The energy industry can free up more time for high value activities and improve safety performance by adopting data-driven digitisation, according to a world-leading artificial intelligence (AI) expert. In a keynote speech at this year's OPITO Global Conference on 6th November in Kuala Lumpur, Dr Ayesha Khanna, founder and CEO of Singapore headquartered ADDO AI will describe how AI and machine learning are delivering huge benefits in other sectors. Celebrating its 10th anniversary, OPITO Global is the only international event focusing on energy industry safety and competency. Industry leaders and experts will share their insights on Safety 4.0, exploring how technology is helping to improve safety, health and wellbeing. Dr Khanna has provided strategic advice to international corporations and governments and last year she was described by Forbes magazine as one of South East Asia's most ground-breaking female entrepreneurs.

Marcus stops by the coffee shop on his way to work as a diplomat at the U.S. Embassy. As he exits, ready to cut across Pylimo Street, a man approaches him. In accented English, the man says that he's lost and motions to his phone. Marcus looks down at the phone and sees a video of a man embracing a woman for a kiss. But the woman is not his wife.

What is happening in Europe regarding Artificial Intelligence (AI) and Machine Learning (ML)? "A lot" is the short answer. There is a Cambrian explosion of projects, studies and initiatives in this field. In this post we provide an overview of what is happening in Europe regarding Artificial Intelligence (AI) and Machine Learning (ML). We look some of the latest examples from across Europe where public sector buyers are looking for suppliers of Artificial Intelligence, Machine Learning and Big Data systems, products and services.

Initially conceived as a technology that could mimic human intelligence, AI hasn't quite achieved this feat but significant progress has been made.

The use of "nudges" in policymaking has been a major trend since the UK launched the world's first government-embedded behavioural insights unit in 2010. But governments around the world, from Denmark to Singapore, have been using principles from behavioural science to influence citizens since at least the 1960s. That's according to a new World Bank report, Behavioural Science Around the World, which highlights 10 countries that are pioneering the use of behavioural insights: Australia, Canada, Denmark, France, Germany, the Netherlands, Peru, Singapore, the UK and the US. The World Bank report looks at how these teams are integrated into government, which projects they're working on and how they are run -- and, most importantly, which experiments have worked. It predicts that in the future, behavioural insights units will benefit from artificial intelligence, machine learning and virtual reality the same way they've gained from advancements in open data and e-government.

But Vallor – a leading American scholar of the ethics of data and artificial intelligence shortly to flit to Edinburgh University – reckons we should be concerned with military robots. Because of the people who may control them. Science fiction writers have fretted for decades about the moral philosophy of smart robots. What, at least in popular culture, we have not done so much is think about the ethics of dumb humans who will suddenly have control of vast amounts of artificial intelligence. That is where thinkers like Vallor come in.

We derive a formula for neural network integral representations on the sphere with the ReLU activation function under the finite $L_1$ norm (with respect to Lebesgue measure on the sphere) assumption on the outer weights. In one dimensional case, we further solve via a closed-form formula all possible such representations. Additionally, in this case our formula allows one to explicitly solve the least $L_1$ norm neural network representation for a given function.

Over the past decade, the NASA Autonomous Systems and Operations (ASO) project has developed and demonstrated numerous autonomy enabling technologies employing AI techniques. Our work has employed AI in three distinct ways to enable autonomous mission operations capabilities. Crew Autonomy gives astronauts tools to assist in the performance of each of these mission operations functions. Vehicle System Management uses AI techniques to turn the astronaut's spacecraft into a robot, allowing it to operate when astronauts are not present, or to reduce astronaut workload. AI technology also enables Autonomous Robots as crew assistants or proxies when the crew are not present. We first describe human spaceflight mission operations capabilities. We then describe the ASO project, and the development and demonstration performed by ASO since 2011. We will describe the AI techniques behind each of these demonstrations, which include a variety of symbolic automated reasoning and machine learning based approaches. Finally, we conclude with an assessment of future development needs for AI to enable NASA's future Exploration missions.

As we teeter on the brink of another technological revolution--the artificial intelligence revolution--worry is growing that it might be our last. The fear is that the intelligence of machines will soon match or even exceed that of humans. They could turn against us and replace us as the dominant "life" form on earth. Our creations would become our overlords--or perhaps wipe us out altogether. Such dramatic scenarios, exciting though they might be to imagine, reflect a misunderstanding of AI.