This document provides information about numbers and data types in Firebird databases. It discusses integer, floating point, numeric, and decimal data types, including their storage sizes and value ranges. It also covers data type considerations when migrating between Firebird dialects and potential issues with calculations and changing numeric scales. The document is intended to help understand internal numeric storage and proper data type usage in Firebird.
Building Java and Android apps on the blockchain Conor Svensson
In this talk, I demonstrate how you can integrate JVM applications with the Ethereum blockchain.
I provide an overview of what a blockchain is, how the Ethereum blockchain works, and how you can deploy and interact with smart contracts on Ethereum, all from within the JVM, thanks to web3j.
You’ll also learn about web3j’s usage of ReactiveX’s Observable, and the great enhancements it was able to bring to the library, both internally and externally for its users working with the blockchain.
Building Java and Android apps on the blockchain Conor Svensson
In this talk, I demonstrate how you can integrate JVM applications with the Ethereum blockchain.
I provide an overview of what a blockchain is, how the Ethereum blockchain works, and how you can deploy and interact with smart contracts on Ethereum, all from within the JVM, thanks to web3j.
You’ll also learn about web3j’s usage of ReactiveX’s Observable, and the great enhancements it was able to bring to the library, both internally and externally for its users working with the blockchain.
Steganography and Its Applications in SecurityIJMER
ABSTRACT: Steganography is the dark cousin of cryptography, the use of codes. While cryptography provides privacy,
steganography is intended to provide secrecy. Steganography is a method of covertly communicating. Steganography is a
process that involves hiding a message in an appropriate carrier for example an image or an audio file. The carrier can then
be sent to a receiver without anyone else knowing that it contains a hidden message. This is a process, which can be used for
example by civil rights organizations in repressive states to communicate their message to the outside world without their
own government being aware of it. In this article we have tried to elucidate the different approaches towards implementation
of Steganography using ‘multimedia’ file (text, static image, audio and video). Steganalysis is a newly emerging branch of
data processing that seeks the identification of steganographic covers, and if possible message extraction. It is similar to
cryptanalysis in cryptography. The technique is ancient emerging monster that have gained immutable notice as it have
newly penetrated the world of digital communication security. Objective is not only to prevent the message being read but
also to hide its existence.
Keywords: Carrier, Privacy, Secrecy, Steganalysis, Steganography
A Presentation on Registry forensics from one of my lectures. Thanks to Harlan Carvy and Jolanta Thomassen for wonderful researches in the field. The work is based on their researches
E-MAIL, IP & WEB SECURITY
E-mail Security: Security Services for E-mail-attacks possible through E-mail – establishing keys privacy-authentication of the source-Message Integrity-Non-repudiation-Pretty Good Privacy-S/MIME. IPSecurity: Overview of IPSec – IP and IPv6-Authentication Header-Encapsulation Security Payload (ESP)-Internet Key Exchange (Phases of IKE, ISAKMP/IKE Encoding). Web Security:
Cybercrime is a type of crime done by the help of computer and internet. Brief about types of cyber crimes, Case studies and Cyber hygiene from cyber threats.
Be smart & creative in cyber world. #D3
In cryptography, a block cipher is a deterministic algorithm operating on ... Systems as a means to effectively improve security by combining simple operations such as .... Finally, the cipher should be easily cryptanalyzable, such that it can be ...
Information and network security 13 playfair cipherVaibhav Khanna
The Playfair cipher was the first practical digraph substitution cipher. The scheme was invented in 1854 by Charles Wheatstone but was named after Lord Playfair who promoted the use of the cipher. In playfair cipher unlike traditional cipher we encrypt a pair of alphabets(digraphs) instead of a single alphabet
A hash function usually means a function that compresses, meaning the output is shorter than the input
A hash function takes a group of characters (called a key) and maps it to a value of a certain length (called a hash value or hash).
The hash value is representative of the original string of characters, but is normally smaller than the original.
This term is also known as a hashing algorithm or message digest function.
