#MultiModel AI

[appiantips]

Understanding Multimodal AI: Integration of Diverse Data for Precise Analysis and Predictions

What is multimodal AI? MultiModal AI refers to artificial intelligence systems that integrate multiple types of data, such as video, audio, speech, images, text, and traditional numerical data. By combining these diverse data types, multimodal AI can provide more accurate analyses, draw insightful conclusions, and make precise predictions about real-world problems. The key advantage of multimodal…

[pksinha1]

Latest AI Tech Kling & Runway ML Turns

You're Just 3 Steps Away                                       From Creating Full Ultra HD Ai Videos, Ai Animation Videos, Ai Story Telling Videos, Ai Human-Talking Videos, Ai Character Videos, Ai Cartoon Videos, Ai Celebrities Videos, Ai Instagram & YouTube Videos, Ai 3D Video Ads, Ai Video Voice Overs, Ai Music & Video Songs, Ai Images & Arts, Ai Image Animations, Ai Multi-Model Contents, Ai Multi-Tasking Bots…                                            A.I Story Telling Videos                                          Generate Eye-dropping Ai Story Telling Videos In Any Niche Instantly…

Say goodbye to the hassle of creating Story Telling Ai Videos from to multiple Ai platforms                                                                Ai Animation Videos                                            Harness the power of FutureAI to craft Ultra-HD 3D animation videos at lightning speed!

Prepare to be amazed as you bring your visions to life with breathtaking quality and mind-blowing efficiency                                                           A.I Avatar Talking Video…                                      Easily craft mind-boggling realistic Ai videos for Prepare to be captivated as your imagination comes to life, pushing the boundaries of what's possible.                                 A.I Instagram & YouTube Videos                           Witness the groundbreaking power of FutureAi app as it creates A.I. Instagram & YouTube Videos that go viral, racking up views like never before!                                           A.I Video Songs                                                        Get ready for a revolution in the music world with FutureAI's groundbreaking A.I. Video Songs!                                                             A.I Multimodel Contents                          

More Info: click hair

[drmikewatts]

IEEE Transactions on Artificial Intelligence, Volume 6, Issue 3, March 2025

1) Fair Machine Learning in Healthcare: A Survey

Author(s): Qizhang Feng, Mengnan Du, Na Zou, Xia Hu

Pages: 493 - 507

2) Regret and Belief Complexity Tradeoff in Gaussian Process Bandits via Information Thresholding

Author(s): Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Brian M. Sadler, Alec Koppel

Pages: 508 - 517

3) An Evolutionary Multitasking Algorithm for Efficient Multiobjective Recommendations

Author(s): Ye Tian, Luke Ji, Yiwei Hu, Haiping Ma, Le Wu, Xingyi Zhang

Pages: 518 - 532

4) Deep-Learning-Based Uncertainty-Estimation Approach for Unknown Traffic Identification

Author(s): Siqi Le, Yingxu Lai, Yipeng Wang, Huijie He

Pages: 533 - 548

5) ReLAQA: Reinforcement Learning-Based Autonomous Quantum Agent for Quantum Applications

Author(s): Ahmad Alomari, Sathish A. P. Kumar

Pages: 549 - 558

6) Traffexplainer: A Framework Toward GNN-Based Interpretable Traffic Prediction

Author(s): Lingbai Kong, Hanchen Yang, Wengen Li, Yichao Zhang, Jihong Guan, Shuigeng Zhou

Pages: 559 - 573

7) Personalized Learning Path Problem Variations: Computational Complexity and AI Approaches

Author(s): Sean A. Mochocki, Mark G. Reith, Brett J. Borghetti, Gilbert L. Peterson, John D. Jasper, Laurence D. Merkle

Pages: 574 - 588

8) Prompt Learning for Few-Shot Question Answering via Self-Context Data Augmentation

Author(s): Jian-Qiang Qiu, Chun-Yang Zhang, C. L. Philip Chen

Pages: 589 - 603

9) MDA-GAN: Multiscale and Dual Attention Generative Adversarial Network for Bone Suppression in Chest X-Rays

Author(s): Anushikha Singh, Rukhshanda Hussain, Rajarshi Bhattacharya, Brejesh Lall, B.K. Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, D.J. Christopher

Pages: 604 - 613

10) Image Tampering Detection With Frequency-Aware Attention and Multiview Fusion

Author(s): Xu Xu, Junxin Chen, Wenrui Lv, Wei Wang, Yushu Zhang

Pages: 614 - 625

11) NICASU: Neurotransmitter Inspired Cognitive AI Architecture for Surveillance Underwater

Author(s): Mehvish Nissar, Badri Narayan Subudhi, Amit Kumar Mishra, Vinit Jakhetiya

Pages: 626 - 638

12) Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds

Author(s): Kai Liu, Kang You, Pan Gao, Manoranjan Paul

Pages: 639 - 650

13) Neural Network-Based Ensemble Learning Model to Identify Antigenic Fragments of SARS-CoV-2

Author(s): Syed Nisar Hussain Bukhari, Kingsley A. Ogudo

Pages: 651 - 660

14) Bridging the Climate Gap: Multimodel Framework With Explainable Decision-Making for IOD and ENSO Forecasting

Author(s): Harshit Tiwari, Prashant Kumar, Ramakant Prasad, Kamlesh Kumar Saha, Anurag Singh, Hocine Cherifi, Rajni

Pages: 661 - 675

15) Model-Heterogeneous Federated Graph Learning With Prototype Propagation

Author(s): Zhi Liu, Hanlin Zhou, Xiaohua He, Haopeng Yuan, Jiaxin Du, Mengmeng Wang, Guojiang Shen, Xiangjie Kong, Feng Xia

Pages: 676 - 689

16) Semisupervised Breast MRI Density Segmentation Integrating Fine and Rough Annotations

Author(s): Tianyu Xie, Yue Sun, Hongxu Yang, Shuo Li, Jinhong Song, Qimin Yang, Hao Chen, Mingxiang Wu, Tao Tan

