AI-assisted modernization can reduce the time and complexity of transforming legacy systems while creating a foundation for faster innovation, says Asifa Sherazi, CIO of health insurance at Bupa and Sanjeev Tripathi, senior VP, region head of BFSI, healthcare, and public sector at Infosys. For years, legacy technology has been a problem companies knew they needed to solve, but one they often struggled to tackle. The cost, complexity, and risk of replacing business-critical systems could make modernization feel like a disruption to manage instead of an opportunity to pursue. But with the rise in customer expectations and the changes AI brought to the economics of software development, that calculation is changing. Bupa's modernization of its My Bupa mobile application offers a case study in what becomes possible when a legacy migration is treated as a business transformation rather than a technology rewrite. Bupa CIO of health insurance Asifa Sherazi describes the risks of waiting for legacy systems to become an emergency: "The end-of-life technology is a risk that compounds quietly, and then arrives all at once." For Bupa, moving its application from Xamarin to native Swift and Kotlin improved the app rating from 3.7 to 4.7, while the user-perceived crash rate fell by nearly 24 percentage points on Android and eight points on iOS. "What they'll notice is that when they need us, often at a stressful moment, it just simply works," Sherazi says. Sanjeev Tripathi, senior vice president and region head of BFSI, healthcare, and public sector for Australia, New Zealand, and Southeast Asia at Infosys, contends that AI is helping change the equation. "The emergence of AI is fundamentally shifting the economics of modernization," he says, reducing the effort, risk, and time traditionally associated with these programs. At Bupa, combining AI-assisted reverse engineering with forward engineering helped deliver the transformation in approximately 60% less time than would have been possible in the pre-AI era.

Bringing back in the specialists and generalists idea - could you have several specialists on each node, and then a generalist agent overseeing all the nodes? Yes, you can think of it that way. We use the term "orchestrator" - an orchestrator is trying to manage everything, but the complexity gets balanced with a hierarchical structure. You tested this policy on some leading LLMs, and they performed differently to each other. Why do you think Gemini did better than, say, Claude or ChatGPT?

John Ternus takes over as Apple's chief executive on Tuesday, inheriting a company that towers over the smartphone market but trails its rivals in artificial intelligence. One of his biggest challenges will be balancing the company's dependence on China while parrying acute political pressure from the White House. Ternus, 51, joined Apple's design team in 2001 and worked his way up to senior vice president of hardware engineering, reporting to Cook. He leads the engineering teams behind Apple's entire product lineup, including the iPhones that generate most of the company's revenue. He gets barely a week to settle in, with Apple holding its annual iPhone event on September 9, where it is expected to unveil its first foldable handset.

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen The rise of generative and agentic AI has dramatically changed the software-building process - and the skills required. Coursera founder Andrew Ng has listed key AI development skills. Some industry experts suggest the list is too focused on building. Engineers must also understand the business problem and risks. Is it time to think outside the box for software engineering AI skills?

The new device combines synthetic DNA and a semiconductor to create an efficient memory resistor, or'memristor.' More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The researchers engineered synthetic DNA and integrated it with a semiconducting material to increase the storage capacity of advanced materials. Here, the internal two-dimensional structures of the synthetic DNA is visible via optical microscopy. Breakthroughs, discoveries, and DIY tips sent six days a week.

Science Physics 3D-printed'balloon banjo' is ready for pickin' The DIY project is better suited as a learning tool than a jam session instrument, but it's still ingenious. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The amount of air in the balloon determines its resonance. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

Anne Fehres and Luke Conroy AI4Media Humans Do The Heavy Data Lifting Licenced by CC-BY 4.0 The Royal Statistical Society's AI Task Force has issued a critical mandate via a new paper, AI Regulation Needs Statistics, which demands that statistical principles actively shape global AI governance. The publication escalates the core argument of their foundational work, AI is Statistics . This earlier paper argued that AI is fundamentally statistical, meaning effective and ethical deployment is impossible without statistical literacy. You can watch our expert panel discuss the topic here . A major focus of that work was around the challenges of evaluating AIs, given that they are dynamic systems that continue to evolve once they have been deployed in the real world.

US researchers have announced the creation of new viruses using artificial intelligence, a scientific first that raises hopes for advances in medical treatments while also stoking anxiety about the dangers of the frontier technology. In findings published in the journal Science, researchers at Stanford University and the Broad Institute of MIT and Harvard said they used a naturally occurring phage - a type of virus that infects bacteria - as a template to generate thousands of genomes with AI. In tests, a mixture of the synthetic viruses proved more effective at killing E coli bacteria than the naturally occurring viruses, according to the findings. "Our approach expands what synthetic genomics can achieve alongside methods such as directed evolution and rational engineering, lays out a path for generating adaptive and resilient phage therapies against rapidly evolving pathogens, and establishes a foundation for the generative design of larger, more complex genomes," the researchers wrote in Science. Brian Hie and Samuel King, two of the paper's authors, did not immediately respond to requests for comment.

The prototype could help us see light that other animals can. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Future glasses could take us into the hidden world of infrared light. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

The Future of AI Research report, published in March 2025, aims to clearly identify the trajectory of AI research in a structured way. The report was led by outgoing AAAI President Francesca Rossi and covers 17 different AI topics . Members of the report team, and other selected AI practitioners, are taking part in a series of video panel discussions covering selected chapters from the report. In the next discussion in the collection, the four panellists tackle AI and scientific integrity. Lucy Smith is Senior Managing Editor for AIhub.