Computer vision models have learned to identify objects in photos so accurately that some can outperform humans on some datasets. But when those same object detectors are turned loose in the real world, their performance noticeably drops, creating reliability concerns for self-driving cars and other safety-critical systems that use machine vision. In an effort to close this performance gap, a team of MIT and IBM researchers set out to create a very different kind of object-recognition dataset. It's called ObjectNet, a play on ImageNet, the crowdsourced database of photos responsible for launching much of the modern boom in artificial intelligence. Unlike ImageNet, which features photos taken from Flickr and other social media sites, ObjectNet features photos taken by paid freelancers.

Whether it be on vacation, at work or at home, we humans in general live comfortable lives. Compared to only one century ago (in contrast to around 200,000 years of existence of homo sapiens) we have much less need for physical labour to sustain life. We have shelter, a soft bed, central heating and a shower. Our food is grown, distributed and cooked using lots of automation. We also have mobile phones.

The insurance sector represents some of the largest opportunities for innovation, with the potential for around £50 billion worth of revenue to be disrupted in the UK insurance market. As stated in the World InsurTech Report published by CapGemini and Efma in October 2019, "To deepen customer relationships, insurers will have to collaborate more with InsurTechs who are already mastering the customer experience by leveraging the most innovative technologies and use of data."

Singapore's Health Sciences Authority has approved the use of an artificial intelligence-powered (AI) software for the automated analysis and reporting of vascular ultrasound scans. Developed by See-Mode Technologies, the application taps deep learning, text recognition, and signal processing technologies with the aim of helping clinicians interpret such images -- a task that typically is performed manually, time-consuming, and error-prone. Such scans, used for patients with cardiovascular or heart diseases, are commonly analysed by a sonographer or radiologist who has to manually review between 50 and 150 images for each patient, according to See-Mode. No system is infallible and cybersecurity breaches are inevitable, but Singapore needs to do better in mitigating the risks and following through on its pledge to safeguard citizen data. "The end result is a hand-written, paper-based template filled with drawings, numbers, and measurements, which can take as long as 20 minutes per patient for severe cases," it said in a statement Tuesday.

Artificial Intelligence has been one of the most hyped technologies of the decade, with millions of articles, reports, blogs and conferences discussing the topic from every possible angle. But what's the state of artificial intelligence applications right now – especially when it comes to'real world' uses? While fully intelligent general AI remains a long way off, we have seen some impressive uses of machine learning, chatbots and even image recognition technology being released in the last couple of years. Much of the cutting-edge research is still at the academic level, but we have started to see artificial intelligence applications being launched by and used in narrower application in businesses. Let's look at some examples of how AI is being used in the'real world'.

The CECIMO General Assembly elected Dr Hans-Martin Schneeberger as President of CECIMO for a period of two years on 5 December 2019 in Brussels. His term will focus on the setting of global standards and the uptake of Artificial Intelligence. Succeeding in this role Dr Roland Feichtl, Dr Hans-Martin Schneeberger has been entrusted with the responsibility of leading the European Association that represents more than a third of the world machine tool (MT) production. In a highly competitive and uncertain global market, CECIMO and its members have to convey, to both the national and European institutions, the clear message that industry is vital for the future development of Europe. "The machine tool sector" he said "can contribute to the health of the European industry by shaping the next EU regulatory initiatives and policies".

On Thursday 28th November HPE & NVIDIA hosted more than 50 people from across the Media sector to get to grips with the impact Artificial Intelligence will have. It was great to see such a large audience for the event and high levels of interest around AI. Throughout the afternoon we had an unprecedented number of questions across a broad variety of topics. It became clear that most of companies represented in the audience feel they are only at the beginning of their AI journey. However, with so much hype and promise around AI a lot of people are keen to get down to the nitty-gritty, which means asking the questions like; where are we with AI today and how can it help me? AI today can tackle two main areas; creation of content and analytics & indexation of existing content, with creation having the greater promise but being the more challenging to achieve.

New Taipei City, Taiwan, Dec. 10, 2019 - Vecow Co., Ltd., a team of embedded experts, today announced the release of her latest GPC-1000 Series Expandable Dual GPU AI Computing System. Powered by workstation-grade Intel C246 chipset, running on dual NVIDIA Tesla /Quadro /GeForce /AMD Radeon Pro/Radeon graphics, Vecow GPC-1000 Series delivers high-performance computing and help to reduce latency and improve efficiency in data process, storage and analysis, making it ideal for robotic control, public surveillance, autonomous vehicles and deep learning applications. Vecow GPC-1000 series is powered by 9th Generation Intel Xeon /Core processor, which offers 37% better performance compared to previous generation Intel Kaby Lake platform. To address the growing AI applications such as autonomous vehicles, factory automation, public surveillance and traffic vision which requires high performance computing capability, Vecow GPC-1000 Series features dual GPUs with options of NVIDIA or AMD graphics and brings the power of dual GPU to accelerate AI solutions development and deployment. Meanwhile, it supports 9V to 55V power input with 80V surge protection, enabling a simple and wide range of applications to deploy for system integrators.

Finland is opening up a wildly popular Elements of Artificial Intelligence online course to all EU citizens. The announcement was made in Brussels on Tuesday to mark the approaching end of Finland's presidency of the Council of the EU. Finland assumed the rotating six-month presidency in July this year, shortly after the Antti Rinne administration assumed office. Rinne has since stepped down as Prime Minister and now heads a caretaker administration until a new cabinet is sworn in on Tuesday. The government said that the goal of the project is attract one percent of EU citizens – five million people – to complete the course in 2020 and 2021.