Pages: 690 - 699

17) NL-CoWNet: A Deep Convolutional Encoder–Decoder Architecture for OCT Speckle Elimination Using Nonlocal and Subband Modulated DT-CWT Blocks

Author(s): P. S. Arun, Bibin Francis, Varun P. Gopi

Pages: 700 - 709

18) Multiattribute Deep CNN-Based Approach for Detecting Medicinal Plants and Their Use for Skin Diseases

Author(s): Prachi Dalvi, Dhananjay R. Kalbande, Surendra Singh Rathod, Harshal Dalvi, Amey Agarwal

Pages: 710 - 724

19) Deep Feature Unsupervised Domain Adaptation for Time-Series Classification

Author(s): Nannan Lu, Tong Yan, Song Zhu, Jiansheng Qian, Min Han

Pages: 725 - 737

20) Enhanced LiDAR-Based Localization via Multiresolution Iterative Closest Point Algorithms and Feature Extraction

Author(s): Yecheng Lyu, Xinkai Zhang, Feng Tao

Pages: 738 - 746

21) Swin-MGNet: Swin Transformer Based Multiview Grouping Network for 3-D Object Recognition

Author(s): Xin Ning, Limin Jiang, Weijun Li, Zaiyang Yu, Jinlong Xie, Lusi Li, Prayag Tiwari, Fernando Alonso-Fernandez

Pages: 747 - 758

22) A Two-Level Neural-RL-Based Approach for Hierarchical Multiplayer Systems Under Mismatched Uncertainties

Author(s): Xiangnan Zhong, Zhen Ni

Pages: 759 - 772

23) Adaptive Neural Network Finite-Time Event Triggered Intelligent Control for Stochastic Nonlinear Systems With Time-Varying Constraints

Author(s): Jia Liu, Jiapeng Liu, Qing-Guo Wang, Jinpeng Yu

Pages: 773 - 779

24) DDM-Lag: A Diffusion-Based Decision-Making Model for Autonomous Vehicles With Lagrangian Safety Enhancement

Author(s): Jiaqi Liu, Peng Hang, Xiaocong Zhao, Jianqiang Wang, Jian Sun

Pages: 780 - 791

[aionlinemoney]

Amazon Nova Models: The Game-Changer in AI Technology

Amazon recently introduced Amazon Nova, a series of innovative AI models designed to transform how individuals and businesses interact with technology. This were announced at the AWS  2024 conference that these models bring significant development in AWS artificial intelligence. These new models target industries like content creation, communication, and data analysis. Let’s explore what Amazon Nova offers and why it is making big news in the technology sector and also in AI foundation models.

What is Amazon Nova?

This is a collection of AI foundational models developed as part of Amazon’s generative AI. These models include Nova Micro, Nova Lite, and Nova Pro, every model serving unique use cases ranging from text summarization to advanced multimodal capabilities. Designed to integrate seamlessly with AWS services, These AI foundation models are expected to redefine efficiency and innovation for developers and businesses.

Features of Amazon Nova (AI foundation models)

Amazon Nova Micro: This model is perfect for cost-efficient tasks like text summarization, translation, and interactive chat and coding.

Amazon Nova Lite: A multimodal model that processes text, images, and videos, perfect for real-time interactions and document analysis. The model can handle inputs up to 3,00,000 tokens long and analyze several pictures or up to 30 minutes of video in one request.

Amazon Nova Pro: Nova Pro is the most advanced in the lineup, handling up to 3,00,000 tokens, suitable for complex tasks like detailed video analysis and customer support. AWS artificial intelligence is making the models very perfect.

Content Creation Tools

Amazon Nova Reel: Nova Reel creates high-quality videos from text and image inputs. Currently, it supports six-second clips with plans to expand to two-minute durations. Nova reel will be the best option for advertisers to create high-quality reels, making it perfect for marketing and advertising campaigns.

Amazon Nova Canvas: Nova Canvas generates premium-quality images based on text inputs. It includes advanced features like watermarking for responsible AI use and outperforms competitors like OpenAI’s DALL-E on a key basis.

Future Models in Development

Amazon AWS artificial intelligence has teased upcoming releases, including the Nova Premier, focused on advanced reasoning, and a speech-to-speech AI for natural human-like conversations. Additionally, the any-to-any modality model, which can process and output text, images, speech, and video is set to lauch by mid-2025. These were models that were launched at the AWS Artificial Intelligence 2024 conference.

Why is Amazon Nova Important? 

Amazon Nova launched with a growing demand for advanced AWS Artificial intelligence solutions in various industries. These models provide businesses with tools to simplify processes and enhance the experiences of customers while creating dynamic content, etc. For example, Amazon Nova Multimodel’s capabilities allow a seamless integration into industries like e-commerce, healthcare, and education.

By integrating these models with AWS artificial intelligence, Amazon ensures scalability and accuracy for enterprises worldwide. This model’s affordability and performance make it an important option for all sizes of businesses, This makes it competitive with companies like OpenAI and Anthropic, This model launched with the increasing demand for advanced  AWS Artificial intelligence solutions in various industries. These models are capable of tasks like content generation from text to images and videos, these AI foundation models can be beneficial for marketers or agencies, for advertising and content creation purposes.

What Makes Amazon Nova Unique?

Affordable Innovation: This models are designed to be budget-friendly, making them easily accessible for small businesses and developers.

Focus on Safety: Built-in features like watermarking and content moderation ensure that AI technologies are used responsibly and ethically.

Exceptional Performance: Nova AWS artificial intelligence consistently delivers top-notch results in industry tests, especially in content creation, outperforming many competitors.

What’s Next for Amazon Nova?

Amazon plans to enhance Nova with next-generation models and advanced features like better speech recognition and multimodal processing. By leveraging AWS’s powerful infrastructure, Amazon aims to drive innovation and become a leader in AI across various industries.