Hash functions also called message digests or one-way encryption or hashing algorithm.
http://phpexecutor.com
Data Analytics and Simulation in Parallel with MATLAB*Intel® Software
This talk covers the current parallel capabilities in MATLAB*. Learn about its parallel language and distributed and tall arrays. Interact with GPUs both on the desktop and in the cluster. Combine this information into an interesting algorithmic framework for data analysis and simulation.
The document explains the problem, cause and effect of Data skew. It also explains different techniques to minimize data skew across various big data technologies like mapreduce, hive and pig.
Steganography and Its Applications in SecurityIJMER
ABSTRACT: Steganography is the dark cousin of cryptography, the use of codes. While cryptography provides privacy,
steganography is intended to provide secrecy. Steganography is a method of covertly communicating. Steganography is a
process that involves hiding a message in an appropriate carrier for example an image or an audio file. The carrier can then
be sent to a receiver without anyone else knowing that it contains a hidden message. This is a process, which can be used for
example by civil rights organizations in repressive states to communicate their message to the outside world without their
own government being aware of it. In this article we have tried to elucidate the different approaches towards implementation
of Steganography using ‘multimedia’ file (text, static image, audio and video). Steganalysis is a newly emerging branch of
data processing that seeks the identification of steganographic covers, and if possible message extraction. It is similar to
cryptanalysis in cryptography. The technique is ancient emerging monster that have gained immutable notice as it have
newly penetrated the world of digital communication security. Objective is not only to prevent the message being read but
also to hide its existence.
Keywords: Carrier, Privacy, Secrecy, Steganalysis, Steganography
A Presentation on Registry forensics from one of my lectures. Thanks to Harlan Carvy and Jolanta Thomassen for wonderful researches in the field. The work is based on their researches
E-MAIL, IP & WEB SECURITY
E-mail Security: Security Services for E-mail-attacks possible through E-mail – establishing keys privacy-authentication of the source-Message Integrity-Non-repudiation-Pretty Good Privacy-S/MIME. IPSecurity: Overview of IPSec – IP and IPv6-Authentication Header-Encapsulation Security Payload (ESP)-Internet Key Exchange (Phases of IKE, ISAKMP/IKE Encoding). Web Security:
Cybercrime is a type of crime done by the help of computer and internet. Brief about types of cyber crimes, Case studies and Cyber hygiene from cyber threats.
Be smart & creative in cyber world. #D3
In cryptography, a block cipher is a deterministic algorithm operating on ... Systems as a means to effectively improve security by combining simple operations such as .... Finally, the cipher should be easily cryptanalyzable, such that it can be ...
Information and network security 13 playfair cipherVaibhav Khanna
The Playfair cipher was the first practical digraph substitution cipher. The scheme was invented in 1854 by Charles Wheatstone but was named after Lord Playfair who promoted the use of the cipher. In playfair cipher unlike traditional cipher we encrypt a pair of alphabets(digraphs) instead of a single alphabet
A hash function usually means a function that compresses, meaning the output is shorter than the input
A hash function takes a group of characters (called a key) and maps it to a value of a certain length (called a hash value or hash).
The hash value is representative of the original string of characters, but is normally smaller than the original.
This term is also known as a hashing algorithm or message digest function.
Hash functions also called message digests or one-way encryption or hashing algorithm.
http://phpexecutor.com
Data Analytics and Simulation in Parallel with MATLAB*Intel® Software
This talk covers the current parallel capabilities in MATLAB*. Learn about its parallel language and distributed and tall arrays. Interact with GPUs both on the desktop and in the cluster. Combine this information into an interesting algorithmic framework for data analysis and simulation.
The document explains the problem, cause and effect of Data skew. It also explains different techniques to minimize data skew across various big data technologies like mapreduce, hive and pig.
U3_4_PointerArithmetic.pdf people will use the above preaentationa dnmit23cs
Which of the following statements about selfishness/unselfishness is/are INCORRECT?
