A web container (also known as a servlet container; and compare "webcontainer") is the component of a web server that interacts with Jakarta Servlets. A web container is responsible for managing the lifecycle of servlets, mapping a URL to a particular servlet and ensuring that the URL requester has the correct access-rights. A web container handles requests to servlets, Jakarta Server Pages (JSP) files, and other types of files that include server-side code. The Web container creates servlet instances, loads and unloads servlets, creates and manages request and response objects, and performs other servlet-management tasks. A web container implements the web component contract of the Jakarta EE architecture. This architecture specifies a runtime environment for additional web components, including security, concurrency, lifecycle management, transaction, deployment, and other services. == List of Servlet containers == The following is a list of notable applications which implement the Jakarta Servlet specification from Eclipse Foundation, divided depending on whether they are directly sold or not. === Open source Web containers === Apache Tomcat (formerly Jakarta Tomcat) is an open source web container available under the Apache Software License. Apache Tomcat 6 and above are operable as general application container (prior versions were web containers only) Apache Geronimo is a full Java EE 6 implementation by Apache Software Foundation. Enhydra, from Lutris Technologies. GlassFish from Eclipse Foundation (an application server, but includes a web container). Jetty, from the Eclipse Foundation. Also supports SPDY and WebSocket protocols. Open Liberty, from IBM, is a fully compliant Jakarta EE server Virgo from Eclipse Foundation provides modular, OSGi based web containers implemented using embedded Tomcat and Jetty. Virgo is available under the Eclipse Public License. WildFly (formerly JBoss Application Server) is a full Java EE implementation by Red Hat, division JBoss. === Commercial Web containers === iPlanet Web Server, from Oracle. JBoss Enterprise Application Platform from Red Hat, division JBoss is subscription-based/open-source Jakarta EE-based application server. WebLogic Application Server, from Oracle Corporation (formerly developed by BEA Systems). Orion Application Server, from IronFlare. Resin Pro, from Caucho Technology. IBM WebSphere Application Server. SAP NetWeaver.
Spanish Network of Excellence on Cybersecurity Research
The Spanish Network of Excellence on Cybersecurity Research (RENIC), is a research initiative to promote cybersecurity interests in Spain. == Members == === Board of Directors (2018) === President: Universidad de Málaga Vice president: CSIC Treasurer: Universidad Politécnica de Madrid Secretary: Universidad de Granada Vocals: Tecnalia, Universidad de La Laguna and Universidad de Modragón === Board of Directors (2016) === President: Universidad Carlos III de Madrid Vice president: Universidad Politécnica de Madrid Treasurer: Universidad de Granada Secretary: Universidad de León Vocals: Gradiant, Tecnalia, Universidad de Málaga === Founding Members === Centro Andaluz de Innovación y Tecnologías de la Información y las Comunicaciones (CITIC). Consejo Superior de Investigaciones Científicas (CSIC). Centro Tecnolóxico de Telecomunicaciones de Galicia (Gradiant). Instituto Imdea Software. Instituto Nacional de Ciberseguridad (INCIBE). Mondragón Unibertsitatea. Tecnalia. Universidad Carlos III de Madrid. Universidad Castilla la Mancha. Universidad de Granada. Universidad de la Laguna. Universidad de León. Universidad de Málaga. Universidad de Murcia. Universidad de Vigo. Universidad Internacional de la Rioja. Universidad Politécnica de Madrid. Universidad Rey Juan Carlos. === Members === Consejo Superior de Investigaciones Científicas (CSIC). Centro Tecnolóxico de Telecomunicaciones de Galicia (Gradiant). Instituto Imdea Software. Instituto Nacional de Ciberseguridad (INCIBE). Mondragón Unibertsitatea. Tecnalia. Universidad Carlos III de Madrid. Universidad de Castilla-La Mancha. Universidad de Granada. Universidad de la Laguna. Universidad de León. Universidad de Málaga. Universidad de Murcia. Universidad de Vigo. Universidad Politécnica de Madrid. Universidad Rey Juan Carlos. Universitat Oberta de Catalunya. IKERLAN. === Honorary Members === Centre for the Development of Industrial Technology (CDTI). (2017) Instituto Nacional de Ciberseguridad (INCIBE). (2016) == Initiatives and Participations == RENIC is ECSO member, and is also a member of its board of directors. A collaboration agreement between RENIC and the Innovative Business Cluster on Cybersecurity (AEI Cybersecurity) has been signed. RENIC is pleased to sponsor the Cybersecurity Research National Conferences (JNIC) JNIC2017 edition, organized by Universidad Rey Juan Carlos. RENIC is pleased to announce the publication of the online version of the Catalog and knowledge map of cybersecurity research
Best AI Voice Assistants in 2026
Trying to pick the best AI voice assistant? An AI voice assistant is software that uses machine learning to help you get more done — it scales effortlessly from a single task to thousands. The best picks balance beginner-friendly simplicity with the depth power users need, and they ship updates often. Whether you are a beginner or a pro, the right AI voice assistant slots into your workflow and pays for itself fast. This guide breaks down the top picks, their pros and cons, and who each one is best for.
