Photoshop’s new generative AI feature lets you ‘uncrop’ images

I attended a Masterclass titled, “The AI Factor-How AI and Generative AI Is Transforming Our World” by Asha Saxena, Founder and CEO at Women Leaders In Data & AI. Asha presented on the impact AI and generative AI have had on several different industries. Access Partnership and the Fair Tech genrative ai Institute are closely tracking developments on generative AI and the AI landscape in Southeast Asia region and across the world. If you would like to request an expert briefing on this issue or request more information on AI-related issues, please contact Li Xing at or Lim May-Ann at

Although based on the same concepts, there is a straightforward distinction between AI’s traditional machine learning techniques that we’ve been putting to work for years—in particular deep learning—and generative AI. As its name suggests, generative AI is a type of artificial intelligence that can create new content and ideas. Like all AI, generative AI is powered by machine learning models—very large ML models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). Development is now accelerating when new powerful generative AI models are launched and become widespread, for example the well-known chatbots that can create new content (e.g. text, images, sound, video and code) based on user instructions. The technologies are found both in new external services and move into systems that are already used in our daily media production, for example image processing tools.

How to create marketing images from AI

The imagery created by this technology is so realistic it’s fooled millions of people around the world. Google’s SynthID tool was launched at the Cloud Next Conference, where Google showcases new features to its business customers. It seems there are a lot of companies that are putting an effort into the identification of AI-generated content as the development of AI tools is improving, with image generators expected to get even better. Tools like SynthID will come in handy in the future to help curb misinformation. This makes generative AI applications vulnerable to the problem of hallucination – errors in their outputs such as unjustified factual claims or visual bugs in generated images.

Generative deep learning and image anomaly detection are most known and most used in manufacturing production lines. With the use of image anomaly detection, generative deep learning can quickly detect if a product, such as an apple, is “pass” or “fail” based on its appearance. Indeed, we are already starting to see the benefits of Generative AI for citizens and consumers – from improving drug development to making education more engaging.

Google expands its Generative AI search to India and Japan; here’s how you can opt in

Raghav Bali is an author of multiple well received books and a Senior Data Scientist at one of the world’s largest healthcare organizations. His work involves research and development of enterprise-level solutions based on Machine Learning, Deep Learning, and Natural Language Processing for Healthcare and Insurance-related use cases. Raghav has a master’s degree (gold medalist) from the International Institute of Information Technology, Bangalore. With a valuation of over $20 billion, OpenAI has paved the way for an accessible, mainstream implementation of artificial intelligence with a variety of use cases.

• Also, with such a high volume of content now being generated, questions have arisen about potential privacy violations, copyright infringements, and other ethical and legal implications.
• Couple that with the massive proliferation of data, the availability of highly scalable compute capacity, and the advancement of ML technologies over time, and the focus on generative AI is finally taking shape.
• It is not yet available for commercial use, and currently supports English-only text prompts.

If you’re ever stuck in the same pickle, might we suggest the helping hand of generative AI?

Frequently Asked Questions

Yakov Livshits

According to Deloitte, 87% of companies say customers expect omnichannel personalization but 39% struggle to aggregate siloed data and content from multiple systems. With the vast amounts of data collected by contact centres that provide insights into what customers want or need, it’s important to treat this treasured tool for enhanced personalization with the utmost sensitivity and security. Navigating the intricacies of the new technology of generative AI requires a partner with a sophisticated artificial intelligence framework. Linking with an experienced firm that has a proven track record of working with artificial intelligence gives your brand a head start on the competition.

One surprising example was a story about ChatGPT being able to pass a final MBA exam at Wharton, raising questions about how useful essay-based courses will be at testing students and how the education sector can adapt. Wavemaker today unveiled a collaboration with artificial intelligence (AI) artist, Kris Kashtanova, which explored using Generative AI to create new concepts, styles and aesthetics for its visual brand identity. For example, when you see a piece of custom furniture that claims to be handmade, you probably assume that it wasn’t literally made by hand – that all sorts of modern tools were nonetheless used to cut, shape and attach each piece. Similarly, if an architect uses computer software to help draw up building plans, you still probably think of the product as legitimate and original. This is because there’s a general understanding that those tools are part of what it takes to make those products.

Check out related products.

You’ll get an exclusive look at some of our newest technologies, including award-winning research, OpenUSD developments, and the latest AI-powered solutions for content creation. This raises serious concerns about genrative ai the potential misuse of deepfake technology, from political propaganda to personal vendettas. Deepfakes have already been used to create fake pornographic videos, causing harm to the individuals involved.

AI can also guide agents in real time during customer interactions to coach them on what to say to drive more personalized and seamless interactions. Generative AI can provide tailored recommendations and solutions after analyzing customer data to improve personalization. Consumers demand digital-first personalization and artificial intelligence delivers an elevated level of coordination and sophistication to better meet their needs. Partnering with a knowledgeable technology provider with time-tested security guardrails to protect consumer information offers peace of mind in an era where cybercriminals have become savvier. In a competitive business environment, starting from zero with a novice in artificial intelligence will unnecessarily set you back.

As it develops, we’re excited to see how GenAI might be applied to improve natural language interactions in ITSM and CSM, as well as enhance the behind-the-scenes automation and workflow functionality. We’ll explore these in detail in another blog, but the immediate use case is to use GenAI to propel new levels of customer support, service delivery and operational efficiency. As a ServiceNow partner, we’d be remiss not to mention the potential impact GenAI will have on the Now Platform. It wasn’t until the introduction of natural language interfaces like ChatGPT that the use of GenAI really became accessible to everyone. With the rush to adopt GenAI into new services and business offerings, there’s no sign of it slowing down either. Now, hardly a day goes by without a news article announcing an AI revolution in a new sector, organisation or industry.

Now, with generative AI, everyone can use AI without the manual data prep. The large models that power generative AI applications—those foundation models—are built using a neural network architecture called “Transformer.” It arrived in AI circles around 2017, and it cuts down development process significantly. The user uses a text prompt to generate a desired image and selects a style prompt, and their image is generated within seconds. The app also allows users to share their generated art with members of the WOMBO community. A preeminent global visual content creator and marketplace, Getty Images is working in collaboration with NVIDIA to provide custom developed image and video generation models on Picasso, trained on fully licensed data.