Free ChatGPT users will have to wait a while longer to be able to use its built-in image generation capability. OpenAI has just launched a feature that will allow users to generate images directly inside of ChatGPT, and it was supposed to roll out to all Plus, Pro, Team and Free users. But according to company CEO Sam Altman, it has been way more popular than OpenAI had expected even though they already had high expectations to begin with. As such, its rollout to the free tier is "unfortunately going to be delayed for a while." People have been posting ChatGPT's output all over social media.

Artificial Intelligence is a warehouse game-changer, but organizations are struggling to use it optimally, according to market study insights released today from Lucas Systems. The study, which examined AI's use, perception and value, was implemented by market research firm, Vanson Bourne, and commissioned by Lucas Systems, a pioneer in AI-based systems with 23 years of experience implementing AI-powered software into more than 400 warehouses worldwide. Survey respondents, which included executives, directors, and warehouse managers from 350 US and UK organizations, stated using AI mostly for inventory management and also expressed challenges with using AI more broadly. According to the study, executives are optimistic about AI - counting on quick and generous returns from their investment and expecting an average ROI of more than 60 percent within 5 years. Despite this optimism, 99 percent of organizations say they face challenges to use AI more effectively. Top reasons were: perceptions of high costs compared to benefits; concerns about risks and control of operations decisions; cost and time for training and a lack of understanding for implementation.

Despite high expectations for the use of artificial intelligence in imaging, use of advanced computing technologies to assist radiologists is still in the early stages. A recent report from KLAS Research finds that "talk about AI in imaging has been more common than actual adoption."

Artificial intelligence has a long history of boom and bust cycles. During A.I. booms, money flows through universities and industry labs, fueling promised advances that often sound like magic, if not panacea. Extreme optimism was particularly common in the field's early years. In 1960, for example, A.I. pioneer Herbert Simon suggested that "machines will be capable, within twenty years, of doing any work that a man can do," a claim echoed by the founder of the field, Marvin Minsky, in 1961. Despite the advances that have occured since that time -- most recently, breakthroughs in neural networks, a form of machine learning inspired by the biological structure of the brain -- today's leading researchers tend to be more circumspect about the potential of artificial intelligence in the near-term.

In the past few years, advances in artificial intelligence have captured the public imagination and led to widespread acceptance of AI-infused assistants. But this accelerating pace of innovation comes with increased uncertainty about where the technology is headed and how it will impact society. One of the clearest areas of agreement, however, is that advancing the ability of computers to interact with us in a more natural way is critical for the AI-human relationship to reach its fullest potential. We spoke to 30 of AI's most knowledgeable scientists and thought leaders about the future of the technology, and most agreed that advances in human-computer interaction (HCI) will be both dependent on AI--and essential to progressing its applications. The consensus is that within three to five years, advances in AI will make the conversational capabilities of computers vastly more sophisticated, paving the way for a sea change in computing.

They say "seek and you shall find," but sometimes, a search doesn't always come up as fruitful as all parties had hoped. This can especially be the case in eCommerce. "Site search has been an unsolved problem in eCommerce, with online retailers losing significant revenue every day because they are not able to connect shoppers to the products they are most likely to buy," said Pavan Vilas Sondur, CEO and cofounder of Unbxd, a cloud-based eCommerce product discovery solution that helps marketers deliver a personalized and tailored shopping experience to their customers. "Unbxd uses advanced artificial intelligence, Big Data and predictive analytics to help eCommerce companies improve their site search." The mission of the business is to help empower retailers to build engagement with their customers through a search that understands natural language, is personalized for each shopper and is continually learning and adapting to the latest consumer trends.

The idea that cognitive technology can transform the healthcare system in radical ways holds a special place in Matthew Howard's head. The UK Lead at IBM Watson Health has no doubts: "I consider it to be the most important development in healthcare analytics globally." And, using cognitive applications such IBM Watson to help augment the ability of the clinical scientific community, he says, is critical for meeting future life science demands. In fact, healthcare is a key strategic imperative to IBM. If you just look at some of the quotes by the company, they say very openly that Watson Health is their moon shot.