical world and often have humans in the loop, we must ensure their physical safety with formal verification and accurate response time analysis. Employing the functional (reactive) programming (FRP) over the imperative programming style found in languages such as C/C++ and Java for implementing embedded and real-time software have several benefits. The functional programming paradigm allows the programmer to intuitively describe safety-critical behaviors of the system, thus lowering the chance of introducing bugs in the design phase. Its stateless nature of execution does not require the use of synchronization primitives like mutexes and semaphores, thus reducing the complexity in programming. However, accurate response time analysis of FRP-based controllers remains a largely unexplored problem. This talk will introduce a framework for accurate response time analysis, scheduling, and verification of embedded controllers implemented as functional reactive programs.
His research interests center on the design, specification, modeling, scheduling, and formal verification of real-time, embedded, and cyber-physical systems, green/power/thermal-aware computing, software engineering, knowledge-based systems, and networking.
Intel is beginning to square in on AI with the announcement of a single cross-Intel organization: The Artificial Intelligence Products Group (AIPG). According to the company, AIPG strengthens its focus on AI, and will include engineering, labs, software and resources as it continues to work on its AI portfolio: The Intel Nervana platform.
Avast: Majority of PC users are at risk due to outdated softwareAvast released its Avast PC Trends Report Q1 2017 and revealed that 52% of the most popular PC applications running on PCs, like Flash and Java, are out of date. This puts PC users at risk since their laptops and desktops are exposed to vulnerabilities and malware.
AI, AIPG, Apache License, artificial intelligence, Avast, C, containers, CoreOS, developers, Flash, Intel, Intel Nervana, Java, Kubernetes, malware, Microsoft Azure, open source, OpenSSL, OpenStack, PC, programming languages, security, SEI, software, Software Engineering Institute, Tectonic 2b1af7f3a8