... includes all of the major AI methods for (a) representing knowledge about a task or a problem area, and (b) reasoning about a problem.
MANHATTAN, Kan. (WIBW) - The National Science Foundation is funding a K-State professor's research on artificial intelligence-based cyber-physical systems. Kansas State University says Pavithra Prabhakar, an associate professor and Peggy and Gary Edwards chair in engineering in its computer science department, has been awarded $450,000 from the National Science Foundation to work on artificial intelligence-based controllers in the 3-year long project titled, "Scalable Formal Verification of ANN Controlled Cyber-Physical Systems." According to K-State, artificial intelligence-based controllers are increasingly used for modern-day cyber-physical and autonomous systems like driverless cars. It said these systems have been called on to perform sophisticated functions and operate in dynamic environments. It said the use of such controllers in driverless cars is highly safety-critical, where the vehicle is expected to not only stay in the right lane but avoid accidents with other cars and pedestrians crossing roadways under different lighting conditions.
Artificial Intelligence (AI) is a concept which has pervaded every area of business, offering new opportunities which were hitherto impossible. This is especially the case within financial trading in areas such as CFDs where speed and reduction of errors are absolutely vital. Of course, you can't merely slot AI in and expect it to do all the work. You'll still need to have a fundamental working knowledge of CFDs yourself. You can find detailed guides on CFD trading which will provide an excellent foundation for learning.
We are looking for a Technical Data Analyst and Program Manager to build out our extended data collection and performance analysis activities. Your job will be to gather and analyze large amounts of raw information from both internal and external sources such as Salesforce, AWS, StackOverflow, Couchbase, GitHub, Google Analytics or custom APIs. You will establish routine reporting and analysis derived from that data, evaluating the trends of our KPI's such that we remain informed as we evolve our objectives. We will rely on you to extract valuable business insights from this work as well as lead cross-functional projects and discussions as program manager for teams that are influenced by this information. In this role, you should be highly analytical with a background in analysis, math and statistics.
Note: This blog should have been named bitwise operator, but yes will correct it after some time. Renaming it now will break the link and will leave many with a a 404 page. Okay, today let's look at Boolean algebra with Julia. In Julia, something true is represented by a constant true and something false is represented by a constant false. These two things are inbuilt in Julia and you can't keep a variable like true 1, Julia will throw an error.
The future of planning is connected, intelligent, and continuous. Yet many companies remain so far away from this vision; it often seems unachievable. With many planning processes being so siloed and disconnected from execution, they can feel ineffective. Fortunately, evaluations of the planning landscape reveal many organizations are adopting technologies that move towards a de-siloed, network-based approach to planning. To optimize planning capabilities, it crucial to achieve this connection at the enterprise level as well as into the broader supply network.
In an effort to be the first organization to bring true artificial intelligence (AI) to the 401k market, The 401(k) Plan Company recently announced a minority investment in Unanimous AI to help elevate human decision-making in the workplace for HR partners, CFOs and plan participants. San Francisco-based Unanimous AI builds technologies that amplify human intelligence using technologies modeled on the biological principle of Swarm Intelligence. Unanimous AI in late October announced it has been awarded three new U.S. Patents covering its unique AI technology aimed at amplifying the intelligence of human groups. Swarm AI technology from Unanimous is a combination of real-time human input and AI algorithms, which the company says enables networked groups of people to think together as super-intelligent systems. Under terms of the deal, The 401(k) Plan Company will make Unanimous AI's capabilities available to employers seeking to evolve through the remote workforce considerations, empowering teams to make significantly better decisions. "AI has the power to replace humans, or to amplify their best work.
This course covers C from very basic to more advanced features.Maybe you have some experience with other programming languages, but want to learn C. It's a great language to add to your resume!.The object oriented programming concepts are clearly explained, you will learn classes, objects, inheritance, polymorphism, Operator overloading, Data Structure,Pointer, file handling,Dynamic Memory allocation,Recursion, apart from basic programming concepts like variables, branching and looping, functions, reference parameters, arrays, string,vectors hands on the real life project in C . The course will be constantly refined in the future based on student feedback! By the end of this course, you will understand the fundamentals of the C Programming Language,OOP Data Structures, and make yourself more marketable for entry level programming positions. You will understand variables and the different data types, be able to utilize functions and arrays, understand the concept of pointers, learn about control flow (decision statements and iteration).You will be in a position to apply for real-time programming positions, and truly understand the core language that most modern languages are based on! C allows you to have a lot of control as to how you use computer resources, so in the right hands its speed and ability to cheaply use resources should be able to surpass other languages.
Nowadays, people prefer using smart and interactive apps instead of basic ones. With continually evolving technologies, it is essential always to stay up-to-date. This means that the apps, games, and gadgets must change and become more dynamic. Are you wondering how all these interactive apps of the future are created? Would you like to know how come the Google Assistant understands what you're saying and can even help you with using your phone more proficiently?
Creating a decision tree in Python is a topic that raises a lot of questions for a beginner. What exactly is it, and what do we use it for? Where do we start building one, and what first steps do we take? Why do we use Python? Let's begin at the top. Simply put, a Python decision tree is a machine-learning method that we use for classification.
The benefits of open source software are immense, and it's great to see so many home automation platforms offering 100% free and functional software to Internet of Things enthusiasts all across the globe. The people behind these home automation platforms have worked hard to achieve a strong codebase that you can use to build your own solution, but is open source good enough for the purpose? Or does it fall short of its "open" goal? Just like most other software platforms, a good solution needs an equally strong community that is willing to back it up and improve upon its initial state. That's why we've compiled a whopping 16 open source home automation platforms that we think are most interesting in the landscape of IoT.