Conclusion

Amazon Nova is transforming the AI world with its innovative tools that make complex tasks easier and inspire creativity. Whether you’re a developer, business owner, or content creator, Nova’s advanced technology is designed to take your work to next level. Keep Your Knowledge up to date of about Artificial Intelligence, Read AI related blogs and News only at AiOnlineMoney.

#aionlinemoney.com

[ericvanderburg]

The Ray-Ban Meta Smart Glasses Have Multimodel AI Now

http://i.securitythinkingcap.com/T5wMLQ

[akhi-review]

Creative AI 2.0: Generate & Convert Your Content Into Real Cartoon, Cinematic Videos

Welcome to my Creative AI 2.0 App blog post review. Artificial intelligence is the new global sensation! It has taken the world by storm, forcing every marketer & business owner to bow down to its supreme range. Creative AI 2.0 has a commercial license that lets you start selling unlimited content, website codes, and graphics. Grab this life-changing one-time opportunity and start profiting like never before. With Creative A 2.0 you will get ✅One-time investment gives access to this “Gemini & Palm2 2.0” AI-powered app… ✅Craft Stunning Full Ultra HD Ai Videos In Any Niche… ✅Generate Eye-dropping AI Telling Videos… ✅Create Ultra-HD 3D Animation Videos… ✅Create AI avatar Spokes Videos For Your Marketing Campaigns… ✅Generate Captivating Ai Characters & Cartoon Videos… ✅Craft Viral Celebrity Talking AI Videos With 1-Click… ✅Create Engaging Instagram, YouTube & TikTok Videos… ✅Craft Eye-Catching 3D Video Ads For Your Marketing Campaigns… ✅Generate Unlimited Ai Voice-Overs & Video Songs In Different Languages… ✅Create & Sell Unlimited HD Ai Images, Arts & Graphics In Just 1-Click… ✅Convert Any Normal Image Into Animated Image… ✅Design limitless AI logos, drawings, and art like a PRO With Built-In AI Picasso… ✅Get started now, no prior tech skills are needed… ✅30 days money-back guarantee… ✅89% Early bird discount available…

CREATIVE AI 2.0 REVIEW : OVERVIEW

Vendor: Akshat Gupta Product: CreativeAI 2.0 Launch Date: 2024-Jan-22 Launch Time: 11:00 EST Front-End Price: $17 Refund: Yes, 30 days money back guarantee Support: Effective Response Recommendation: Highly Recommended Skill Level Needed: All Levels Payment system – 1-time payment

WHAT IS CREATIVE AI 2.0 ?

Creative AI 2.0 is the World’s First & Only App, Fully Powered By Google’s Latest Multimodel AI technology “Gemini & Palm 2.0” that Turns Your Alexa-like voice Commands Into Stunning multi-model AI content, Videos, Graphics, Music & More. CreativeAi 2.0 allows you to skip all the nonsense and get straight to the result & all it takes is just a few easy clicks In minutes from now, you can create AI ✅Creative Ultra-Hd Ai Videos, ✅ Animation Videos, ✅Story Telling, Human-Talking , Characters , Cartoon, Celebrities, Instagram & YT Videos, ✅ Instagram & YT Videos, ✅2D & 3D Video Ads, ✅Video Voice Overs, ✅ Video Song Creator, ✅ Image & Art Creator, ✅Image Animator, ✅Multimodel Contents, ✅ Multi-Tasking Bots, And So Much More… Finally, you don’t have to deal with… ❌Expensive third-party AI tools… ❌Expensive video & designers…

ABOUT THE CREATORS

Akshat Gupta is the visionary mind behind the revolutionary Creative 2.0 platform. Some of his inventions are AI GameZone, AI VideoBooks, AI AppMaker, AI VideoSong, AiPuzzles, and many more.

KEY FEATURE

AI Story Telling Videos – Generate Eye-dropping AI Telling Videos In Any Niche Instantly. Say goodbye to the hassle of creating storytelling AI videos from multiple AI platforms.

AI Spokesperson Video – Easily craft mind-boggling realistic AI videos for Prepare to be captivated as your imagination comes to life, pushing the boundaries of what’s possible.

Ai Animation Videos – With the power of CreativeAI 2.0, Prepare to be amazed as you bring your visions to life with breathtaking quality and mind-blowing efficiency.

Ultra HD AI Videos – Effortlessly Craft Stunning Ultra HD AI Videos About Any Topic You Want and Get Paid By selling these captivating AI videos on our Built-in Marketplace.

Ai Cinematic Videos – Create breathtaking visuals, epic storytelling, and unparalleled cinematic artistry.

A.I. Video Presentation & Storyboard – Unlock the secrets of A.I. Video Presentation & Storyboards to ignite your sales and profit potential!

A.I. Character Videos – Unleash the magic of A.I. Character Videos and watch your stories come alive!

AI Cartoon Videos – Watch as your content comes to life in vibrant, animated form, capturing the attention of your audience like never before.

A.I Celebrities Videos – Experience the magic of A.I. Celebrities Videos, brought to life by the remarkable Creative AI 2.0 app!

A.I Instagram & YouTube Videos – It creates A.I. Instagram & YouTube Videos that go viral, racking up views like never before! Not just with Instagram and Youtube you can even create videos for TikTok, Shorts, or any other platform…

AI 3D Video Ads – With CreativeAi 2.0, Watch your conversions soar as captivating video ads grab your audience’s attention like never before.

A.I. Video Voice Overs – Get ready to leave a lasting impression with A.I. Video Voice Overs that make your videos truly unforgettable!

A.I Video Songs – Create unforgettable melodies and captivating visuals for your songs and drive staggering views and traffic.

AI Images, Graphics & Arts – Craft stunning AI images, graphics, and arts for your marketing campaigns.

A.I Image Animation -Turn any normal image into an animated version just with a single. Bring normal images to life with this unique feature.