Stefan Schaal
Stefan Schaal (born 1961) is a German-American computer scientist specializing in robotics, machine learning, autonomous systems, and computational neuroscience. == Education and career == Schaal was born in Frankfurt am Main in Germany, Schaal grew up in the North Bavarian town of Nürnberg. After graduating from school, he served in the German army in the Ski Patrol Division of Bad Reichenhall, where he honorably discharged with the rank of a Lieutenant. Schaal studied mechanical engineering at the Technical University of Munich, graduating in 1987 with a Diploma degree (summa cum laude). Subsequently, Schaal did his Ph.D. in computer aided design and artificial intelligence at the Technical University of Munich and the Massachusetts Institute of Technology, receiving his Ph.D. in 1991 (Summa Cum Laude) under Klaus Ehrlenspiel. In 1991, Schaal was a Postdoctoral Fellow at the Department and Brain and Cognitive Science and the Artificial Intelligence Lab at the Massachusetts Institute of Technology, funded by the Alexander von Humboldt Foundation and the German Academic Scholarship Foundation. Starting from 1992, he became an invited researcher at the ATR Computational Neuroscience Labs in Japan, where he created a robotics lab focusing on biological principles of motor control and learning. In 1994, Schaal moved to the Georgia Institute of Technology as an adjunct assistant professor, and also held the same rank at the Pennsylvania State University. In 1996, Schaal assumed a group leader position in the ERATO Kawato Dynamic Brain Project in Japan. Schaal joined the University of Southern California (USC) in 1997, where he advanced from the ranks of assistant professor, to associate professor, to full professor. In 2009, Schaal became a founder in defining and creating the Max Planck Institute for Intelligent Systems in Tübingen and Stuttgart, Germany, an institute focusing on principles of perception-action-learning systems in synthetic intelligence. In 2012, Schaal founded the Autonomous Motion Department (AMD) at this institute, while maintaining a partial appointment at USC. Stefan Schaal joined Google X as lead of a robotics research team in late 2018. == Research == Stefan Schaal's interests focus on autonomous perception-action-learning systems, in particular anthropomorphic robotic systems. He works on topics of machine learning for control, control theory, computational neuroscience for neuromotor control, experimental robotics, reinforcement learning, artificial intelligence, and nonlinear dynamical systems. Stefan has co-authored more than 400 publications in top conferences and journals, and served as organizer on various top conferences in machine learning and robotics. He has received numerous best paper awards and honors in his scientific community. Stefan Schaal has been noted as one of the five leaders in robotics in 2011, and among the top robotics experts in the world. == Controversy == In 2018, the German newsjournal Der Spiegel published an article reporting on his double affiliation with USC and the Max-Planck Society, both with full salaries, which was apparently unknown to either party. Schaal rejected the allegations, but was forced to leave his position at the Max Planck Institute.
The Best Free AI Blog Writer for Beginners
Looking for the best AI blog writer? An AI blog writer is software that uses machine learning to help you get more done — it can save you hours every week by automating repetitive work. Most options offer a generous free tier, with paid plans unlocking higher limits, faster processing, and team features. Whether you are a beginner or a pro, the right AI blog writer slots into your workflow and pays for itself fast. Read on for hands-on impressions, pricing tiers, and the standout features that matter.
Web-based simulation
Web-based simulation (WBS) is the invocation of computer simulation services over the World Wide Web, specifically through a web browser. Increasingly, the web is being looked upon as an environment for providing modeling and simulation applications, and as such, is an emerging area of investigation within the simulation community. == Application == Web-based simulation is used in several contexts: In e-learning, various principles can quickly be illustrated to students by means of interactive computer animations, for example during lecture demonstrations and computer exercises. In distance learning, web-based simulation may provide an alternative to installing expensive simulation software on the student computer, or an alternative to expensive laboratory equipment. In software engineering, web-based emulation allows application development and testing on one platform for other target platforms, for example for various mobile operating systems or mobile web browsers, without the need of target hardware or locally installed emulation software. In online computer games, 3D environments can be simulated, and old home computers and video game consoles can be emulated, allowing the user to play old computer games in the web browser. In medical education, nurse education and allied health education (like sonographer training), web-based simulations can be used for learning and practicing clinical healthcare procedures. Web-based procedural simulations emphasize the cognitive elements such as the steps of the procedure, the decisions, the tools/devices to be used, and the correct anatomical location. == Client-side vs server-side approaches == Web-based simulation can take place either on the server side or on the client side. In server-side simulation, the numerical calculations and visualization (generation of plots and other computer graphics) is carried out on the web server, while the interactive graphical user interface (GUI) often partly is provided by the client-side, for example using server-side scripting such as PHP or CGI scripts, interactive services based on Ajax or a conventional application software