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Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
SPICE MODEL of uPC3403G2 in SPICE PARK
1. Device Modeling Report
COMPONENTS: OPERATIONAL AMPLIFIER
PART NUMBER: uPC3403G2
MANUFACTURER: NEC ELECTRONICS
REMARK TYPE: (OPAMP)
Bee Technologies Inc.
All Rights Reserved Copyright (c) Bee Technologies Inc. 2004
2. Spice Model
U1
1 14
OUT1 OUT4
2 11
-IN1 -IN4
3 12
+IN1 +IN4
4 11
VCC VEE
5 10
+IN2 +IN3
6 9
-IN2 -IN3
7 8
OUT2 OUT3
UPC3403
All Rights Reserved Copyright (c) Bee Technologies Inc. 2004
3. Output Voltage Swing, +Vout and –Vout
Evaluation circuit
Rload
10k Vout U1
1 14
OUT1 OUT4
2 11
-IN1 -IN4
Vin
VOFF = 0 3 12
VAMPL = 0 +IN1 +IN4
FREQ = 0 4 11
AC = 0 VCC VEE
Vi
DC = 0 VOFF = 0 5 10 V-
VAMPL = 0 +IN2 +IN3
FREQ = 0 V+ 6 9
AC = 0 -IN2 -IN3 -15Vdc
DC = 0 7 8
15Vdc OUT2 OUT3
UPC3403
0 0
The output voltage change of Opamp(open loop) when input DC voltage
(Vin -Vi) is changed with the evaluation circuit is simulated
Simulation result
These simulation results are compared with +Vout
Output Voltage Swing Data sheet Simulation %Error
+Vout(V) +13 +12.999 0.0076
-Vout(V) -13 -12.999 0.0076
All Rights Reserved Copyright (c) Bee Technologies Inc. 2004
4. Input Offset Voltage
Evaluation circuit
Vout U1
1 14
OUT1 OUT4
2 11
-IN1 -IN4
Vin
VOFF = 0 3 12
VAMPL = 0 +IN1 +IN4
FREQ = 0 4 11
AC = 0 VCC VEE
Vi
DC = 0 VOFF = 0 5 10 V-
VAMPL = 0 +IN2 +IN3
FREQ = 0 V+ 6 9
AC = 0 -IN2 -IN3 -15Vdc
DC = 0 7 8
15Vdc OUT2 OUT3
UPC3403
0
Simulation result
Measurement Simulation Error
Vos 7 mV 7.1112 mV 1.591 %
All Rights Reserved Copyright (c) Bee Technologies Inc. 2004
5. Slew Rate, +SR, -SR
Evaluation circuit
2K Rload
Vout U1
1 14
OUT1 OUT4
2 11
-IN1 -IN4
3 12
+IN1 +IN4
V1 = 0 V1
V2 = 14 4 11
TD = 0 VCC VEE
Vi
TR = 10n VOFF = 0 5 10 V-
TF = 10n VAMPL = 0 +IN2 +IN3
PW = 5u FREQ = 0 V+ 6 9
PER = 500u AC = 0 -IN2 -IN3 -15Vdc
V2DC = 0 7 8
-7.1112m 15Vdc OUT2 OUT3
UPC3403
0 0
The output voltage change versus time (slope) of op-amp when input electric
step voltage.
Simulation result
Output voltage change 0.5V in 1 us (If no good can change C2 of Spice
Model Editor)
Data sheet Simulation %Error
Slew Rate(v/us)
0.5 0.491 1.8
All Rights Reserved Copyright (c) Bee Technologies Inc. 2004
6. Input current Ib, Ibos
Evaluation circuit
2K Rload
Vout U1
1 14
OUT1 OUT4
2 11
-IN1 -IN4
3 12
+IN1 +IN4
Vin
VOFF = -7.1112m 4 11
VAMPL = 0 VCC VEE
Vi
FREQ = 0 VOFF = 0 5 10 V-
AC = 0 VAMPL = 0 +IN2 +IN3
DC = 0 FREQ = 0 V+ 6 9
AC = 0 -IN2 -IN3 -15Vdc
DC = 0 7 8
15Vdc OUT2 OUT3
UPC3403
0 0
The input offset current when supply voltage to op-amp
Simulation result
Data sheet Simulation %Error
Ib(nA) 45 44.845 0.344
Ibos(nA) 50 49.87 0.26
All Rights Reserved Copyright (c) Bee Technologies Inc. 2004
7. Open Loop Voltage Gain vs. Frequency , Av-dc, f-0dB
Evaluation circuit
Vout U1
1 14
OUT1 OUT4
2 11
-IN1 -IN4
3 12
+IN1 +IN4
4 11
VCC VEE
Vin Vi
VOFF = 0 VOFF = 0 5 10 V-
VAMPL = 0 VAMPL = 0 +IN2 +IN3
FREQ = 0 FREQ = 0 V+ 6 9
AC = 1m AC = 0 -IN2 -IN3 -15Vdc
DC = -7.1112m DC = 0 7 8
15Vdc OUT2 OUT3
UPC3403
0
The open loop voltage gain of op-amp when supply AC input voltage 1MHz
frequecy
Simulation result
Data sheet Simulation %Error
f-0dB(MHz) 1 0.985 1.5
Av-dc 79432 79031 0.504
All Rights Reserved Copyright (c) Bee Technologies Inc. 2004
8. Output Short Circuit Current - Ios
Evaluation circuit
1nRload
Vout U1
1 14
V6 OUT1 OUT4
2 11
-IN1 -IN4
0 3 12
+IN1 +IN4
4 11
VCC VEE
Vin Vi
VOFF = -7.1112m VOFF = 0 5 10 V-
VAMPL = 0 VAMPL = 0 +IN2 +IN3
FREQ = 0 FREQ = 0 V+ 6 9
AC = 0 AC = 0 -IN2 -IN3 -15Vdc
DC = 0 DC = 0 7 8
15Vdc OUT2 OUT3
UPC3403
0 0
Simulation result
Short Circuit current
Data sheet Simulation %Error
Short Circuit Current
20mA 20.064mA 0.32
All Rights Reserved Copyright (c) Bee Technologies Inc. 2004
9. Common-Mode Rejection Voltage gain
Evaluation circuit
Vout U1
1 14
OUT1 OUT4
2 11
-IN1 -IN4
3 12
+IN1 +IN4
4 11
VCC VEE
Vi Vin 5 10 V-
+IN2 +IN3
V+ 6 9
0Vdc 0Vdc -IN2 -IN3 -15Vdc
7 8
15Vdc OUT2 OUT3
UPC3403
V
VOFF = 0
VAMPL = 0.5
FREQ = 1
AC = 0
DC = -7.1112m
0
Simulation result
Common mode gain=1/0.3981
Common Mode Reject Ratio=79031/2.5519=31462
Data sheet Simulation %Error
CMRR
31622 31462 0.5
All Rights Reserved Copyright (c) Bee Technologies Inc. 2004