1. The same action under one set of circumstances may be unselfish, and under another set quite selfish.
2. True freedom can’t be attained by perfect unselfishness.
3. Whatever is the source of religion/ethics, the central idea is to constantly think of the puny, little self.
Only 1 & 2
Only 2&3
Only 1 & 3
All 1,2 & 3
Which of the following statements about selfishness/unselfishness is/are INCORRECT?
1. The same action under one set of circumstances may be unselfish, and under another set quite selfish.
2. True freedom can’t be attained by perfect unselfishness.
3. Whatever is the source of religion/ethics, the central idea is to constantly think of the puny, little self.
Only 1 & 2
Only 2&3
Only 1 & 3
All 1,2 & 3
Which of the following statements about selfishness/unselfishness is/are INCORRECT?
1. The same action under one set of circumstances may be unselfish, and under another set quite selfish.
2. True freedom can’t be attained by perfect unselfishness.
3. Whatever is the source of religion/ethics, the central idea is to constantly think of the puny, little self.
Only 1 & 2
Only 2&3
Only 1 & 3
All 1,2 & 3
Which of the following statements about selfishness/unselfishness is/are INCORRECT?
1. The same action under one set of circumstances may be unselfish, and under another set quite selfish.
2. True freedom can’t be attained by perfect unselfishness.
3. Whatever is the source of religion/ethics, the central idea is to constantly think of the puny, little self.
Only 1 & 2
Only 2&3
Only 1 & 3
All 1,2 & 3
Which of the following statements about selfishness/unselfishness is/are INCORRECT?
1. The same action under one set of circumstances may be unselfish, and under another set quite selfish.
2. True freedom can’t be attained by perfect unselfishness.
3. Whatever is the source of religion/ethics, the central idea is to constantly think of the puny, little self.
Only 1 & 2
Only 2&3
Only 1 & 3
All 1,2 & 3
Which of the following statements about selfishness/unselfishness is/are INCORRECT?
1. The same action under one set of circumstances may be unselfish, and under another set quite selfish.
2. True freedom can’t be attained by perfect unselfishness.
3. Whatever is the source of religion/ethics, the central idea is to constantly think of the puny, little self.
Only 1 & 2
Only 2&3
Only 1 & 3
All 1,2 & 3
Which of the following statements about selfishness/unselfishness is/are INCORRECT?
1. The same action under one set of circumstances may be unselfish, and under another set quite selfish.
2. True freedom can’t be attained by perfect unselfishness.
3. Whatever is the source of religion/ethics, the central idea is to constantly think of the puny, little self.
Only 1 & 2
Only 2&3
Only 1 & 3
All 1,2 & 3
Which of the following statements about selfishness/unselfishness is/are INCORRECT?
1. The same action under one set of circumstances may
Cassandra Summit 2014: The Cassandra Experience at Orange — Season 2DataStax Academy
Presenter: Jean Armel Luce, Cassandra Administrator at Orange
At the Cassandra Summit Europe 2013, Jean Armel presented "The Cassandra Experience at Orange - Season 1", explaining the 1st steps of Cassandra at Orange (choice of Cassandra, migration without any interruption of service, improvements of the QoS after the migration). For the "Cassandra Experience at Orange - Season 2", Jean Armel is going to focus on 2 new features added to the PnS application during the last months: Graphs and analytics. A Cassandra table must have 1 and only 1 primary key, while some data have many logical identifiers. Designing data as a graph may help! As for analyitcs, Hadoop + Hive allow to do analytics on data stored in Cassandra. This presentation is going to highlight a few tips about the installation of Hadoop/Hive over C*, and about the isolation between mapreduce tasks and on line queries.
At the end of this lecture students should be able to;
Define Keywords / Reserve Words in C programming language.
Define Identifiers, Variable, Data Types, Constants and statements in C Programming language.
Justify the internal process with respect to the variable declaration and initialization.
Apply Variable Declaration and Variable initialization statement.
Assigning values to variables.
Apply taught concepts for writing programs.
