Innovative AI - Artificial Intelligence (AI) and its impact on businesses.
Update on Google's recent AI developments
This week in Innovative AI
Innovative AI Shorts:
A Splash of Color Innovation: AI-Generated Red and Green Gradient Themes Reshape Web UI Design
ChatGPT's New Update: Putting Users in Control of AI Conversations
Emotional AI: The Next Frontier in Personalized Technology Experiences
Executives’ Highlight: Update on Google's recent AI developments
Deep Tech Center insights: Presenting entAIngine - a platform to build your own enterprise-grade AI applications
Overview: Center for Deep Tech Innovation Events
Prompts for your Organization: Midjourney: narrative prompting
Tools to try out: Rapidely
Innovative AI Shorts
A Splash of Color Innovation: AI-Generated Red and Green Gradient Themes Reshape Web UI Design
Web UI design is being revolutionized by the power of AI-generated red and green gradient themes. This innovative approach, showcased in a recent article on UXdesign.cc, highlights how AI algorithms can analyze millions of color combinations to create visually appealing designs. The use of red and green gradients offers an aesthetically pleasing color palette, enhancing the user experience and making websites more engaging. This pioneering technique has the potential to simplify the design process and provide designers with fresh and captivating options for their projects. With AI-generated themes, web UI design is entering a new era of creativity and accessibility.
ChatGPT's New Update: Putting Users in Control of AI Conversations
OpenAI has recently introduced a significant update to its AI language model, ChatGPT, allowing users to easily instruct the model during conversations. This new feature allows users to provide conversation context by simply labeling the messages as "user" or "assistant." By doing so, users can seamlessly direct the model's responses and specify their desired behavior. OpenAI considers this to be an important milestone since users now have more control over ChatGPT, allowing for a more refined and tailored conversational experience. This development showcases the continuous advancements in the field of AI, empowering individuals to interact more effectively with language models.
Emotional AI: The Next Frontier in Personalized Technology Experiences
In a world increasingly driven by technology and artificial intelligence, the concept of emotional AI is revolutionizing human-computer interactions. Thanks to advancements in machine learning and natural language processing, AI systems are now capable of understanding and responding to human emotions, giving rise to a new era of empathetic machines. Forbes recently highlighted the potential impact of emotional AI, underscoring its ability to enhance customer service, healthcare, and even education. By deciphering human emotions through facial expressions, voice intonations, and other non-verbal cues, these advanced AI systems can create more personalized and empathetic experiences, fostering better communication and connection in the digital age. As emotional AI continues to evolve, it is poised to transform how we interact with technology, making it an increasingly integral part of our daily lives.
Update on Google's recent AI developments
The race for the top spots in AI is in full swing, and the field of competitors is becoming increasingly diversified. It is therefore time to take a closer look at one of the main players in this field: Google.
In previous issues, we have already taken a closer look at further key players such as OpenAI, Meta, Amazon, Nvidia, Adobe, etc.- also Google - Have a look at our previous issues in the list at the end of the newsletter
Since the resurgence of interest in AI (formally ML, etc.), Google has been at the forefront of AI development. Based on a multifaceted approach, Google has been focusing on integrating AI into its core products, exploring new frontiers in machine learning, and setting industry standards - comparable to Microsoft’s approach.
Google's AI journey started with the integration of machine learning algorithms into its search engine, aiming to improve the relevance and precision of search results. This initial step laid the foundation for a comprehensive AI strategy, spanning a range of technological advancements including natural language processing, computer vision, deep learning, and neural networks. Google's AI research has thereby led to groundbreaking developments, such as TensorFlow, an open-source machine learning library, and DeepMind, a leader in AI for games and simulations.
Google's AI Products and Services
Google's AI products and services span a wide range, each of which is tailored to integrate AI as an everyday technology. Recent key developments around these products and services are:
Generative AI in Chrome
Google Search and Assistant: At the heart of Google's AI products is its search engine, which is continually being improved to provide more relevant and contextual results. to enhance the user experience google is now also integrating AI into Google Chrome. The following features are being launched:
Tab Organizer: This feature leverages AI to automatically suggest and create tab groups based on the user's open tabs. It addresses the common challenge of managing multiple tabs, which can often lead to clutter and decreased productivity. The Tab Organizer intelligently groups related tabs, simplifying navigation and task management within the browser.
The AI-driven tab organization is designed to be intuitive and user-friendly. Users can activate this feature by right-clicking on a tab and selecting “Organize Similar Tabs” or using the drop-down arrow next to the tabs. Chrome also suggests names and emojis for these groups, adding a layer of personalization and ease of identification.