AI Multimodel Contents – Create multi-model AI content from AI images to videos to graphics to animated videos and so much more…

A.I Multi-Tasking Bots – With Creative AI 2.0 you can generate a list of AI bots working for you non-stop…

Ai Audio-To-Text Transcription – With Creative 2.0 you can convert any audio into the script with just 1-click.

Comes With Commercial License – Sell unlimited ai generated content with no restrictions at all.

Built-in Audience To Sell Your Creations -Now, sell anything you want to our built-in audience…

CREATIVE AI 2.0 – CAN DO FOR YOU

✅Start your very content creation agency & charge anything you like… ✅Design and sell jaw-dropping AI visuals, and art for maximum profit to your clients… ✅Sell anything to anyone from Warriorplus, Jvzoo, or Clickbank with high-converting sales copies… ✅Create & promote your own digital & info products, such as ebooks, essays, info courses, etc. ✅Craft & sell high-converting marketing materials like AI images, AI videos, and so much more… ✅Start your graphic designing agency & charge customers anything you like.

HOW DOES IT WORK

Just type in the description or give voice commands for producing AI videos, graphics, codes, and even software. It works in less than 2 minutes! You’re just 3 steps away.

Frequently Asked Questions

Q. What exactly is CreativeAI 2.0? World’s First & Only App, Fully Powered By Google’s Latest Multimodel AI Technology “Gemini & Palm 2.0” That Turns Alexa-Like Voice Commands Into Multi-Model AI Contents, Videos, Animations, Arts, Logos & So Much More… Q. Do I need some prior skills or experience to get started? Creative AI 2.0 is 100% newbie-friendly with an easy-to-use dashboard… Q. What happens if I don’t see results? We’ve got you covered… If you don’t see your desired results with Creative AI 2.0 just let us know within the next 30 days and we’ll refund you every penny… Q. What if I get confused along the way? Don’t worry we have exclusive detailed video training for you that shows all the required steps. Q. What if I get confused along the way? Don’t worry we have exclusive detailed video training for you that shows all the required steps. Q. Is This Compatible with both PC, Mac, Android, And iOS? It works on any device. Q. How Do I Lock-In My Discount? Click the button below to get the Creative AI 2.0 at the lowest price…

CONCLUSION

Start saving and stop paying for expensive third-party software and services. Get anything you want just with your voice commands. If you leave this app, you’ll lose the biggest opportunity of your life in 2024.

[niladri123]

CreativeAI 2.0 Review - Turns Your Alexa-Like Voice Commands Into Videos | Akshat Gupta!

Introduction CreativeAI 2.0 Review:

Welcome to my CreativeAI 2.0 Review. I am Niladri Majumder a digital marketer, Saas product review writer, and a review video maker!

Akshat Gupta is the creator of this product CreativeAI 2.0!

CreativeAI 2.0 is a Truly ChatGPT, MidJourney, Dall.E & Google Bard Killer App That Turns Your Bing-Like Voice Commands Into CreativeAI 2.0 Videos, Animation Videos, Story Telling Videos, Human-Talking Videos, AI characters Videos And So Much More.

>> For more details visit Official website!

Product Overview:

Product: CreativeAI 2.0

Creator / Vendor: Akshat Gupta

Launch date and time: Jan 22nd @11:00 am EST 2024.

Front End Price: $17

Customer support: Excellent

Money-back guarantee: 30 days

Recommendation: Highly Recommended

My Product Rating: 9/10

Official website: >> CLICK HERE <<

Why CreativeAI 2.0 is Recommended?

You can now generate Not Only Content but also Storytelling Videos, Studio Videos 4K/8K Videos, Cinematic Videos 4K/8K Videos, Emotion Based Voiceovers & AudioBooks For Yourself & For Your Clients With the power of Real AI (Full Bing Edge & Copilot 1.0 Approved)

Craft Stunning 4K Ai Videos In Any Niche

Generate Eye-dropping Ai Story Telling Videos

Create Ultra-HD 3D Animation Videos

Create Ai Avatar Spokes Videos For Your Marketing Campaigns

Generate Captivating Ai Characters & Cartoon Videos

Craft Viral Celebrity Talking Ai Videos With 1-Click

Create Engaging Instagram, YouTube & TikTok Videos

Craft Eye-Catching 3D Video Ads For Your Marketing Campaigns

Generate Unlimited Ai Voice-Overs & Video Songs In Different Languages

Create & Sell Unlimited HD Ai Images, Arts & Graphics In Just 1-Click

Convert Any Normal Image Into Animated Image

Design limitless Ai Logos, drawings, and art like a PRO

How does CreativeAI 2.0 work?

Step 1: Command: Give Bing-like voice commands.

Step 2: Generate: CreativeAI 2.0 harnesses the power of Microsoft's latest Ai Tech “Bing Edge & Copilot 1.0” & generates high-quality multi-model ai content in no time.

Step 3: Profit: Start profiting by selling these High-In-Demand Multimodel Ai Contents & Videos To Our Built-in Audience.

Overall, CreativeAI 2.0 offers superior service, and premium experience and gives you a DFY business.

>> For more details visit Official website!

Benefits:

A True ChatGPT, OpenAi, Google Bard & MidJourney Killer App.

Creative AI Video: Ignite visual creativity with a powerful Drag - n - Drop video editing tool.

Storyboard AI: Plan and visualize ideas with dynamic visual storyboards.

AI Audio Canvas: Immerse your audience in captivating audio experiences.

Creative AI Engine: Unleash the power of intelligent content generation.

AI Animation Studio: Create visually stunning cartoon videos that inspire creativity.

Avatar To Ai Video: Turn Any Normal Avatar Images Into Captivating Ai Video.

Voiceover AI Maestro: Empowers voiceover generation and editing for captivating narratives.

AI Picasso: Transform text into captivating images, sparking imagination and visually bringing your words to life.

3D Imagination AI Studio: Enables users to create three-dimensional ads and videos, incorporating visual depth and effects.