ScaleGraph - A High-Performance Library for Billion-Scale Graph AnalyticsToyotaro Suzumura
Please cite the following paper:
Toyotaro Suzumura and Koji. Ueno, "ScaleGraph: A high-performance library for billion-scale graph analytics," 2015 IEEE International Conference on Big Data (Big Data), Santa Clara, CA, 2015, pp. 76-84.
doi: 10.1109/BigData.2015.7363744
Recently, large-scale graph analytics has become a very popular topic owing to the emergence of gigantic graphs whose number of vertices and edges is in millions, billions or even trillions. Many graph analytics libraries and frameworks have been proposed with various computational models and programming languages to deal with such graphs. X10 programming language is a PGAS language that aims at both software performance and programmer's productivity. We introduce ScaleGraph library developed using X10 programming to illustrate the use of X10 for large-scale graph analytics. ScaleGraph library provides XPregel framework that is inspired by Google's Pregel computation model, serving as a building block for implementing graph kernels. We also optimized X10 runtime in some parts such as collective communication and memory management. We evaluated the performance and scalability of ScaleGraph libraries. The result shows that most graph kernels have good performance and scalability. ScaleGraph library is 9.4 times faster than Giraph in the experiment of PageRank with 16 machine nodes. To the best of our knowledge, ScaleGraph is the first X10-based library to address performance, scalability and productivity issues in dealing with large-scale graph analytics.
"Optimization of a .NET application- is it simple ! / ?", Yevhen TatarynovFwdays
Optimization of .NET application seems complex and tied full task, but don’t hurry up with conclusions. Let’s look on several cases from real projects.
For this we:
look under the hood of an application from a real project;
define the metric for optimization;
choose the necessary tools;
find bottlenecks /memory leaks and best practice to resolve them.
We'll improve the application step by step and we’ll what with simple analysis and simple best practice we can significantly reduce total resources usage.
Sheet11-Which of the following is a nonrenewable resourceaSolar e.docxbagotjesusa
Sheet11-Which of the following is a nonrenewable resource?aSolar energybHydrogen fuel cellcWind powerdNatural gas2-Which of the following is a density-dependent factor?aDecrease in temperaturebIncrease in waste productioncDecrease in frequency of hurricanesdIncrease in rainfall3-What structure of dispersion describes high densities of individuals in certain resource-rich areas and low densities elsewhere?aClumped distributionbUniform distributioncRandom dispersiondScattered dispersion4-An owl eating a seed-eating mouse is an example of what?aProducerbPrimary consumercSecondary consumerdTertiary consumer5-A relationship which benefits one species and does not affect the other is called __________.amutualismbcommensalismcparasiticdpredatory
EG-CP/EE 280 Microcontrollers
LAB 4, Spring 2016
Instructor: Dr. Jidong Huang
Student Name:
Group Partner:
Objective: This lab covers the use of stack to store temporary information in an assembly language program.
Equipment and Software provided: PC, Metrowerks CodeWarrior.
Evaluation: Grade for labs will be based on 1) In-lab activities, and 2) Lab report
Lab Duration: 2 lab sessions
Lab Report: Lab report based on this instruction sheet will be collected on Wed., Apr. 6 at the end of the class. The completed lab report shall be uploaded to Titanium using homework assignment tool. Name your lab report as LAB4_EE280_YourName.doc, e.g., LAB4_EE280_DoeJohn.doc.
Lab Activity:
For the following lab activities, please create your test project using the cpe280 project template as provided in Code Warrior. For each coding task, you may fill in the code in cpe280 asm file under the main section below “Entry:”.
1. Practicing the use of Stack
a. An Example
Implement the following program in CodeWarrior
NUM1 EQU $15
NUM2 EQU $2F
LDS #$3C00
LDAA #NUM1
LDAB #NUM2
PSHA
PSHB
CLRA
CLRB
PULB
PULA
Please step through (F11) the program and observe how register value and memory content changes as you step through the code. Please record the results after you execute each instruction code starting from the first line.