Availability and Accessibility: Initially, these generative AI features are being rolled out in the U.S. for Chrome on Macs and Windows PCs. Users can access these features by signing into Chrome, selecting “Settings” from the menu, and navigating to the “Experimental AI” page. However, it's important to note that these features are in the experimental phase and are currently not available for enterprise and educational accounts.
Partnership with Samsung
Integration of Gemini AI Models: The partnership introduces Gemini Pro, Google's advanced AI model, into Samsung's Galaxy S24 series. This integration enhances the functionality of Samsung's native apps like Notes, Voice Recorder, and Keyboard, offering improved features such as enhanced summarization capabilities.
Imagen 2 - Text-to-Image Generator: A notable feature of this collaboration is the inclusion of Imagen 2, Google's innovative text-to-image generator. Users can access Imagen 2 through the "Generative Edit" function in the Galaxy S24's Gallery app, allowing for creative and practical photo editing capabilities.
Gemini Nano for On-Device Processing: Addressing privacy concerns, the partnership also introduces Gemini Nano, an efficient AI model for tasks processed directly on the device. This model is particularly used in Google Messages to ensure that sensitive data does not leave the user's smartphone.
Future Developments: Samsung will be one of the first to test Gemini Ultra, Google's largest model designed for highly complex tasks. This model is expected to be available more broadly to developers and businesses later in the year, indicating ongoing development and enhancement of AI capabilities.
Google Lumiere
Google Lumiere represents a significant advancement in the realm of AI video generation. Developed by Google Research, Lumiere is an AI-powered video generator that allows users to create videos from simple prompts, marking a leap from generative AI in image creation to the more complex domain of video creation (also image to video).
To use Lumiere: Users (will) be able to input their desired content, and the AI generates a corresponding video that can be edited then - animating static images or animating specific areas within a video. Unfortunately, Lumiere is currently being tested under laboratory conditions (release planned in the near future) but the first examples of how it will look like are quite promissing.
Have a look:
Some further interesting developments:
Cloud AI and TensorFlow: Google Cloud AI offers advanced machine learning services to businesses, while TensorFlow allows developers to create their own AI-powered applications.
Consumer Hardware: Devices like Pixel phones and Google Home speakers are embedded with AI to enhance user experience through features like camera enhancements and voice recognition.
AI for Social Good: Google's AI for Social Good program applies AI to address societal challenges, such as environmental conservation and healthcare.
Google Chrome in Cars: Google's integration of Chrome into cars with built-in Android, starting with Volvo and Polestar models, marks a significant step in bringing AI to automotive experiences. This includes features for trip planning, weather tracking, and in-car entertainment.
Competitors in the AI Landscape
While Google is doing quite well in the race on the AI market, they are still facing several key competitors running at a more or less equal pace, each of which has its approach to AI implementation and offerings. Some of the main competitors are:
Microsoft: Besides partnering with OPenAI, Microsoft has recently integrated AI into its Azure cloud platform and products like Office 365 and Bing, focusing on enterprise solutions and AI ethics.
Amazon: Known for Alexa and AWS's machine learning services, blending AI into its e-commerce platform and cloud services.
Apple: Focusing on integrating AI into its hardware, with Siri and AI-powered features in iPhones and iPads.
Facebook (Meta): Invests in AI for enhancing social media experiences, advertising, and developing virtual reality technologies. And of course, having launched llama and llama 2 (open-source large-language model) (together with Microsoft).
All of these competitors, as well as the underdog runners still have a chance to make the first places in the race, contributing to a dynamic AI landscape, thereby pushing the boundaries of AI applications in various sectors.
We believe that at this point in the race to dominate the AI market, we will see an increasing number of collaborations, also between competitors. AI will increasingly be integrated into a variety of products in our daily lives. Before that, however, there are still some hurdles to overcome in terms of data protection and regulation - a topic we covered in our latest issue of Innovative AI - find it here.
We at the Center for Deep Tech Innovation expect regulation to be finalized by the second/third quarter of this year so that many products will come to market in 2024 and 2025.
Deep Tech Center insights:
In this category, we aim to keep you informed about both existing and recently launched products.
In addition to our consulting services, the Center for Deep Tech Innovation collaborates with entAIngine, a platform designed for the rapid and compliant generation of enterprise-grade AI applications.
Using entAIngine, everyone can develop AI applications for their specific use case. E.g. an application for:
scanning, summarizing, and categorizing emails
executing tailored SWOT and matching analysis of Startups
translating and simplifying letters for customers using OCR
writing reportings following predefined guidelines
many more…
Furthermore, we also build custom applications for you and we are developing a set of very useful pre-built applications.
