201505新機月報
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This document provides specifications for several new smartphone products, including the Google Nexus 6, HTC One M9+, HTC One E8 Dual SIM, HTC Desire 826, Huawei Honor 4X, Microsoft Lumia 430 Dual SIM, Microsoft Lumia 640, Microsoft Lumia 640 XL Dual SIM, and Xiaomi Mi 4i. For each phone, it lists details like operating system, processor, display size and resolution, camera specifications, memory, and supported 4G LTE bands. The phones range in price and features, with the highest-end models having larger screens, more memory and powerful processors, and the lower-end models having more basic specifications and dual SIM card support.
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201506新機月報(mobile)
This document provides specifications for 14 new mobile products, including the Asus Zenfone 2, Google Nexus 6, HTC Desire 820s, Huawei P8 Lite, InFocus M550, LG G4, Oppo Mirror 3, Panasonic Lumix CM1, Sony Xperia M4 Aqua Dual, Sony Xperia C4, and Sony Xperia Z3+. For each product, the summary includes the operating system, processor, display size and resolution, front and rear camera specifications, memory, and cellular network connectivity details. The products span a range of price points and manufacturers.
201506新機月報(tablet)
The document discusses two new tablet products, the Sony Xperia Z4 Tablet and the Samsung Galaxy Tab E. The Sony tablet has a 10.1-inch screen with high resolution, Snapdragon 810 processor, 3GB of RAM, 32GB of storage, and main and front cameras of 8.1MP and 5.1MP respectively. The Samsung Galaxy Tab E has a 9.6-inch screen, quad-core 1.3GHz processor, 1.5GB of RAM, 8GB of storage, and main and front cameras of 5MP and 2MP respectively.
E xtreme dale, shoprite australia, ford smartphones 2014
This document contains specifications for 14 smartphone models from eXtreme Dale, ShopRite Australia. The models range from 3.5-inch to 6.5-inch screens and include dual-core, quad-core and octa-core processors. They run Android 4.2 to 4.4 and have various camera, memory, battery and connectivity configurations. Contact information is provided for the factory in China and the Australian office.
Apple iPhone 6 vs Motorola Moto G
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ZURI - Digital Lifestyle Device
Micro USB 5V/2A
Output 2*USB 5V/2.1A Max
Dimension 68*11*170 mm
Weight 230 g
Material Aluminum alloy with smart led display
Colors Silver, Gold, Dark Blue
Feature
Aluminum Slim Design with dual USB
output & LED Display
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- Hi Power Li-poly Battery
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This document provides specifications for 14 new mobile products, including the Asus Zenfone 2, Google Nexus 6, HTC Desire 820s, Huawei P8 Lite, InFocus M550, LG G4, Oppo Mirror 3, Panasonic Lumix CM1, Sony Xperia M4 Aqua Dual, Sony Xperia C4, and Sony Xperia Z3+. For each product, the summary includes the operating system, processor, display size and resolution, front and rear camera specifications, memory, and cellular network connectivity details. The products span a range of price points and manufacturers.
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The document discusses two new tablet products, the Sony Xperia Z4 Tablet and the Samsung Galaxy Tab E. The Sony tablet has a 10.1-inch screen with high resolution, Snapdragon 810 processor, 3GB of RAM, 32GB of storage, and main and front cameras of 8.1MP and 5.1MP respectively. The Samsung Galaxy Tab E has a 9.6-inch screen, quad-core 1.3GHz processor, 1.5GB of RAM, 8GB of storage, and main and front cameras of 5MP and 2MP respectively.
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Samsung Galaxy S10 Lite detailed specifications
Samsung Galaxy S10 Lite price in Pakistan starts at Rs. 113,999. This is for the base variant with 6GB of RAM and 128GB of internal storage.
The retail price of the Samsung Galaxy S10 Lite in Pakistan is Rs. 113,999.