Instructions
A
B
SP
M[$3BFE]
M[$3BFF]
M[$3C00]
LDS #$3C00
LDAA #NUM1
LDAB #NUM2
PSHA
PSHB
CLRA
CLRB
PULB
PULA
Now, implement the following program in CodeWarrior
NUM1 EQU $15
NUM2 EQU $2F
LDS #$3C00
LDAA #NUM1
LDAB #NUM2
PSHA
PSHB
CLRA
CLRB
PULA
PULB
Please step through (F11) the program and observe how register value and memory content changes as you step through the code. Please record the results after you execute each instruction code starting from PSHA.
Instructions
A
B
SP
M[$3BFE]
M[$3BFF]
M[$3C00]
PSHA
PSHB
CLRA
CLRB
PULA
PULB
Do you notice any difference in the final results between this program and the previous one? Can you explain why?
2. Design and Implementa.
This presentation is from the Gophercon-India where we talked about how to design a concurrent high performance database client in go language. We talked about how we use goroutines and channels to our advantages. we also talked about how to use pools for efficient memory utilization.
Presented by Ger Hartnett, Manager, Technical Services, MongoDB
Experience level: Advanced
Ger will take you on a ride through some memorable customer stories. Get to hear about some more unusual MongoDB use cases, the idiosyncratic choices behind them, and their path to success. You'll laugh, you'll cry, and you'll learn never to shard collections on booleans again.
Matt Sarrel of Imply draws on his work benchmarking Apache Druid with the Star Schema Benchmark (SSB) and shows how you can performance test Druid with your workload. Virtual meetup of July 16, 2020.
Watch the video: https://www.youtube.com/watch?v=RbwMCy4GsIE
Matt Sarrel of Imply draws on his work benchmarking Apache Druid with the Star Schema Benchmark (SSB) and shows how you can performance test Druid with your workload. Virtual meetup of July 16, 2020.
Similar to Understanding Numbers in Firebird SQL (20)
"Orphans, Corruption, Careful Write, and Logging", by Ann W. Harrison and Jim Starkey. A frequent question on the Firebird Support list is "Gfix thinks my database is corrupt. How can I fix it?" The best answer may be to fix gfix itself so it reports benign errors differently from actual corruption. The most common errors reported by gfix can simply be ignored. From the beginning of InterBase to now, gfix is the least interesting of the utilities, so it's had little attention. However it requires a great deal of knowledge of database internals, so it's not easily replaced by a separately developed tool. So, from 1984 until now, gfix has reported major corruption and benign errors as if they were all the same.
What's a benign error? Usually, it's an artifact from the sudden death of a Firebird server that leaves obsolete record versions or even whole empty pages orphaned - neither released nor in use. Orphans represent lost space, but have no other damaging effect on the database. Orphaned record versions and pages occur because Firebird carefully orders its page writes to avoid the need for before or after logs. Database management systems that rely on logging for durability and recovery write each piece of data twice - once to a log and later to the database. Careful write requires discipline in programming. In 1984, careful write had performance advantages that more than made up for the need for careful programming.
This talk and paper explore the cause of "orphan" pages and record versions, Firebird's careful write I/O architecture, and the trade-offs between careful write and logging today.
Different application domains including sensor networks, social networks, science, financial services, condition monitoring systems demand the storage of a vast amount of data in the petabytes area. Prominent candidates are Google, Facebook, Yahoo!, Amazon just to name a few.
This data volume can't be tackled with convential relational database technologies anymore, either from a technical or licensing point of view or both. It demands a scale-out environment, which allows reliable, scalable and distributed processing. This trend in Big Data management is more and more approached with NoSQL solutions like Apache HBase on top of Apache Hadoop.
This session discusses big data management and their scalability challenges in general with a short introduction into Apache Hadoop/HBase and a case study on the co-existence of Apache Hadoop/HBase with Firebird in a sensor data aquisition system.
Beside improved SMP-support, an exciting new feature in Firebird 2.5 is the new Audit and Trace Services API. This is a completely new way for Firebird administrators and developers to monitor their databases, because it gives you a server-side, configurable and continuous stream of executed trace events, without adding proprietary code into your client application.
This session discusses the Audit and Trace Services API in detail and shows real-world use cases for its usage including a product demonstration of FB TraceManager V2.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.