AI Music Composer: Craft captivating melodies and original soundtracks.

AI Character Generator: Design and create unique characters with customizable appearances, traits, and backgrounds.

What will you get inside?

Google's Latest Ai "Gemini & Palm 2.0" Powered App - VALUE: $497

Built-in Voice Alexa-Like Command Instructor - VALUE: $997

Craft Full Ultra HD Ai Videos In Any Niche - VALUE: $997

Generate Eye-dropping Ai Story Telling Videos - VALUE: $997

Create Ultra-HD 3D Animation Videos - VALUE: $997

Create Ai Human Spokesperson Videos For Your Marketing Campaigns - VALUE: $997

Generate Captivating Ai Characters & Cartoon Videos - VALUE: $997

Craft Viral Celebrity Talking Ai Videos With 1-Click - VALUE: $997

Create 8K Ultra HD Cinematic Style Video - VALUE: $597

Create Engaging Instagram, YouTube & TikTok Videos - VALUE: $997

Craft Eye-Catching 3D Video Ads - VALUE: $997

Generate Unlimited Ai Voice-Overs & Video Songs In Different Languages - VALUE: $997

Create & Sell Unlimited HD Ai Images, Arts & Graphics In Just 1-Click - VALUE: $997

Convert Any Normal Image Into Animated Image - VALUE: $997

Design limitless Ai Logos, drawings, & art - VALUE: $997

CreativeAi 2.0 Mobile Edition - VALUE: $297

Lifetime FREE Updates - VALUE: PRICELESS

24*7 Support & 100% Uptime Guaranteed - VALUE: PRICELESS

Step-By-Step Training Videos - VALUE: $297

Exclusive Bonuses : PRICELESS

Funnel Information:

FE - ($17)

OTO 1: Unlimited ($37)

OTO2: DFY ($197)

OTO3: Autopilot ($27)  OTO4: Templates Gallery ($37)

OTO 5: AiFortune ($97)

OTO6: Traffic Hub ($47)

OTO7: Agency ($47)

OTO8 : Supreme ($37)

OTO9 : Reseller ($97)

OTO10 : Giant Bundle ($197)

Vendor Bonuses:

VIP Bonus1: Ai Puzzles

VIP Bonus2: TalkingHumans AI

VIP Bonus3: VoiceGPT AI

VIP Bonus4: ExplainerVideoz AI

VIP Bonus5: VidMora AI

Final Opinion:

CreativeAI 2.0 is Fully Powered By Microsoft's Latest Multi-Model Ai Technology “Bing Edge & Copilot 1.0” Turns Your Bing Like Voice Commands Into Story Telling Videos, Animation Videos, Cartoon Videos and so much more.

How cool is that? Now you won’t have to pay for expensive platforms like Powtoon, Canva, Synthesia, Audacity, Rytr, Renderforest, LightXEditor or any other site.

>> For more details visit Official website!

Affiliate Disclosure: Affiliate links are used in this content. I will receive a little commission if you purchase any product using one of the links in this post. But there are no additional costs for you.

[ai-landing]

2018/1/27 Feed Summary

The Morning Paper

One Model to Learn Them All: In this post, the author summarize a paper which introduces a MultiModel general deep learning framework which will train 8 tasks at the same time (Image recognition, Image caption generation, Speech recognition, Parsing, German/French to English Translation and their reverse English to German/French translation). MultiModel consists an encoder / decoder architecture which would share a common learning unit. It also consists of a mixture-of-expert layer to dispatch the learning efforts. The article referred in this post shows that training such mixed model doesn't pose any performance degradation problem and sometimes help the task with less data available (parsing). This might imply a much larger scale or cross-domain transfer or multi-tasking learning experiment could be done in the future. This article also points out even though the computational building blocks need to be present for some specific domain (convolution neural network for image and attention / mixture-of-expert for language model), their presence does not interfere the cability of learning other tasks in different domains.

(RW: From the first glimpse of this short summary, the article referred in this post doesn't show any convincing result that cross-domain training does work by showing how much different these domains are. It just iterate similar conclusion from past experiments. Does Image caption take on the role to bridge image and language domain? How about choosing tasks randomly to break the MultiModel in order to know the degree of correlaiton shared among models? Would a sub-model which is trained insufficiently take the whole unified model down? I think those questions might shed some light about cross-domain learning)

KDNuggets

Kogentix Automated Machine Learning Platform: Another MLaaS targets bussiness data (pipeline in the figure below) and features the only one platform running Spark natively.

Data Enginner Introduction Part 1: In the following figure borrowed from The AI Heirarchy of Needs, AirFlow (monitoring tool used by Airbnb) locates at second layer of AI Needs Pyramid

The Democratization of Artificial Intelligence and Deep Learning: Free e-Book give-away. The Democratization of Artificial Intelligence is an idea to make Artificial Intelligence applicaiton is accessible to everyone.

Data Science Job Market Trends: automatino, data enpowerment, mass cleanup, ethnics & influence and blockchain app

O'Reilly Media / AI

tensoflow + mobile device: introduce Tensoflow Lite

using Apache MXNet for anomalty detection: Tutorial for using MXNet. Tranditional methods used to detect anomalty including: Kalm filter, KNN, K-Means and autoencoder with DL. Using IoT time-series data for demonstration. The author will train a encoder-decoder and detect anomalty as any data point outside 3rd standard deviation.

LSTM introduction with Tensorflow: using LSTM to classify Stock Tweets

2018 trends in AI O'Reilly version: And Include

Bayesian methods into Deep Learning and optimize training through neuro-evoluation on gradient-based deep learning.

Low cost hardware to improve computation efficiency.

Fast evolve AI tools including simulators (including reinforcement learning to automate deep learning training such as AutoML), AI develop toolbox handling more complicated / multimodal inputs and finally tools that not for data scientist or AI enginner for use such as friendly UI / UX etc or Intelligent wearables alike

Replace low-skilled tasks with automation

Other ethnics or issues about AI application

Convolution NN for language modeling: tutorial using 1D kernel and Tensorflow > Written with StackEdit.