S10 Lite Price
Rs. 113,999
Released 2020, February 03
186g, 8.1mm thickness
Android 10, up to Android 13, One UI 5
128GB/512GB storage, microSDXC
6/8GB RAM Snapdragon 855
Build
OS Android 10 OS
UI OneUI 2.0
Dimensions 162.5 x 75.6 x 8.1 mm
Weight 186 g
SIM Dual Sim, Dual Standby (Nano-SIM)
Colors Prism White, Prism Black, Prism Blue
Frequency
2G Band SIM1: GSM 850 / 900 / 1800 / 1900
SIM2: GSM 850 / 900 / 1800 / 1900
3G Band HSDPA 850 / 900 / 1700(AWS) / 1900 / 2100
4G Band LTE band 1(2100), 2(1900), 3(1800), 4(1700/2100), 5(850), 7(2600), 8(900), 12(700), 13(700), 17(700), 18(800), 19(800), 20(800), 25(1900), 26(850), 28(700), 32(1500), 38(2600), 39(1900), 40(2300), 41(2500), 66(1700/2100)
Processor
CPU Octa-core (1 x 2.84 GHz Kryo 485 + 3 x 2.42 GHz Kryo 485 + 4 x 1.78 GHz Kryo 485)
Chipset Qualcomm SM8150 Snapdragon 855 (7 nm)
GPU Adreno 640
Display
Technology Super AMOLED Plus Capacitive Touchscreen, 16M Colors, Multitouch
Size 6.7 Inches
Resolution 1080 x 2400 Pixels (~393 PPI)
Extra Features Always-on display, HDR
https://www.samsung.com/pk/mobile/
Memory
Built-in 128GB Built-in, 6/8GB RAM, UFS 2.1
Card microSDXC
Camera
Main Triple Camera: 48 MP, f/2.0, 26mm (wide), 1/2″, PDAF, OIS + 12 MP, f/2.2, 12mm (ultrawide) + 5 MP, f/2.2, depth sensor, LED Flash
Features OIS, Geo-tagging, face/smile detection, Auto HDR, panorama, Video (2160p@30fps, 1080p@30/60fps (gyro-EIS), 720p@960fps)
Front 32 MP, f/2.2, HDR, Video (1080p@30fps)
Connectivity
WLAN Wi-Fi 802.11 a/b/g/n/ac, dual-band, Wi-Fi Direct, hotspot
Bluetooth v5.0 with A2DP, LE
GPS Yes + A-GPS support & Glonass, BDS, GALILEO
Radio FM Radio
USB 2.0, Type-C 1.0 reversible connector
NFC No
Data GPRS, Edge, 3G (HSPA 42.2/5.76 Mbps), 4G LTE-A
Features
Sensors Accelerometer, Compass, (under display, optical), Gyro, Proximity
Audio MP4/DivX/XviD/WMV/H.265 player, MP3/WAV/WMA/eAAC+/FLAC player, 32-bit/384kHz audio, Speaker Phone
Browser HTML5
Messaging SMS(threaded view), MMS, Email, Push Mail, IM
Games Built-in + Downloadable
Torch Yes
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Battery
Capacity (Li-Po Non removable), 4500 mAh
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S10 Lite Price
Rs. 113,999
Released 2020, February 03
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Android 10, up to Android 13, One UI 5
128GB/512GB storage, microSDXC
6/8GB RAM Snapdragon 855
Build
OS Android 10 OS
UI OneUI 2.0
Dimensions 162.5 x 75.6 x 8.1 mm
Weight 186 g
SIM Dual Sim, Dual Standby (Nano-SIM)
Colors Prism White, Prism Black, Prism Blue
Frequency
2G Band SIM1: GSM 850 / 900 / 1800 / 1900
SIM2: GSM 850 / 900 / 1800 / 1900
3G Band HSDPA 850 / 900 / 1700(AWS) / 1900 / 2100
4G Band LTE band 1(2100), 2(1900), 3(1800), 4(1700/2100), 5(850), 7(2600), 8(900), 12(700), 13(700), 17(700), 18(800), 19(800), 20(800), 25(1900), 26(850), 28(700), 32(1500), 38(2600), 39(1900), 40(2300), 41(2500), 66(1700/2100)
Processor
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Chipset Qualcomm SM8150 Snapdragon 855 (7 nm)
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Connectivity
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GPS Yes + A-GPS support & Glonass, BDS, GALILEO
Radio FM Radio
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NFC No
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Features
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The document provides product specifications for the Haipai I9220 smartphone. It has a 5.3-inch touchscreen, MTK6575 1GHz processor, 512MB RAM, Android 4.0 operating system, dual cameras, WiFi, Bluetooth, GPS and supports 3G and 2G networks. It provides details on the screen resolution, memory capacity, battery life and other key features.
