What message does Ukraine's Operation Spider's Web send to Russia and US? Ukraine carries out large-scale drone strikes on multiple Russian airbases.Read more Eighteen months in the making, Ukraine's Operation Spider's Web saw hundreds of AI-trained drones target military aircraft deep inside Russia's borders. Ukrainian President Volodymyr Zelenskyy says Sunday's attacks will go down in history. He followed them up with a proposal for an unconditional ceasefire as the two sides met in Istanbul. The European Union is preparing its 18th package of sanctions on Russia, while US President Donald Trump has threatened to use "devastating" measures against Russia if he feels the time is right. So, is the time right now?

The UK's Advanced Research and Invention Agency (ARIA) has chosen eight scientists who will each be given up to £50 million to allocate as they see fit, in the hopes that a high-risk, high-reward approach to research funding will deliver results that benefit UK society and fuel economic growth. ARIA is the brainchild of Dominic Cummings, an adviser to former UK prime minister Boris Johnson who has long wanted to shake up UK science funding. "A small group of people can make a huge breakthrough with little money but the right structure, the right ways of thinking," Cummings wrote in 2017. He was inspired by the US's Advanced Research Projects Agency (ARPA), which spurred computer science as a discipline and created a forerunner of the internet in the 1960s and 1970s. It did this, in the words of one of its leading scientists, by having "visions rather than goals" and because it "funded people, not projects".

Its impact can be far more profound and felt across the entire organisation, affecting the ways team interact and the way leaders lead. If AI is to deliver on its true potential for your organisation, it needs cultural as well as technical change. In this Breakfast Briefing, Part of BIMA's Age of AI series in partnership with Microsoft, an expert panel will help you explore the building blocks of an AI culture, including: So how do you create quality data available to all? Empowerment: Many of the most profound impacts of AI come from people closest to the business. So how do you encourage greater collaboration?

This article was co-authored by Professor Helen Margetts, Programme Director for Public Policy, and Turing Fellow; Dr Cosmina Dorobantu, Deputy Programme Director for Public Policy, and Policy Fellow; and Josh Cowls, Research Associate. If you hear about data, artificial intelligence (AI) and algorithms in the news, it's likely to be about discriminatory practices, threats to personal privacy or national security, or another crisis created by the advance of digital technology. Sometimes these problems can feel so entrenched that they are insurmountable. But there is reason to be optimistic. As it turns out, the challenges posed by these modern fields of data science and AI can be addressed by one of the oldest: ethics.

We're at an unprecedented point in human history where artificially intelligent machines could soon be making decisions that affect many aspects of our lives. But what if we don't know how they reached their decisions? Imagine being refused health insurance - but when you ask why, the company simply blames its risk assessment algorithm. Or if you apply for a mortgage and are refused, but the bank can't tell you exactly why. Or more seriously, if the police start arresting people on suspicion of planning a crime solely based on a predictive model informed by a data-crunching supercomputer. These are some of the scenarios the tech industry is worrying about as artificial intelligence (AI) marches inexorably onwards, infiltrating more and more aspects of our lives.

We're at an unprecedented point in human history where artificially intelligent machines could soon be making decisions that affect many aspects of our lives. But what if we don't know how they reached their decisions? Imagine being refused health insurance - but when you ask why, the company simply blames its risk assessment algorithm. Or if you apply for a mortgage and are refused, but the bank can't tell you exactly why. Or more seriously, if the police start arresting people on suspicion of planning a crime solely based on a predictive model informed by a data-crunching supercomputer. These are some of the scenarios the tech industry is worrying about as artificial intelligence (AI) marches inexorably onwards, infiltrating more and more aspects of our lives.

Global spending on robotics and drones is expected to grow 22.1%, year-on-year, to reach $103 billion by the end of 2018, an International Data Corporation report said. The report also said that the spending will more than double to $218.4 billion by 2021, with a compounded annual growth rate of 25.4%. According to the market research firm, robotics spending, which is expected to touch $94 billion in 2018, will account for over 90% of all spending between 2017 and 2021. Industrial robotic solutions will account for the largest share of robotics spending, with over 70% of the total amount, followed by service and consumer robots. "Industrial robots are becoming more intelligent, human-friendly and easier to work with," said Jing Bing Zhang, research director, robotics at IDC. "This has accelerated their rapid expansion in the manufacturing industry, beyond automotive, especially in high-tech manufacturing, which requires light-weight robots with higher precision, flexibility, mobility and collaborative capability."