[brondra]

Ignite 2018

afinita - pri load balanceru - stejny klient chodi na stejny server, možná i jako geo u cache apod? retence=napr u zaloh jak stare odmazavat webjob= WebJob is a feature of Azure App Service that enables you to run a program or script in the same context as a web app, background process, long running cqrs = Command Query Responsibility Segregation - zvláštní api/model na write a read, opak je crud webhook = obrácené api, zavolá clienta pokud se něco změní (dostane eventu)

docker - muze byt vice kontejneru v jedné appce, docker-compose.yml azure má nějaké container registry - tam se nahraje image (napr website) a ten se pak deployne někam např. app service, ale jiné image nemusí container registry - není veřejné narozdíl do dockeru, někdo jiný z teamu může si stáhnout

azure functions 2 - v GA

xamarin - ui je vlastne access k native api, ale v csharp projekty - shared, a special pro ios a android

ML.NET - je to framework pro machine learning

hosting SPA na azure storage static website - teoreticky hodně výhod, cachování, levné hosting

devops - automate everything you can

sponge - learn constantly multi-talented - few thinks amazing, rest good konverzace, teaching, presenting, positivity, control share everything

powershell - future, object based CLI to MS tech powerShell ISE - editor - uz je ve windows, ale ted VS code cmdlets - mini commands, hlavni cast, .net classy [console]::beep() function neco {  params{[int] Seconds} } pipeline - chain processing - output je input pro dalsi atd dir neco | Select-object modules - funkce dohromady, k tomu manifest

web single sign-on = fedaration - nekdo jiny se zaruci ze ja neco muzu a ze jsem to ja federation=trust data jsou na jednom miste SAML - security assertion markup language, jen web, složité API Security - header Authorization Basic (username, heslo zakodovane) OAuth2 - misto toho tokeny (vstupenka) openid connect - id token, access token - všechny platformy, code flow doporučené, jiné implicit flow? fido - fast identity online - abstrakce uh wtf, private public key pair per origin - nejde phising ldap. kerberos - jak to zapada?

httprepl - cli swagger

asm.js - polyfil pro web assembly, web assembly je native kod v browseru - napr .net = blazzor

svet bez hesel windows hello - windows login - face nebo fingerprint ms authenticator  - mobilni apka - matchnu vygenerovany kod FIDO2 - novy security standart - mam u sebe privatni klic, server posle neco (nonce), to zakryptuju privatnim pošlu zpátky - přes veřejný rozšifruje a má potvrzené, pak to samé s tokenem

cosmos db transakce - jen pouzitim stored procedure, single partition default index na vše, jde omezit při vytváření kolekce change feed - log of changes, in order trik jak dostat rychle document count - meta info o kolekci a naparsovat key-value cosmos - vyhody globalni distribuce, eventy, multimodel, pro big data asi

AKS - container - appka, orchestrator - komunikace mezi kontejnery, správa kontejnerů, healthchecks, updates AKS - orchestrator - nejčastější orchestrátor, standart, extensible, self healing představa něco jako cli nebo klient - řeknu jaké kontejnery, počet apod uvnitř se to nějak zařídí - api server, workers atd.. - je to managed kubernetes v azure, customer se stará jen o to co nasadit a kdy - ci/cd aks = azure kubernetes service

dev spaces - share aks cluster for dev (ne ci/cd), realne dependency (bez mock jiných service apod) extension do VS, pracuju lokalne, sync do azure, využíví namespace v aks (každý má svojí verzi service) - normalne frontned.com, já mám ondra.frontend.com a svojí api, pokud se zeptá na url tak se koukne jestli běží lokálně, když ne tak se zeptá team verze respektive je to celé v azure, ale je tam moje verze aplikace

kubernets - master (api server) - jeden Node - vice, VMs, v nem pods - containers, mají unikátní ip, networking - basic pro dev, advanced pro live nody a pody jsou interní věc, ven přes services helm - něco jako worker co se o to stará? jako docker-compose - vic imagu, help je pro aks??, arm template pro aks (skrpit jak postavit prostředí)

event notification patern - objednávky do fronty, ostatní systémy zpracují, co nejvíce info v eventě event sourcing - ukládat změny - inserted, updated, updated, updated, místo get update save, jde také udělat přes event, materialized view - spočítání stavu podle těch event, jdě dělat jednou za čas event grid - event routing

azure function - zip, z něj to spustí (vyhneme se problemu při update file by file), přes proměnné, nyní default ve 2.0 je startup, kde je možné připravit DI a funkce pak přes konstruktor už se dá kombinovat s kontejnery, aks atd durable functions - složitější věci s návaznostmi funkci, long running, local state, code-only, orchestartor function - vola activity function, má vnitrni stav, probudi se dela do prvni aktivity, tu spusti, spi, probudi se checkne jestli dobehla, pokracuje dal logic apps - design workflow, visual azure function runtime jde teoreticky hostovat na aks? v devops pro non .net jazyky potreba instalovat zvlast extension v2 - vice lang, .net core - bezi vsude, binding jako extension key vault - v 2008 ani preview funkce hosting - consuption = shared, app service - dedicated microservice=1 function app, jeden jazyk, jeden scale api management = gateway - na microservices, jde rozdělat na ruzné service azure storage tiery - premium (big data), hot (aplikace, levne transakce, drahy store), cold (backup, levny store, drahe transakce), archive (dlouhodobý archiv) - ruzné ceny/rychlosti, soft delete - po dobu retence je možnost obnovit smazané, data lifecycle management - automaticky presouvat data mezi tiery, konfigurace json

hybric cloud - integrace mezi on premise a cloudem - azure stack - azure které běží on premise někde use case: potřebujeme hodně rychle/jsme offline, vyhovění zákonům, model

místo new HttpClient, raději services.AddHttpCLient(addretry, addcircuitbreaker apod) a pak přes konstruktor, používá factory, používání Polly (retry apod..) - pro get, pro post - davat do queue

people led, technology enpowered

service fabric 3 varianty - standalone (on prem), azure (clustery vm na azure), mesh (serverless), nějaká json konfigurace zase, umí autoscale (trigger a mechanism json konfig), spíš hodně interní věc - běží na tom věci v azure, předchudce aks, jednoduší, proprietární, stateful, autoscale apod..

