Regulators in the US and Europe have laid out the "shared principles" they plan to adhere to in order to "protect competition and consumers" when it comes to artificial intelligence. "Guided by our respective laws, we will work to ensure effective competition and the fair and honest treatment of consumers and businesses," the Department of Justice, Federal Trade Commission, European Commission and the UK's Competition and Markets Authority (CMA) said. "Technological inflection points can introduce new means of competing, catalyzing opportunity, innovation and growth," the agencies said in a joint statement. "Accordingly, we must work to ensure the public reaps the full benefits of these moments." They based these factors on their experience working in related markets.

During the Cerebral Valley AI Conference in San Francisco on Thursday, Emad Mostaque, the CEO and founder of Stability AI, revealed that he plans to take the open-source platform public within the next few years. Stability AI is a leader in generative artificial intelligence and an Open AI rival. Mostaque dismissed the idea of Stability AI being acquired. He explained that going public requires having amazing revenue, margins, and distribution. The company is only 17 months old, and the business model of Stability AI's open-source platform will be seen more clearly in the next year.

While the rapid rise of ChatGPT has come with its fair share of controversy, the potential of the new AI tool to transform the way businesses interact with customers is considerable. Following Microsoft's multi-million-pound investment into chatbot developer OpenAI and Google's subsequent launch of ChatGPT competitor Bard, further advancement in artificial intelligence is inevitable. Although the opportunities seem endless, businesses and consumers should proceed with caution and manage their expectations when it comes to providing and receiving customer service via ChatGPT. Although a significant disruptor in the AI space, we should not assume that future brand interactions will be facilitated exclusively by ChatGPT. Rather than a magic bullet solution, the sophisticated, human-like nature of ChatGPT has awoken sceptics to the possibilities of chatbot technology, encouraging those slow on the uptake to implement conversational AI tools.

When we think about artificial intelligence (AI), humans are rarely what springs to mind. And understandably so, as AI is all about machine intelligence and automation. AI has become an essential business tool, so we often commend the pioneering work of AI companies to support businesses as they digitally evolve. To shed a light on the importance of people in the creation of intelligent machines, we take a look at the best-in-class executives in the AI field who continue to push the technology – and its boundaries – forward. With a passion for AI, Andrej Karpathy is interested in training deep neural nets on large datasets.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Enterprises continued to accelerate the adoption of AI and machine learning to solve product and business challenges and improve revenues in 2021. Meanwhile, AI startups have experienced significant growth, roping in major investments to improve their product offerings and meet the growing demand for AI solutions across sectors. In fact, data from CB Insights Research shows that while the number of equity funding deals in the global AI space this year is just slightly less than the last (2,384 deals in 2021 versus 2,450 in 2020), the amount of capital invested has almost doubled to $68 billion.

There are few sectors of the stock market that are quite as exciting as the artificial intelligence sector. Eerily reminiscent of many works of science fiction, today's technological innovation has brought us smartphones, televisions, and even homes that talk to you, providing intelligent answers in seemingly no time flat! AI technology is quickly changing the way people do everything from order food to enjoy streaming entertainment, and as adoption of the technology continues, the opportunities in the space are only growing larger. It's no surprise to find intense investor interest in artificial intelligence stocks, but what exactly are the companies they represent doing, and should you be investing in them? Read on to learn more about this fast-evolving sector of the economy and how to go about investing in it.

New AI chip hold promise for machine learning recommendation. Esperanto RISC-V Chip. (Image credit: Esperanto Technologies) …

Enterprises continued to accelerate the adoption of AI and machine learning to solve product and business challenges and improve revenues in 2021. Meanwhile, AI startups have experienced significant growth, roping in major investments to improve their product offerings and meet the growing demand for AI solutions across sectors. In fact, data from CB Insights Research shows that while the number of equity funding deals in the global AI space this year is just slightly less than the last (2,384 deals in 2021 versus 2,450 in 2020), the amount of capital invested has almost doubled to $68 billion. As we head into 2022, here's a quick look back at the milestones that shaped the AI space over the past 12 months. To start the year, OpenAI announced DALL-E, a multimodal AI system that generated images from text.

The year 2021 was filled with numerous challenges and ups and downs but despite these, I emerged a better and stronger person. When I started my career in tech, I was inclined to the hardware part. However, on getting into the software space, I developed a keen interest in AI and wanted to get to learn the skill but I was confused and lost. I had no idea where and how to start. But, I took the leap of faith towards my path of interest.

Enterprises continued to accelerate the adoption of AI and machine learning to solve product and business challenges and improve revenues in 2021. Meanwhile, AI startups have experienced significant growth, roping in major investments to improve their product offerings and meet the growing demand for AI solutions across sectors. In fact, data from CB Insights Research shows that while the number of equity funding deals in the global AI space this year is just slightly less than the last (2,384 deals in 2021 versus 2,450 in 2020), the amount of capital invested has almost doubled to $68 billion. As we head into 2022, here's a quick look back at the milestones that shaped the AI space over the past 12 months. To start the year, OpenAI announced DALL-E, a multimodal AI system that generated images from text.