The first CSI Technical Tuesday Lecture Series kicks off with a presentation on: Artificial Intelligence, Big Data, and Manufacturing The rapidly evolving field of artificial intelligence has grown beyond research labs and Universities and made its way into the mainstream business environment. Artificial intelligence AI and machine learning ML are cited as one of the most important new business trends. Companies are using AI and machine learning to solve problems in areas ranging from banking and finance to social media and manufacturing. This talk will illustrate how businesses are using AI and ML to boost performance, drive efficiency, analyze market preferences and enhance manufacturing. Please download and install Microsoft Teams on your PC, laptop, or mobile device to participate!

On 9th April 2020, Queensland AI hosted a special online panel, exploring a very topical question, "Can AI help in the fight against COVID-19?" During the hour-long webinar discussion, Nicholas Therkelsen-Terry, CEO of Max Kelsen and Head of Queensland AI, hosted a multi-disciplinary panel of medical and AI experts directly involved in the COVID-19 response. Over the hour, the panellists discussed the role of artificial intelligence and data science in the fight against COVID-19. The panellists brought a range of perspectives and a wealth of experience to the discussion, creating a balanced conversation that considered both the clinical and technical sides of the equation. A shift away from classic statistical analysis using P-value confidence indicators and a movement towards a more precautionary, cost-benefit analysis approach for guiding health policy is key to gaining control of the pandemic.

Reading minds sounds like a concept from a sci-fi novel, but it's closer than ever before to becoming a reality. Researchers have developed artificial intelligence (AI) that can turn a person's thoughts into text by analyzing their brain activity. This could be a game-changer in more than one way. Improving and releasing a technology like this for public use would greatly benefit thousands of individuals who have lost their ability to speak. It could also further progress in making it possible to type out words just by thinking. Deciphering components of speech from brain activity isn't exactly new; we've been able to do it for roughly a decade.

Written by Dr. Yassine Ghouzam, this notebook serves as a beginner tutorial on how to build a 5 layer CNN for digit recognition. Built with Keras API, this in-depth tutorial goes through each step from data preparation to model evaluation.

The debate over the police using machine learning is intensifying – it is considered in some quarters as controversial as stop and search. Stop and search is one of the most contentious areas of how the police interact with the public. It has been heavily criticized for being discriminatory towards black and minority ethnic groups, and for having marginal effects on reducing crime. In the same way, the police use of machine learning algorithms has been condemned by human rights groups who claim such programs encourage racial profiling and discrimination along with threatening privacy and freedom of expression. Broadly speaking, machine learning uses data to teach computers to make decisions without explicitly instructing them how to do it.

Self-driving start-up backed by Toyota has transformed its robo-taxi fleet into a driverless grocery delivery service last week. The move came in response to the ongoing lockdown in California and the heightened need for essential goods amid the Coronavirus pandemic. The start-up, Pony.ai, is partnering with e-commerce site Yamibuy on the initiative and its fleet consists of 10 self-driving electric Hyundai Konas. The outfit had been participating in a robo-taxi pilot in the city of Irvine, California, since November 2019 but was forced to ground its fleet in March owing to the state's lockdown orders. Now the vehicles will run delivery trips from Yamibuy's distribution center to residences, condos and apartment complexes in Irvine.

There are five important dimensions that we must address as part of securing humanity's future in an automated world and ensuring that the advances in technology are used to serve humanity--not replace it. Reframing Society--We are reaching a truly dramatic point in human history where a number of exponential technologies are being combined to deliver radical performance improvements. A powerful mix of unleashed imaginations applied to disruptive technologies is catalyzing a possibility revolution across every aspect of human life, society, government, and business. As a result, in the next few years, society will be challenged to confront fundamental issues that go to the core of what it means to be human. Advances in science and technology will test every assumption we have about how our world works and the purpose of humans within it.

This publication intends to provide a non-exhaustive overview of articles from the media and other available public sources. It does not reflect the views of the CAHAI and of the Council of Europe. Artificial intelligence (AI) is being used as a tool to support the fight against the viral pandemic that has affected the entire world since the beginning of 2020. The press and the scientific community are echoing the high hopes that data science and AI can be used to confront the coronavirus (D. Yakobovitch, How to fight the Coronavirus with AI and Data Science, Medium, 15 February 2020) and "fill in the blanks" still left by science (G.

Data storage, processing and management are critical now as most activities worldwide move online during coronavirus lockdowns. Migration to the cloud was happening even before this crisis but now, organizations are depending on cloud services more than ever. Whether it is working from home or streaming videos from Netflix, these services are underpinned by software and hardware on the cloud. Although there may be a reduction of cloud usage as airlines and others see business dwindle, the dominant theme in these times is digitalization. The best-known cloud infrastructure providers are Amazon, Google and Microsoft.

At FRONTEO, we use our expertise and proprietary technology to deliver creative custom solutions for our partners and clients. For us, we build solutions that are as unique as each of our clients. We look at a client's specific challenges, needs, and situation. From there, we utilize our data capabilities and analysis to create better workflows so they are prepared to handle any situation. The engines are made up of AI technologies that perform learning and assessment processes and know-how that have been accumulated and systematically organized through practical human data analysis. With that architecture, our AI is able to learn the subtleties and nuances of human thoughts from a small volume of training data.