The main topic is the use of generative AI image models and AI-powered creativity tools.
Key points:
1. The images created using generative AI models are for entertainment and curiosity.
2. The images highlight the biases and stereotypes within AI models and should not be seen as accurate depictions of the human experience.
3. The post promotes AI-powered infinity quizzes and encourages readers to become Community Contributors for BuzzFeed.
### Summary
Utah Tech University is offering a free weekly community course on generative artificial intelligence (AI), providing participants with the skills and knowledge necessary to create using generative AI.
### Facts
- 👥 The course is open to everyone, including those new to AI or coding.
- 📆 The course will be held every Wednesday from August 30 to December 6, 2023, from noon to 12:45 p.m.
- 🏫 The course will take place in Room 105 of Utah Tech's Science, Engineering & Technology building.
- 💡 The course will focus on generative AI, large language models, and prompt engineering.
- 🌐 Generative AI can be used to create art, music, videos, and more.
- 👨🏫 Expert instructors will guide participants through hands-on exercises to help them kickstart their own generative creations.
- 🔌 The course aligns with Utah Tech University's polytechnic approach to education, emphasizing hands-on learning and career preparation.
- 🔒 Seating for the course is limited.
Source: St. George News, SaintGeorgeUtah.com LLC
### Summary
Utah Tech University will be offering free weekly community courses on generative artificial intelligence, discussing the opportunities AI provides and teaching prompt engineering to unlock its power.
### Facts
- 📅 The class will start on Aug. 30 and run every Wednesday until Dec. 6.
- 🧑🏫 The instructor, Konnor Young, believes generative AI can empower individuals in their education.
- 💡 Generative AI creates original content by learning patterns from data, unlocking new possibilities in art, music, and videos.
- 🔬 The class will focus on open-forum discussions about generative AI, large language models, and prompt engineering.
- 🤝 Participants will have hands-on exercises to develop skills and knowledge for generative creations.
- 🎨🚀 The technology can be harnessed in various disciplines, from art and humanities to science, technology, and engineering.
Researchers at the University of Bonn's Autonomous Intelligent Systems research group have developed a deep reinforcement learning pipeline to enhance a robotic arm's ability to manipulate objects in ways that better support practical use, potentially contributing to the development of more effective robotic assistants.
Over half of participants using AI at work experienced a 30% increase in productivity, and there are beginner-friendly ways to integrate generative AI into existing tools such as GrammarlyGo, Slack apps like DailyBot and Felix, and Canva's AI-powered design tools.
Companies are adopting Generative AI technologies, such as Copilots, Assistants, and Chatbots, but many HR and IT professionals are still figuring out how these technologies work and how to implement them effectively. Despite the excitement and potential, the market for Gen AI is still young and vendors are still developing solutions.
Some companies are hiring AI prompt engineers to help them optimize generative AI technology, but as the tech improves at understanding user prompts, these skills may become less necessary.
A school district in Georgia has implemented an AI-driven curriculum that incorporates artificial intelligence into classrooms from kindergarten to high school, aiming to prepare students for the challenges and opportunities of the technology, with students already showing enthusiasm and proficiency in using AI tools.
Generative AI, a technology with the potential to significantly boost productivity and add trillions of dollars to the global economy, is still in the early stages of adoption and widespread use at many companies is still years away due to concerns about data security, accuracy, and economic implications.
General Motors has partnered with Google Cloud to incorporate conversational artificial intelligence into GM vehicles and explore future applications for generative AI.
Generative AI tools are revolutionizing the creator economy by speeding up work, automating routine tasks, enabling efficient research, facilitating language translation, and teaching creators new skills.
Startup Hiber has integrated Google's generative AI technology into its Hiber3D development platform, allowing creators to use natural language prompts to generate in-game content and build expansive online worlds, simplifying the creative process.
Generative AI tools like Bing Chat, Quizlet, ChatPDF, Duolingo, and Socratic have the potential to greatly enhance student learning by providing assistance with tasks such as research, studying, reading PDFs, learning new languages, and answering questions in a conversational and educational manner.
The rise of generative AI is accelerating the adoption of artificial intelligence in enterprises, prompting CXOs to consider building systems of intelligence that complement existing systems of record and engagement. These systems leverage data, analytics, and AI technologies to generate insights, make informed decisions, and drive intelligent actions within organizations, ultimately improving operational efficiency, enhancing customer experiences, and driving innovation.
Generative AI can help small businesses manage their social media presence, personalize customer service, streamline content creation, identify growth opportunities, optimize scheduling and operations, enhance decision-making, revolutionize inventory management, transform supply chain management, refine employee recruitment, accelerate design processes, strengthen data security, and introduce predictive maintenance systems, ultimately leading to increased productivity, cost savings, and overall growth.
Generative artificial intelligence, such as ChatGPT, is increasingly being used by students and professors in education, with some finding it helpful for tasks like outlining papers, while others are concerned about the potential for cheating and the quality of AI-generated responses.
As generative AI continues to gain attention and interest, business leaders must also focus on other areas of artificial intelligence, machine learning, and automation to effectively lead and adapt to new challenges and opportunities.
