Moving Object Detection (MOD) is a critical task for autonomous vehicles as moving objects represent higher collision risk than static ones. The trajectory of the ego-vehicle is planned based on the future states of detected moving objects. It is quite challenging as the ego-motion has to be modelled and compensated to be able to understand the motion of the surrounding objects. In this work, we propose a real-time end-to-end CNN architecture for MOD utilizing spatio-temporal context to improve robustness. We construct a novel time-aware architecture exploiting temporal motion information embedded within sequential images in addition to explicit motion maps using optical flow images.We demonstrate the impact of our algorithm on KITTI dataset where we obtain an improvement of 8% relative to the baselines. We compare our algorithm with state-of-the-art methods and achieve competitive results on KITTI-Motion dataset in terms of accuracy at three times better run-time. The proposed algorithm runs at 23 fps on a standard desktop GPU targeting deployment on embedded platforms.

Success in any area is often a combination of three things: talent, hard work and perseverance. For software-as-a-service (SaaS) company Darts-ip, all three were needed to grow a pioneering idea from a handful of people to a 300-strong organisation in just 13 years. The talent came in the form of two groups from very different industries. The service they wanted to offer, to make legal research as easy as possible, came from trademark lawyer and Darts-ip founder Jean-Jo Evrard. While working in Brussels and Paris for law firm NautaDutilh, Evrard was frustrated.

For some, the spread of artificial intelligence and robotics poses a threat to our privacy, our jobs – even our safety, as more and more tasks are handed over to silicon-based brains. But even the most vocal critics highlight the potential good that AI and automated systems could do for humanity. As part of BBC Future Now's Grand Challenges, a panel of experts recently described how they saw our world changing as the machines we use grow smarter. Now, in our Grand Ideas series, BBC Future Now has sought out projects where advanced AI and automation is already beginning to tackle some of the world's knottiest, and dangerous, problems, from illnesses to violence. "We should view AI not as something competing with us, but as something that can amplify our own capabilities," says Takeo Kanade, a professor of robotics at Carnegie Mellon University.

For more than 4,000 years, the advertising industry has been defined by new technologies that allow companies, governments and individuals to attract and retain the interest of their target audiences. In Egypt, papyrus was used to deliver some of the world's first commercial advertising in poster form. The first ever advertising "jingle" or sonic logo was the result of ladies of the night in 750 BC Greece hammering nails into their shoes to produce a distinctive tone to attract clients. The advent of the printing press, radio, television, and now the internet and social media have all radically changed the way in which products are sold. In the mid-1990s, as companies and organisations began recognising the internet's potential as a marketing tool, huge amounts of time and money were poured into establishing online footprints.

How ready is India for the world of artificial intelligence (AI)? This question is answered in one of the latest global lists researched and created by Oxford Insights and commissioned by Canada's International Development Research Centre. It is called the Government Artificial Intelligence Readiness Index. The just released index measures 194 countries on a scale of 1-10 on how ready their governments are to embrace and make use of a world dominated by artificial intelligence. At the very top of the list is Singapore with a score of 9.186 and at the bottom is Somalia which scores 0.168. This kind of ranking is critical to understand the adoption of a technology which has, famously, been described as the'next electricity' or as fundamental as electricity by Andrew Ng, co-founder of Coursera and former head of Google Brain.

A Chinese firm has signed a Memorandum of Understanding (MoU) with Ethiopia authorities on establishing a National Artificial Intelligence Infrastructure (NAIF) in Ethiopia, reported state media outlet Ethiopia News Agency (ENA) on Saturday. The MoU was signed between Ethiopia Innovation and Technology State Minister, Sisay Tola and Chen Kuan, the founder and CEO of Chinese firm Infervision Technology Corporation in Ethiopia's capital Addis Ababa on Friday evening, reported ENA. Ethiopia hopes the partnership with Infervision will boost the technological capacity of its education, health care and medical services. Ethiopia also hopes the partnership will facilitate a platform for exchange of ideas and investment opportunities between enterprises of both countries in various sectors including energy, textile, agriculture, construction and information technology. Ethiopia and China have recently signed various agreements in the Information Communication and Technology (ICT), as Ethiopia looks to modernize its largely agrarian economy.

An innovative chat-bot that helps patients and doctors diagnose diseases ranging from malaria to diabetes has become the first health app to launch in Swahili. Developed by Ada Health, the app relies on artificial intelligence, large medical databases and personalised responses to assess an individual's symptoms, suggest a cause and recommend the next stage of treatment. The smartphone chat-bot is already used by roughly eight million people in more than 130 countries across the globe – published in languages including English, French and Spanish. But it has now become the first AI health application to launch in Swahili, a language spoken by almost 100 million people across East Africa – predominantly in Tanzania, Uganda and Kenya. According to Hila Azadzoy, the managing director of Ada's global health initiative, the expansion will help tackle a shortage of doctors and nurses in the region, where countries have fewer than one physician per 1,000 people on average.

Sign in to report inappropriate content. It's been some time since there's been a video on my Vlog Channel. Good to be back, on this video I share some quick snippets of my recent trip to #NewYorkCity. I Dive into the great work we have been doing at Hashtag South Africa and welcoming you to Robotic Processing Automation, and Artifical Intelligence solutions we are now providing to our customers. As Usual, I'm recapping Global Goals 2030 and how everyone around the world is working together.

This week, we discuss what to do about bias in algorithms; Russia's limits in the Middle East; learning from other countries' experiences with fentanyl; what protests could mean for democracy in the Middle East; how cities can help U.S. diplomacy; and helping U.S. Army special operations forces assess their missions. Earlier this month, a controversy about gender bias in the Apple Card algorithm lit up social media; an outraged tech executive posted about how his credit line was 20 times higher than his wife's, even though the two share all assets. According to RAND's Osonde Osoba, problems like this may become more common as artificial intelligence is used in more kinds of decisionmaking. It's not always possible to pinpoint how a complex algorithm led to a bad outcome, he says. But there are ways for companies to audit algorithms for sexist, racist, biased behaviors.

Training Data – There is a famous punch line about Data. "Data is not good enough if it's not a quality data". If your data model is not working or performing as expected blame your data and data source. Instead of struggling to find an opportunity for performance tuning look for improving data quality fed into the model. AILabPage defines machine learning as "A focal point where business, data, experience meets emerging technology and decides to work together".