důležitá věc microservices - vlastní svoje data, nemají sdílenou db principy: async publish/subscr komunikace, healt checks, resilient (retry, circuit breaker), api gateway, orchestrator (scaleout, dev) architektura - pres api gateway na ruzne microservice (i ms mezi sebou) - ocelot orchestrator - kubernetes - dostane cluster VMs a ty si managuje helm = package manager pro kubernetes, dela deploy, helm chart = popis jak deploynout standartni

key valut - central pro všechny secrets, scalable security, aplikace musí mít MSI (nějaké identity - přes to se povolí přístup)

Application Insights - kusto language, azure monitor search in (kolekce) "neco" where neco >= ago(30d) sumarize makelist(eventId) by Computer - vraci Comuter a k tomu list eventId, nebo makeset umí funkce nějak let fce=(){...}; join kind=inner ... bla let promenna - datatable napr hodně data - evaluate autocluster_v2() - uděla grupy cca, podobně evaluate basket(0.01) pin to dashboard, vedle set alert

ai oriented architecture: program logic + ai, trend dostat tam ai nejak

[cristian-randieri]

Tweeted

Google MultiModel: a potentially significant advance for artificial intelligence (AI) - https://t.co/Y3SKSIeBno

— Cristian Randieri (@C_Randieri) June 26, 2017

[ebizupdate]

Microsoft announces new tools and services to help developers modernize existing apps and build more intelligent ones, on every platform, for every platform

SEATTLE, May 11, 2017 /PRNewswire/ -- Satya Nadella, Scott Guthrie and Harry Shum welcomed thousands of developers to Seattle for Build 2017 — Microsoft's annual developer conference. During his opening keynote Nadella announced that Windows had reached 500 million Windows 10 monthly active devices and noted how — together — Windows, Microsoft Office and Microsoft Azure offer developers more than a billion opportunities to connect their innovations with Microsoft customers. Microsoft also announced new Azure data and cloud services to help developers quickly modernize their existing apps, new AI and Azure services that allow any developer to more easily build intelligent apps, with understanding and natural user interaction capabilities, and showcased new data, IoT edge and AI services built for a future with an intelligent cloud and intelligent edge.

"In a world of near infinite compute power and an exponential growth in data, we are focused on empowering every developer to build applications for this new era of intelligent cloud and intelligent edge," said Satya Nadella, CEO, Microsoft.

A vision for more intelligence — from the cloud to the edge

Our world is overloaded with information, every minute, and yet it is in this very information — data — that opportunities and insights abound. To help customers realize these opportunities, Microsoft shared an early peek into innovations it is bringing to bear to help every person and organization achieve more. In support of this vision Microsoft announced the following:

A preview of Azure IoT Edge, technology that extends the intelligence — and other benefits — of cloud computing to edge devices.

Extensions to the Microsoft Graph to combine insights from the world of work with device insights and contextual awareness of the physical world.

Technology that will allow you to search the real world in the same way you search the digital world, helping to keep your data safe and secure while making you more productive.

The cloud for every developer, and tooling to target any platform and device

Microsoft showcased how it is meeting developers where they are, and helping them be more successful, with new Microsoft Azure and Visual Studio services and tools to help modernize existing applications and quickly build intelligent apps for all major platforms:

Introducing Azure Cosmos DB, built from the ground up to power planet-scale cloud services and data-intensive applications — from IoT to AI to mobile — with incredible performance, fault tolerance and support for every type of data, including graph. It is the industry's first globally distributed, multimodel database service to deliver horizontal scale with guaranteed uptime, throughput, consistency and single-digit millisecond latency at the 99th percentile. Developers get incredible flexibility with the only schema-free database service, with support for popular NoSQL APIs, that also offers five well-defined consistency choices while auto-indexing all your data.

New MySQL- and PostgreSQL-managed services that join Azure SQL Database to give developers expanded choice and flexibility on a service platform that delivers high availability and scalability, with minimal downtime, and data retention and recovery. 

An early preview of Microsoft's new database migration services, which will allow Oracle and SQL Server customers to more easily move their data and quickly modernize their apps.

Azure SQL Database improvements:

A new Managed Instance private preview, which offers customers SQL Server instance-level compatibility and makes it even easier for organizations to migrate existing SQL Server apps to Azure SQL Database.

General availability of Threat Detection and preview of Graph support.

General availability of Visual Studio 2017 for Mac, which enables developers to work seamlessly across Windows and Mac environments with full support for mobile, web and cloud workloads, and previews of Docker tools, Azure Functions and Xamarin.IoT support.

Support for containers of nearly every type, on every platform, with the general availability of Windows Server Containers support in Azure Service Fabric, with Visual Studio tooling, and a preview of the ability to use Docker Compose support for Service Fabric to deploy containerized apps to Service Fabric — enabling developers to deliver mission-critical, scalable apps and services.

DocuSign supports a rapidly growing customer base of 300,000 companies and more than 200 million users across 188 countries. The company today announced Microsoft Azure is its preferred cloud for global expansion, starting in Canada. DocuSign uses Azure SQL Database to process enormous volumes of digital transactions.

For more information on these announcements, visit: http://ift.tt/2q3t1Q5

New developer on-ramps to the world's largest productivity platform

With more than 100 million monthly commercial active users, Office 365 is where the world works. Today Microsoft announced plans to better connect developers with Office 365 customers around the globe:

Any developer can now publish for Microsoft Teams, the new chat-based workspace in Office 365. Coming soon, apps in Teams will be more discoverable for end users through a new app experience. Developers can also add new capabilities to Teams apps, including third-party notifications in the activity feed, Compose Extensions and Actionable Messages.

