I phone 11 features
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The new iPhone 11 full of latest features has just been confirmed by Apple on stage, so we’re putting all the information here as we know about it.
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iPhone
The iPhone has revolutionized the mobile industry since its launch in 2007. It introduced the touchscreen smartphone and popularized features like a large multi-touch display, mobile apps, and integration of music and phones. Each new iPhone generation introduced major hardware and software upgrades, moving to retina displays, powerful processors, improved cameras, and new features like Siri, Apple Pay and wireless charging. Popular iPhone accessories include the Apple Watch, AirPods, and various cases and covers. While praised for its design and innovation, some criticize the iPhone's reliance on iTunes and other Apple products.
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The document discusses the history and evolution of smartphone features from their early inception in the 1990s to modern times. It outlines the progression from initial smartphones combining PDAs and mobile phones, to early models in the 2000s from companies like Ericsson, Blackberry, and Apple. The document then proposes a model categorizing smartphone features into assumed, expected, and delighting levels from around 5 years ago. It applies this model to analyze how Samsung has varied features with each new Galaxy S model to meet consumer expectations while delighting users. The document speculates on possible future smartphone technologies such as tricorder devices, retinal scans, universal translators, bendable screens, and all-day battery life.
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The document discusses the key features of iOS 7, Apple's latest mobile operating system. It was announced in 2013 and introduced a redesigned interface led by Jony Ive that moved away from skeuomorphic designs. Major new features included Control Center, improved multitasking, notifications, Safari, sharing via AirDrop, and enhanced functionality of apps like Camera, Photos, Siri and more. The document provides details on the updated features and user interface changes in iOS 7.
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The document summarizes the history of iOS, beginning with the debut of the original iPhone in 2007 which sold 0.27 million units in its first quarter. It describes how Steve Jobs originally marketed the iPhone's capabilities using web apps and widgets before the App Store was introduced in 2008. The document contrasts early iPhone models with only a 3.5" screen and 2MP camera to current iOS devices with larger high-resolution screens, faster processors and hundreds of thousands of apps available on the App Store.
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The document discusses the history and evolution of smartphone features from their early inception in the 1990s to modern times. It outlines the progression from initial smartphones combining PDAs and mobile phones, to early models in the 2000s from companies like Ericsson, Blackberry, and Apple. The document then proposes a model categorizing smartphone features into assumed, expected, and delighting levels from around 5 years ago. It applies this model to analyze how Samsung has varied features with each new Galaxy S model to meet consumer expectations while delighting users. The document speculates on possible future smartphone technologies such as tricorder devices, retinal scans, universal translators, bendable screens, and all-day battery life.
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The document summarizes the history of iOS, beginning with the debut of the original iPhone in 2007 which sold 0.27 million units in its first quarter. It describes how Steve Jobs originally marketed the iPhone's capabilities using web apps and widgets before the App Store was introduced in 2008. The document contrasts early iPhone models with only a 3.5" screen and 2MP camera to current iOS devices with larger high-resolution screens, faster processors and hundreds of thousands of apps available on the App Store.
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Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Leveraging the Graph for Clinical Trials and Standards
Katja Glaß
OpenStudyBuilder Community Manager - Katja Glaß Consulting
Marius Conjeaud
Principal Consultant - Neo4j
Apps Break Data
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
What is an RPA CoE? Session 2 – CoE Roles
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Demystifying Knowledge Management through Storytelling
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Tomaz Bratanic
Graph ML and GenAI Expert - Neo4j
Session 1 - Intro to Robotic Process Automation.pdf
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Gursev Pirge, PhD
Senior Data Scientist - JohnSnowLabs
Recently uploaded (20)
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
From Natural Language to Structured Solr Queries using LLMs
From Natural Language to Structured Solr Queries using LLMs
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Session 1 - Intro to Robotic Process Automation.pdf
Session 1 - Intro to Robotic Process Automation.pdf
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
I phone 11 features
- 2. Introduction • iPhone 11 full of latest features • Horizontal camera introduced • Consist of dual camera setup • Flashlight between both camera in the middle • Quite better and attractive • Apple 11 got OLED panels
- 3. Specs • Processor • Storage • Camera’s • iPhone 11’s screen • Battery • Compatibility
- 4. Processor • Providing many features • Hexacore processor • perform all the tasks easily • Scratch Resistant Glass • Goes to safeguard the display of the new • Which safe from keys and coins • Apple A13 Bionic
- 5. Storage • 64 GB of the built-in storage • Can store all your data • For software which IOS eleven • Lightest in all ways • Capable to execute tasks
- 6. Camera’s • Introduce Apple iPhone 11 horizontal camera • dual camera setup AF Phase Detection • Auto Flash • Back-illuminated sensor(BSI) • Bokeh Effect • Continuos Shooting • Face detection
- 7. Continue… • Geo-tagging • High Dynamic Range mode(HDR) • ISO control • Optical image stabilization • Time Lapse • White balance presets
- 8. iPhone 11’s screen • Apple iPhone 11 will 6.1 • Screen resolution 1792 x 828 pixels • Type of screen will OLED • Pixel density will 324 PPI • iPhone 11 will be a capacitive touchscreen • Also multi-touch
- 9. Baterry • Apple iPhone 11 having a 3110mAh battery • capacity of Lithium-ion (li-On) • The battery will be removable • Wireless charging facility
- 10. Compatibility • held the latest features • compatible with the Apple Pencil • a USB-C port • whispered to replace the Lightning connection
- 11. General specifications Operating system IOS OS Version iOS 12 USB Connector Type Micro USB Features GPS Sensors Accelerometer, Proximity Sensor, Magnetometer, Barometer, Ambient Light, Gyroscope IP Rating IP65 (Water Resistant) Connectivity NFC, 2G, 3G, VoLTE (Works with Jio), WiFi, 4G LTE (India Compatible), Bluetooth Headphone Jack Type Apple Lightning Connector Height 143.9mm Width 71.4mm
- 12. Communication SIM Card Slots Dual Network Type GSM SIM 1 Details Nano SIM SIM 2 Details eSIM SIM 1 Bands 4G Bands:TD-LTE 2300(band 40) FD-LTE 1800(band 3)3G Bands: UMTS 1900 / 2100 / 850 / 900 MHz2G Bands: GSM 1800 / 1900 / 850 / 900 MHz GPRS:Available EDGE:Available Wi-Fi Features Mobile Hotspot SIM 2 Bands 4G Bands: TD-LTE 2300(band 40) FD-LTE 1800(band 3)3G Bands: UMTS 1900 / 2100 / 850 / 900 MHz 2G Bands: GSM 1800 / 1900 / 850 / 900 MHz GPRS:Available EDGE:Available
- 13. Price & Releasing Date • USD $1341 • Will be released soon earlier this year.
- 14. References • http://www.shadowswork.com/2019/09/11/a pple-iphone-11-2019/ • http://www.shadowswork.com/2019/09/11/i phone-11-features/ • http://www.shadowswork.com/2019/09/12/i phone-11-vs-iphone-11-pro-vs-iphone-11-pro- max-specifications-comparison/