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The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentationsGraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Pushing the limits of ePRTC: 100ns holdover for 100 days
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Securing your Kubernetes cluster_ a step-by-step guide to success !
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Recently uploaded (20)
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
201505新機月報
- 1. 201505 New Product (Smart Phone) 顯示之窗產業研究顧問工作室 劉大鵬
- 2. 2015/05
- 3. Google Nexus 6 32GB 4G LTE FDD LTE 700/900/1800 Android 5.0 Qualcomm Snapdragon 805, Quad-core, 2.7GHz AMOLED, 5.96-inch, 2560x1440 Camera: Main 13MP / Front 2MP 3GB RAM / 32GB ROM
- 4. Google Nexus 6 64GB 4G LTE FDD LTE 700/900/1800 Android 5.0 Qualcomm Snapdragon 805, Quad-core, 2.7GHz AMOLED, 5.96-inch, 2560x1440 Camera: Main 13MP / Front 2MP 3GB RAM / 64GB ROM
- 5. HTC One M9+ 4G LTE FDD LTE 700/850/900/1800/2100/2600 TDD LTE 1900/2300/2500/2600 Android 5.0 Mediatek MT6795, 64-bit, Octa-core, 2.2GHz 5.2-inch, 2560x1440 Camera: Main 20MP / Front 4.08MP UltraPixel 3GB RAM / 32GB ROM
- 6. HTC One E8 Dual SIM 4G LTE / WCDMA + GSM Dual SIM 4G LTE FDD LTE 1800/2600 Android 4.4 Qualcomm Snapdragon 801, Quad-core, 2.5GHz 5-inch, 1920x1080 Camera: Main 13MP / Frint 5MP 2GB RAM / 16GB ROM
- 7. HTC Desire 826 Dual SIM 4G LTE FDD LTE 700/850/900/1800/2100/2600 TDD LTE 1900/2300/2500/2600 Android 5.0 Qualcomm Snapdragon 615, 64-bit, Octa-core, 1.7GHz 5.5-inch, 1920x1080 Camera: Main 13MP / Front 4.08MP 2GB RAM / 16GB ROM
- 8. Huawei Honor 4X 4G LTE FDD LTE 700/850/900/1800/2100/260 Android 4.4 HiSilicon Kirin 620, 64-bit, Octa-core, 1.2GHz 5.5-inch, 1280x720 Camera: Main 13MP / Frint 5MP 2GB RAM / 8GB ROM
- 9. Microsoft Lumia 430 Dual SIM WCDMA + GSM Dual SIM Windows Phone 8.1 Qualcomm Snapdragon 200, Dual-core, 1.2GHz 4-inch, 800x480 Camera: Main 2MP / Front 0.3MP 1GB RAM / 8GB ROM
- 10. Microsoft Lumia 640 4G LTE FDD LTE 800/900/1800/2100/2600 Windows Phone 8.1 Qualcomm Snapdragon 400, Quad-core, 1.2GHz 5-inch, 1280x720 Camera: Main 8MP / Front 0.9MP 1GB RAM / 8GB ROM
- 11. Microsoft Lumia 640 XL Dual SIM Dual SIM 4G LTE FDD LTE 800/900/1800/2100/2600 Windows Phone 8.1 Qualcomm Snapdragon 400, Quad-core, 1.2GHz 5.7-inch, 1280x720 Camera: Main 13MP / Front 5MP 1GB RAM / 8GB ROM
- 12. Xiaomi Mi 4i 4G / WCDMA + GSM Dual SIM 4G LTE FDD LTE 1800/2600 TDD LTE 1900/2300/2500/2600 Android 5.0 Qualcomm Snapdragon 615, 64-bit, Octa-core, 1.7GHz 5-inch, 1920x1080 Camera: Main 13MP / Front 5MP 2GB RAM / 16GB ROM