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Register for the Piloting Process - FUTURIUM - European Commission
The Ethics Guidelines for Trustworthy AI provide an assessment list that operationalises the key requirements and offers guidance to implement them in practice. This assessment list will undergo a piloting process: all stakeholders are invited to test the assessment list and provide practical feedback on how it can be improved. This feedback will allow for a better understanding of how the assessment list, which is aimed to offer guidance for all AI applications, can be implemented within an organisation. It will also indicate where specific tailoring of the assessment list is needed given AI's context-specificity. All interested stakeholders can participate to the piloting process and start testing out the assessment list. An open survey or "quantitative analysis" which will be sent to all those who register to the piloting; The piloting phase will run from the 26th of June until the 1st of December 2019.
How AI can improve agriculture for better food security
Roughly half of the 821 million people considered hungry by the United Nations are those who dedicate their lives to producing food for others: farmers. This is largely attributed to the vulnerability of farmers to agricultural risks, such as extreme weather, conflict, and market shocks. Smallholder farmers, who produce some 60-70% of the world's food, are particularly vulnerable to risks and food insecurity. Emerging technologies such as Artificial Intelligence (AI), however, have been particularly promising in tackling challenges such as lack of expertise, climate change, resource optimization and consumer trust. AI assistance can, for instance, enable smallholder farmers in Africa to more effectively address scourges such as viruses and the fall armyworm that have plagued the region over the last 40 years despite extensive investment, said David Hughes, Co-Founder of PlantVillage and Assistant Professor at Penn State University at a session on AI for Agriculture at last week's AI for Good Global Summit.
Quantum Computers Could Be True Randomness Generators
Say the words "quantum supremacy" at a gathering of computer scientists, and eyes will likely roll. The phrase refers to the idea that quantum computers will soon cross a threshold where they'll perform with relative ease tasks that are extremely hard for classical computers. Until recently, these tasks were thought to have little real-world use, hence the eye rolls. Original story reprinted with permission from Quanta Magazine, an editorially independent publication of the Simons Foundation whose mission is to enhance public understanding of science by covering research develop ments and trends in mathe matics and the physical and life sciences. But now that Google's quantum processor is rumored to be close to reaching this goal, imminent quantum supremacy may turn out to have an important application after all: generating pure randomness.
7 Fastest-Growing Job Roles In Data Science & How To Work Towards Them
In an industry that is experiencing a steady rate of job creation, data science itself has moved from just a buzzword to a strategic component in organisations. In addition to this, data scientists are increasingly taking on more strategic roles as organisations employ a product-centric view of data. It is a field that promises tremendous job growth and higher earning potential. Our latest research posits 97,000 jobs are available in this buzzing field. On the hiring end, there is a significant overall growth in jobs in the field.
Artificial Intelligence in Classrooms - The Future of Education
With technological advancement and digitization, education industry is increasing at a fast pace. Education is changing dynamically with more and more privatization of this sector specially in India. From a data Fifty percent of India's population is the youth. This means that the Indian education sector is huge with a population of 1.13 billion. India has around 367 universities, 18,000 colleges, about half a million teachers, and 11 million pupils.
How artificial intelligence is powering cybersecurity
Technology progresses daily and with this progression come threats and risks to social, financial and economic life. Today, cyber-attackers have resorted to the use of automation to launch more frequent attacks on different businesses and corporations. While cyber-attackers are expending a lot of resources to launch more sophisticated attacks, many organizations still rely on manual efforts to gather internal security findings and contextualize them with external threat information. It was reported that carelessness of employee was the reason behind the ransomware attack in 51 percent of the cases. However, such outdated methods and strategies need to part way for AI because they use up a lot of time, in which cyber-attackers can successfully take advantage of vulnerabilities to breach systems and steal data.
What does 5G mean for robotics?
It's a vision we've seen in science fiction countless times: robots reacting independently to novel situations they couldn't possibly have been programmed for. Until now it's been no more than a fantasy, but with the advent of 5G, robotics could be on the brink of a revolution. It will be around 10 times faster than 4G speeds, with far more bandwidth and more reliable connections – and for robotics, that makes all the difference. Latency is an enormous challenge for robot developers; if it takes too long an input to be received and processed, then a movement to be calculated and executed, the robot is severely limited. Until now, the only way to transmit the vast quantities of data needed to operate robots without lag has been to keep them tethered with a wired connection, but thanks to 5G networking, that could all be about to change.
Facial and emotional recognition; how one man is advancing artificial intelligence
Despite what you hear about artificial intelligence, machines still can't think like a human, but in the last few years they have become capable of learning. And suddenly, our devices have opened their eyes and ears and cars have taken the wheel. Today, artificial intelligence is not as good as you hope and not as bad as you fear, but humanity is accelerating into a future that few can predict. That's why so many people are desperate to meet Kai-Fu Lee, the oracle of AI. Kai-Fu Lee is in there, somewhere, in a selfie scrum at a Beijing Internet Conference.
Artificial intelligence finds lung cancer
Artificial intelligence is better than specialist doctors at diagnosing lung cancer, a US study suggests. The researchers at Northwestern University in Illinois and Google hope the technology could boost the effectiveness of cancer screening. Finding tumours at an earlier stage should make them easier to treat. The team said AI would have a "huge" role in the future of medicine, but the current software is not yet ready for clinical use. The study focused on lung cancer, which kills more people - 1.8 million a year - than any other type of cancer.
Ovation Abstract on Artificial Intelligence in IVF Nominated for Awards at ESHRE in Vienna
LOS ANGELES, June 26, 2019 /PRNewswire-PRWeb/ -- An Ovation Fertility abstract about the use of artificial intelligence in IVF, presented at the 35th European Society of Human Reproduction and Embryology (ESHRE) Annual Meeting on June 24, 2019, was pre-selected for consideration for two prestigious awards at the event: The Basic Science Award for Oral Presentation, awarded to the presenting author of the best oral presentation on a basic science topic, and the Fertility Society of Australia Exchange Award, which provides an educational travel grant for the presenting author to present the data of his/her oral presentation at the annual meeting of the Fertility Society of Australia (FSA). Only five presentations at ESHRE 2019 were selected to receive awards and be rewarded with a prize of EURO 2,000, and one additional presentation was selected for the FSA Exchange Award. Special award committees, composed of senior scientists and clinicians, made the selections for each award. Ovation's oral presentation about the use of artificial intelligence in IVF, "Artificial intelligence (AI) technology can predict human embryo viability across multiple laboratories with varying demographics with high accuracy and reproducibility," detailed a study that sought to find out if artificial intelligence (AI) and computer vision can improve embryo viability prediction using static 2D images of Day 5 embryos from multiple laboratories. In most IVF labs, embryologists select which embryos to transfer based on morphological assessment, using high-powered microscopes to examine each embryo and assign it a subjective "grade."