Microsoft also made new Microsoft Graph APIs available to developers, including APIs from SharePoint and Planner. The Microsoft Graph gives developers access to Office 365 data and intelligence and helps connect the dots between people, conversations, projects, schedules, processes and content. These insights help developers build smarter apps, enabling smarter ways to work.

Developers and ISVs who host their production SaaS applications on Microsoft Azure and sign up through the Azure website can now have their apps' data and workflow automatically extended to authorized Office 365 customers through standard connectors for PowerApps and Microsoft Flow. To help ISVs expand their business even further, Microsoft is also providing additional incentives to its sales force when they jointly co-sell eligible SaaS apps and services to enterprise customers. 

AI to augment the capabilities of every developer, organization, platform and person

Microsoft also highlighted its vision to amplify human ingenuity with intelligent technology, bringing AI to every developer through the unique combination of the Microsoft cloud and AI. New cognitive services, platform innovations in the Microsoft Bot Framework, advances in deep learning tools, continued infusion of AI into the company's products and services, and intelligent insights offered through the Microsoft Graph unlock this opportunity for developers and new growth scenarios for businesses. New announcements included the following:

The company added new services to the industry's broadest offering of cognitive services and now 29 services for developers, with unique customization options. That enables developers to infuse off-the-shelf or custom intelligence capabilities such as vision, speech, language, knowledge and search into their app and bot experiences in any scenario. New services include Bing Custom Search, Custom Vision Service, Custom Decision Service and Video Indexer. A new PowerPoint add-in called Presentation Translator, which leverages Microsoft's Translation APIs, was featured, allowing real-time translation to multiple languages during any presentation. The new Cognitive Services Labs were also launched, enabling developers to experiment with new services, such as a Gesture API, still in the early stages of development.

Using the new adaptive cards supported by the Microsoft Bot Framework, developers can write cards once that look great across multiple apps and platforms. Using the Bot Framework, developers can also now publish to new channels including Bing, Cortana and Skype for Business, and implement Microsoft's payment request API for fast and easy checkout in their bots.

Azure Batch AI Training is a new Azure offering, available in private preview only, that will allow developers and data scientists to configure an environment with parameters and run their models against multiple CPUs, multiple GPUs and eventually field-programmable gate arrays.

In addition to Harman Kardon's Invoke intelligent speaker with Cortana, partnerships were also signed with HP on devices and Intel on reference platforms to deliver Cortana-enabled devices.

The Cortana Skills Kit is now in public preview. Developers can build skills for Cortana by creating a bot and publishing it to the new Cortana channel of the Bot Framework. This is available across Windows 10, Android, iOS and the new Cortana-powered Harman Kardon Invoke speaker. The Cortana Skills kit is currently available in the U.S. only.

A demonstration was provided on how multiple Microsoft products and services, including Dynamics 365, Office 365, Microsoft Teams, Cortana Skills, Microsoft Graph and Sentiment Analysis, will be integrated into Tact, the sales experience platform that turns any connected device into a AI-powered virtual sales assistant, later this year.

For more information on these announcements, visit: http://ift.tt/2q3i68Y

Microsoft (Nasdaq "MSFT" @microsoft) is the leading platform and productivity company for the mobile-first, cloud-first world, and its mission is to empower every person and every organization on the planet to achieve more.

Read this news on PR Newswire Asia website: Microsoft announces new tools and services to help developers modernize existing apps and build more intelligent ones, on every platform, for every platform

[ai-landing]

2018/1/15 feed summary:

Google research: research highlight for 2017: Overall research direction looks like moving towards building larger and more complicated network architectures. Some explorations of stochastic model is also within the plan.

There are two parts in this 2017 review: Part 1 talks more about research part 2 talks more about applications

AutoML: focusing on neural network architecture learning (mainly convolution neural networks and ImageNet task)

Speech understanding and generation:

Listen-Attend-Spell end-to-end model (recurrent, auto-encoder/seq2seq)

text-to-speech generation: developed a Tacotron 2 system (much larger neural networks including at least 3 neural networks one is encoding neural network: character embedding, convolution nets and LSTM recurrent net, decoding neural network: pre-net, LSTM recurrent net, linear projection and convolution layers, finally a WaveNet Model which will generate wave form samples)

New and understanding machine learning algorithms:

architecture innovation:

capsules neural networks: for noisy visual task

sparsely gated mixtures of experts: for much larger networks system

hyper-networks: a deep convolutional networks and used for weight generating model

attention-based mechanism: for recurrent and convolution nets

stochastic model incorporation

multi-modal models: for better multi-tasking learning

back-propagation through discrete variables: overcoming the difficulty to handle categorical variables in neural networks (with Gumbel-softmax)

learning/optimizer algorithm investigation:

symbolic and non-symbolic optimization programming language models: for reinforcement learning improvement

local minima found by optimization method in deep learning failed to find good generalization (better testing performance)

analyzing random matrices for initial weight assignments

comparing GAN approaches: large scale comparison of GAN implementation approaches

reinforcement learning improvement

explainable AI

Computational systems improvements:

using machine learning on indexed structures which outperforms B-Tree, hash tables and Bloom filters

apply reinforcement learning to map computational graph onto physical devices placement

Others:

Privacy and security: implement adversarial examples to break machine learning system

a bunch of open datasets

tensorflow development: Eager execution and XLA (another compiler), TF-GAN, deeplearning.js

hardware:

TPUs: already apply to Google search query, Google translation, AlphaGo and Google Photos

application:

health care (medical images): tumor identification on CT image and other eyes care project

robotics: computer-based simulations / time-contrasive networks (observing child to learn)

quantum physics: using neural networks to find new particles

creative arts: piano assistant and draw

UX: PAIR project