Jarvis Mark 2 Database Download

So, the first thing I did was install and configure Jarvis with TONS of questions and answers and tasks to do on voice command. THEN, I installed my own Teamspeak 3 server and client, and (as I demonstrate in this video: =8otzlMDW5DY) connected Jarvis to it and installed the Teamspeak client on my phone so that I can communicate and get responses from jarvis anywhere, anytime.

Another idea is to have a fitbit scale in the bathroom where Jarvis can keep record of my weight in order to query a database on my current workout routine with fitbit to determine what food I should eat and when, make a grocery list, and order for delivery my groceries online automatically (with confirmation of course).

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So my goal is to have it so that someone can set privacy in their room, so that they can have a phone call or watch a video without interfering with anyone else in other rooms of the house. This is going to be difficult because Jarvis only has one session and anyone talking to jarvis will get the same response. The only way, right now, to fix this would be to setup a physical (or virtual) box that has an individual jarvis and teamspeak client on it, so that they can either join one room or the other or be in one setting together. All music and files will be shared among those systems so that everyone can play their own music if they choose.

With these accounts terminated, things are changing; the database spreadsheet is becoming inactive, as Jesse apparently doesn't want to continue with the project, and Mark is going to let it die, as repopulating the database is a really tall order given the circumstances.

There's also a possibility for something else to pop up and fill the hole the database spreadsheet leaves. Back in the day, before Mark's spreadsheets, most film was hosted on a site called Draft Breakdown, which basically just embedded public YouTube videos and gave an easier way to search for film of a certain prospect. Eventually, DBD went down for a variety of reasons, and things like this spreadsheet rose to take its place. Who knows what will happen next? When we have more information about this, we'll be sure to announce it and the sidebar will be updated appropriately.

Jarvis, a 12-year Oracle veteran who got his start at lightbulb maker Philips, now heads up all of Oracle's marketing, where he courts software developers to use Oracle's business software through advertising and a slew of Web site offerings that give customers access to software, news and tutorials.

He also runs the company's events, including this week's Oracle OpenWorld conference in San Francisco, where the company is announcing new updates to its three main products: the 9i database; its application-server software, technology that runs e-business and Web site transactions; and its 11i eBusiness suite, Web-based software for managing a company's marketing efforts, sales force, manufacturing, financials and Internet business activities.

Q: What's the overall message you want to give your customers at the Oracle OpenWorld conference?

A: We are coming up with a whole bunch of new products, from development tools to the application server. They are all rapidly becoming the de facto parts of the platform. So product-wise we feel very good. Obviously, the challenges are the economy and post-Sept. 11. We need to reassure our customers that we are still innovating. The adoption of 9i is greater than any other database (we've had) in terms of upgrades.

How important is the application-server software market to Oracle's future? Your company is far behind BEA Systems and IBM in market share.

The application server is absolutely vital. We virtually let BEA become a billion-dollar company. It's our goal to take customers back. Most of BEA's (application server) customers are really actually Oracle database customers.

Microsoft and Sun Microsystems are in the midst of a marketing battle over Web services. What's your take on the vision of having software available as a service over the Web across multiple devices, from PCs to cell phones? What are Oracle's plans?

We have to admit we've been sitting here and listening to what everyone says. We're looking for real-world examples. There aren't many out there. We think we've come up with strong Web services that link our eBusiness Suite. We have a lot of applications and a far better grasp of what Web services truly are. There's some interesting models.

It certainly looks like Oracle.com and the business software hosted there is a good first step toward Web services. Do you plan to dive further and offer Web services to customers?

Oracle.com evolves every day. What you see at Oracle.com is going to be completely different in a year's time. The end game that Oracle.com is hasn't been discussed or marketed. I don't want to give it away, but put it this way: A lot of people have seen Oracle.com as Oracle moving toward software as a service. They are completely wrong. The Oracle.com strategy is actually to have a new way of servicing your software. It's not software as a service. It's servicing your software.