So stay tuned for more details in the upcoming edition of Innovative AI!
If you are interested in delving deeper into entAIngine to find out how to develop your own compliant enterprise-grade AI application, reach out to us via the entAIngine website or directly here.
We would be happy to discuss the possibilities together with you.
Overview: Center for Deep Tech Innovation Events
As some of our readers might know, we offer a series of webinars on the topic of AI (and other technologies in the near future).
Below you find a list of upcoming webinars:
February 2024
Wednesday, February 07, 2024, 4:00 p.m. (CET) Prompt Engineering for Business Transformation: A Workshop.
Register now here
Wednesday, February 21, 2024, 4:00 p.m. (CET) ChatGPT Beyond the hype - Embeddings, RAGs & on-premise LLMs for Innovators
Register now here
March 2024
Wednesday, March 06, 2024, 4:00 p.m. (CET) Prompt Engineering for Business Transformation: A Workshop.
Register now here
April 2024
Wednesday, April 10, 2024, 4:00 p.m. (CET) Prompt Engineering for Business Transformation: A Workshop.
Register now here
For more content, feel free to visit our YouTube channel and LinkedIn
Prompts for your Organization
Midjourney narrative prompting.
For everyone who does not want to write complex prompts on Midjourney, try narrative prompting. Basically, describe the picture and see what comes out. Despite real prompting still provides you with better outcomes, narrative prompting is working quite well by now. Have a look:
”/imagine an elephant walking through the jungle during the golden hour, surrounded by big trees. Place the elephant in the middle of the photo. The image should be a superphotorealistic shot with a Canon R5 in 8k”
Tools to try out: Rapidely
Rapidely is an AI-powered tool to streamline social media content creation processes by offering features like an AI hashtag generator, a strategy tool for crafting comprehensive content strategies, and a monthly calendar generator for efficient planning. Additional features include a carousel maker for engaging posts, a system for generating captivating content tailored to brand voice, and access to trending audios for Reels. Cost-wise, Rapidely offers different pricing plans, catering to individual creators, small businesses, and larger enterprises or agencies.Eventually, we come to the end of this newsletter. Stay tuned for the upcoming editions, where we will keep informing you about the latest developments and applications of AI for business and beyond.
You missed out on some of our latest issues or just recently subscribed to Innovative AI?
We have got you covered. Find here an Overview of our latest issues:
29.- AI and the Ballot Box: How Artificial Intelligence Can Influence Future Elections
28.- The future is now - what to expect from AI in 2024
27.- The New Era of AI Regulation: Exploring the EU's AI Act and Biden's Executive Order
26.- The Road to Artificial General Intelligence (AGI)
25.- OpenAI: Pioneering the Future of Artificial Intelligence
24.- The EU AI Act and Beyond: Overview of the Landscape of AI Regulation
23.- EY.ai Workforce: Revolutionizing HR with Artificial Intelligence
22.- From ChatGPT to Global Collaborations: OpenAI's AI Revolution
21.- AIOps: The Digital Revolution in IT Operations
20.- Amazon's AI Blueprint: Alexa at the Forefront of Gen AI Innovation
19.- AI in Healthcare: Transforming Medicine for Better Patient Outcomes
18.- Game Development in the Age of AI: A New Frontier
17.- AI in Agriculture: A Revolution in the Making
16.- AI and IoT: Pioneering the Next Digital Frontier
15.- Google's AI Evolution: From Search Algorithms to Technological Mastery -A Chronicle of Google's AI Endeavors
14.- Energizing Intelligence: The Intersection of AI, Energy Usage and Sustainability
13.- Exploring the Synergy of AI and Blockchain for smart contract auditing
12.- The AI Landscape: Microsoft's Pioneering Role and Future Prospects
11.- Shaping the Legal Landscape: The Evolving Role of AI in the Legal Sector
10.- Venture Capital in the Age of AI: A New Investment Paradigm
9.- AI and the Value of Human Skills: A Collaborative Future
8.- Unlocking the Power of AI: Advancing Climate Solutions through Technology
7.- META's Paradigm Shift: Embracing Open-Source AI for Competitive Advantage
6.- Transforming the Marketing and Design Landscape: Exploring the Power of Adobe Firefly
5.- META's Paradigm Shift: Embracing Open-Source AI for Competitive Advantage
4.- The Role of Generative AI in Marketing: Unlocking Creativity's Potential
3.- NVIDIA: Empowering the AI Revolution and Surpassing $1 Trillion Valuation
2.- AI and the Future of Work: What it Means for Leaders
1.- Corporate Managers are finding their way into AI