Generative AI has the potential to understand and learn the language of nature, enabling scientific advancements such as predicting dangerous virus variants and extreme weather events, according to Anima Anandkumar, Bren Professor at Caltech and senior director of AI research at NVIDIA.
Associate professor of computer science at NY University, Lerrel Pinto, is using reinforcement learning to teach robots how to perform household tasks by failing and trying different strategies, as detailed in his paper "Teach a Robot to FISH."
Generative AI is a form of artificial intelligence that can create various forms of content, such as images, text, music, and virtual worlds, by learning patterns and rules from existing data, and its emergence raises ethical questions regarding authenticity, intellectual property, and job displacement.
Toyota has developed a new learning approach called Diffusion Policy, in partnership with Columbia Engineering and MIT, which enables robotic AIs to learn complex physical tasks by observing human demonstrations, allowing them to quickly acquire new skills and perform a wide variety of tasks with flexibility and adaptability.
Artificial intelligence (AI) chipmaker Nvidia has seen significant growth this year, but investors interested in the AI trend may also want to consider Tesla and Adobe as promising choices, with Tesla focusing on machine learning and self-driving cars, while Adobe's business model aligns well with generative AI.
The skill of prompt engineering, which involves refining and inputting text commands for generative AI programs, is highly valued by companies and can lead to high-paying job opportunities.
Big Tech companies like Google, Amazon, and Microsoft are pushing generative AI assistants for their products and services, but it remains to be seen if consumers will actually use and adopt these tools, as previous intelligent assistants have not gained widespread adoption or usefulness. The companies are selling the idea that generative AI is amazing and will greatly improve our lives, but there are still concerns about trust, reliability, and real-world applications of these assistants.
Microsoft and Google have introduced generative AI tools for the workplace, showing that the technology is most useful in enterprise first before broader consumer adoption, with features such as text generators, meeting summarizers, and email assistants.
Google has launched training resources for generative AI, offering both introductory and advanced learning paths that include theory, practical experience, and skill badges, with continued updates to keep up with the latest developments in the field.
Generative AI is an emerging technology that is gaining attention and investment, with the potential to impact nonroutine analytical work and creative tasks in the workplace, though there is still much debate and experimentation taking place in this field.
Generative AI, such as ChatGPT, is evolving to incorporate multi-modality, fusing text, images, sounds, and more to create richer and more capable programs that can collaborate with teams and contribute to continuous learning and robotics, prompting an arms race among tech giants like Microsoft and Google.
China-based tech giant Alibaba has unveiled its generative AI tools, including the Tongyi Qianwen chatbot, to enable businesses to develop their own AI solutions, and has open-sourced many of its models, positioning itself as a major player in the generative AI race.
Walmart is introducing generative AI features, including a shopping assistant, AI-powered search, and an interior design tool, to enhance the customer shopping experience and offer personalized recommendations.
Generative AI has the potential to transform various industries by revolutionizing enterprise knowledge sharing, simplifying finance operations, assisting small businesses, enhancing retail experiences, and improving travel planning.
A research agenda is needed to develop and use generative AI in Africa, taking into account the risks and benefits specific to the African context in order to address global inequities.
Artificial intelligence is increasingly being incorporated into classrooms, with teachers developing lesson plans and students becoming knowledgeable about AI, chatbots, and virtual assistants; however, it is important for parents to supervise and remind their children that they are interacting with a machine, not a human.
Adobe showcased its plans for generative AI technology in Photoshop, Illustrator, and other design apps at its annual MAX conference, including improvements to its AI image generation model, the introduction of a generative AI model for creating vector graphics, and the launch of a new AI model for generating templates for social media posts and marketing assets.
Generative artificial intelligence (genAI) has the potential to revolutionize the field of economics by assisting with research, teaching, and forecasting, but its impact on employment in the field is expected to be limited at first, though eventual job losses could occur. GenAI tools such as OpenAI's ChatGPT and Google's PaLM offer valuable support to economists in tasks like data analysis, coding, and writing, but the interpretation and contextualization of results still require the human touch.
Scientists at Northwestern University have used AI technology to design a walking robot in a matter of seconds, creating a strange, organic-looking creature that showcases the AI's capabilities for "instant evolution."
A company called Fantasy uses AI-powered synthetic humans to generate new ideas, test product concepts, and gather insights from focus groups, demonstrating their potential value to businesses.
Generative AI start-ups, such as OpenAI, Anthropic, and Builder.ai, are attracting investments from tech giants like Microsoft, Amazon, and Alphabet, with the potential to drive significant economic growth and revolutionize industries.
Generative AI, which allows users to experience cutting-edge technologies firsthand, is expected to play a centralized role in our lives, revolutionizing the fields of computational photography, robotics, and automation.
Gen AI, or generative artificial intelligence, is rapidly transforming the manufacturing industry through automation and predictive maintenance, potentially threatening both white-collar and blue-collar jobs.
Walmart is using generative AI to automate office tasks, personalize the shopping experience for customers, and improve search capabilities on its website and app.
A preparatory school in the UK has named an AI robot as its "principal headteacher" to assist the school's headmaster with a range of tasks and to provide support in decision-making.
Nvidia is embracing generative AI in its robotics offerings, aiming to accelerate its adoption among roboticists and provide productivity improvements through features such as composing emails and generating stunning images.
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