remotely accessed through a VNC Java applet. In client-side simulation, the simulation program is downloaded from the server side but completely executed on the client side, for example using Java applets, Flash animations, JavaScript, or some mathematical software viewer plug-in. Server-side simulation is not scalable for many simultaneous users, but places fewer demands on the user computer performance and web-browser plug-ins than client-side simulation. The term on-line simulation sometimes refers to server-side web-based simulation, sometimes to symbiotic simulation, i.e. a simulation that interacts in real-time with a physical system. The upcoming cloud-computing technologies can be used for new server-side simulation approaches. For instance, there are multi-agent-simulation applications which are deployed on cloud-computing instances and act independently. This allows simulations to be highly scalable. == Existing tools == AgentSheets – graphically programmed tool for creating web-based The Sims-like simulation games, and for teaching beginner students programming. AnyLogic – a graphically programmed tool that generates Java code for discrete-event simulation, system dynamics and agent-based models Easy Java Simulations – a tool for modelling and visualization of physical phenomenons, that automatically generates Java code from mathematical expressions. ExploreLearning Gizmos – a large library of interactive online simulations for math and science education in grades 3–12. FreeFem++ Javascript Version – FreeFem++ is a free and open source PDE solver using the finite element method. GNU Octave web interfaces – MATLAB compatible open-source software Lanner Group Ltd L-SIM Server – Java-based discrete-event simulation engine which supports model standards such as BPMN 2.0 Nanohub – web 2.0 in-browser interactive simulation of nanotechnology NetLogo – a multi-agent programming language and integrated modeling environment that runs on the Java Virtual Machine OpenPlaG – PHP-based function graph plotter for the use on websites OpenEpi – web-based packet of tools for biostatistics Recursive Porous Agent Simulation Toolkit (Repast) – agent-based modeling and simulation toolkit implemented in Java and many other languages SageMath – open-source numerical-analysis software with web interface, based on the Python programming language SimScale – web-based simulation platform supporting computational fluid dynamics, solid mechanics, and thermodynamics StarLogo – agent-based simulation language written in Java. VisSim viewer – graphically programmed data-flow diagrams for simulation of dynamical systems webMathematica and Mathematica Player – a computer algebra system and programming language. VisualSim Architect – VisualSim Explorer enables system-level models to be embedded in documents for viewing, simulation and analysis from within a web browser without any local software installation.
Pushmeet Kohli
Pushmeet Kohli is an Indian British computer scientist and Vice President of research at Google DeepMind. At Deepmind, he heads the "Science and Strategic Initiatives Unit". He was noted by Time magazine as being one of the 100 most influential people in AI according to the Time 100 AI list. Kohli has led and supervised a number of projects including AlphaFold, a system for predicting the 3D structures of proteins; AlphaEvolve, a general-purpose evolutionary coding agent; SynthID, a system for watermarking and detecting AI-generated content; and Co-Scientist, an agent for generating and testing new scientific hypotheses. == Education == Kohli received a Bachelor of Technology (BTech) degree in Computer Science and Engineering at the National Institute of Technology, Warangal. He went on to study at Oxford Brookes University, where he earned a PhD in computer vision for research supervised by Philip Torr in 2007. == Career and research == After his PhD, Kohli was a postdoctoral associate at the Psychometric Centre, University of Cambridge. Before joining Google DeepMind, Kohli was partner scientist and director of research at Microsoft Research. His research investigates applications of machine learning and artificial intelligence. Kohli has made research contributions in the fields of computational biology, program synthesis, superoptimization, discrete optimization, and psychometrics. Notable research projects he has contributed to include: AlphaFold - breakthrough AI system for protein structure prediction AlphaEvolve - agent for code super optimization. AlphaTensor - Reinforcement learning agent for discovering new algorithms for matrix multiplication SynthID - system for watermarking AI generated images. AlphaGenome and AlphaMissense - AI models for predicting the effect of mutations in the genome AlphaCode - Competition-level code generation with AI FunSearch - Discovering algorithms using LLMs to search over program space. Neural Program Synthesis Probabilistic Programming Community based Crowdsourcing of Data for Training AI Models Behavioral analysis and personality prediction using online networks Human Pose Estimation using the Kinect Learnt Magnetic confinement control for Fusion Learnt Density Functional for solving the fractional electron problem === Awards and honours === Kohli's research in computer vision and machine learning has been recognized by a number of scientific awards and prizes. Some notable ones include: Koenderink Prize (Test of Time award) by the European Conference of Computer Vision British Machine Vision Association and Society for Pattern Recognition (BMVA) Sullivan Prize for the best PhD thesis. IEEE Mixed Augmented Reality (ISMAR) Impact Paper award Lasting Impact Award by the ACM Symposium on User Interface Software and Technology Best paper award at the International World Wide Web Conference 2014 Best paper award in the European Conference on Computer Vision (ECCV) 2010 Best paper award in the Conference on Uncertainty in Artificial Intelligence (UAI)