What do I mean by that? How about the next version of our database, for example. Hypothetically, how about whenever a database administrator gets a certain error, they have to call up Oracle, but we already know they have the error. We have it analyzed on their system. We call the database administrator rather than them calling us.

Any new markets Oracle plans to tackle?

You are starting to see Oracle "verticalized," like the database is getting into the life sciences. We've never marketed to biotech before, and features (for that market) are going in now.

The joint automated repository for various integrated simulations (JARVIS)1 is an integrated infrastructure to accelerate materials discovery and design. The JARVIS infrastructure can be separated into electronic structure methods [density functional theory (DFT),2 tight binding,3 dynamical mean field theory (DMFT),4 many-body perturbation theory (PT) (GW),5 and quantum Monte Carlo (QMC)]6,7 classical force-fields (FF),8 machine learning (ML) techniques,9 quantum computation algorithms,10 and experiments.11 JARVIS is motivated by the materials genome initiative (MGI)12 principles of developing open-access databases and tools to reduce the cost and development time of materials discovery, optimization, and deployment. A depiction of the major areas of ongoing research as part of the JARVIS infrastructure is depicted in Fig. 1, and the publicly available JARVIS tools are listed in Table I.

There are two types of tight-binding projects available in JARVIS: (1) Wannier tight-binding Hamiltonians (WTBH)20 and (2) a parametrized universal tight-binding model fit to first principles calculations (ThreeBodyTB.jl).21 The WTBH database provides a computationally efficient way to interpolate and understand the electronic properties of a set of 1771 preselected materials, based on a DFT calculation for each of those materials. The quality of the WTBH is evaluated by comparing the Wannier band structures to directly calculated DFT band structures, including SOC. The WTBH database is used for predicting the AHC, surface band structures, and various topological indexes.

Our fitting procedure is summarized in Fig. 7. For a given elemental or binary system, we first generate a set of standard crystal structures, perform DFT calculations, and fit an initial parameter set to reproduce the band structures and total energies. Then, we employ an active learning strategy to test and improve the model by using the current model to relax randomly generated crystal structures71 and test our tight-binding results vs new DFT calculations. If the results are poor, we add these new structures to our fitting database and repeat the process until the results improve.

Our current parameter set can predict total energies, volumes, and band gaps with comparable accuracy to machine learning approaches, as well as produce band structures. Importantly, the results generalize to surfaces and vacancy calculations that are completely outside the fitting dataset, as shown in Fig. 8. For testing results and details, see Ref. 21. The julia code with a python interface is available, and an underlying DFT database with over 1 106 materials is available in JARVIS-QETB.

Although majority of the data in JARVIS originates from computation, we use data validation and benchmarking with experiments whenever applicable. In some cases, we obtain experimental data from the literature or from the in-house standard reference material (SRM) data at NIST. In other cases, we perform our own experiments along with our computational efforts. This experimental data include XRD and neutron diffraction patterns, CO2 adsorption isotherms,120 magnetic susceptibility measurements,33 spectroscopic ellipsometry dielectric functions, Raman spectra, STM/STEM images, and transport measurements.

These experimental datasets are now being integrated in the JARVIS-Leaderboard for benchmarking and validation purpose (see Sec. VIII). Some simulated experimental data, such as XRD patterns, can be computed with JARVIS-Tools. As the experimental datasets in JARVIS are not exceedingly large at the moment, we can currently apply machine learning algorithms on computational data, and in the future, apply the same pipeline to experimental data.

The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal application programming interface (API) to make materials databases accessible and interoperable. The OPTIMADE API has a set of well-defined key-value pairs such as chemical formula name, number of elements, etc., for each atomic structure that allows sending a universal API search for multiple data-efforts. The implementation required a Django-rest-framework integration with specific data-models, pagination, and other specification as detailed in OPTIMADE to be compatible with other infrastructures. 006ab0faaa