The Micron Foundation (Nasdaq:MU) announced a $1 million grant for universities and nonprofit organizations to conduct research into how artificial intelligence (AI) can improve lives while ensuring safety, security and privacy. The grant was announced at the inaugural Micron Insight 2018 conference where the technology industry's top minds gathered in San Francisco to discuss the future of AI, machine learning and data science, and how memory technology is essential in bringing intelligence to life. "Artificial intelligence is one of the frontiers where science and engineering education can best be applied," said Micron Foundation Executive Director Dee Mooney. "We want to accelerate advances in AI by investing in education and making sure that pioneers of this technology, reflect the diversity and richness of the world we live in and build a future where AI benefits everyone." Micron awarded a total of $500,000 to three initial recipients at Micron Insight 2018.

If your child isn't a straight-A student today, don't worry, take the long view. In the future, artificial intelligence (AI) will automate many jobs and disrupt industries, outperforming people in many areas. In generations prior, college degrees and post-graduate degrees were a path toward having careers with higher than average income-earning potential. Automation due to AI will impact both white collar and blue collar jobs alike. Presently AI is already beginning to make inroads in the areas of medicine, legal, marketing, customer service, bookkeeping, financial services, business analytics, transportation, publishing, and others.

The summit is scheduled to hold on Wednesday, 10 October 2018 at the Oriental Hotel, Victoria Island, Lagos and with the theme, "New Algorithms for the Financially Excluded Segment". This is a broad based stakeholder session focused on understanding emerging trends and advanced data analytics use cases applied to issues of financial inclusion. Leading the plenary and discussions are leading local and international experts like Adebisi Shonubi, MD/CEO, NIBSS; Dr (Mrs) Yinka David-West, Director, Lagos Business School; Matt Grasser, Director, Inclusive Fintech, Bankable Frontiers Associate, USA; Temitope Akin-Fadeyi and Head Financial Inclusion Secretariat, Central Bank of Nigeria; Ekow Duker. The one-day Summit will be followed by a five-day residential, all-expenses-paid Artificial Intelligence bootcamp and hackathon on emerging trends in machine learning and deep learning between 10 and 14 October 2018. The goal is to build world-class capacity in advanced data analytics, upskill financial inclusion data analysts and researchers in emerging best practices, and to support the development of contextually relevant algorithm and tech innovation.

Intel Israel CEO Garty said that the company is "proud of the cooperation with the Technion, which will promote Israeli technology and Intel's technological leadership in the field of artificial intelligence." The Technion and Intel inaugurated a new research center this month to advance artificial intelligence (AI) technology and ramp up collaboration between the two entities. "The Technion is the leading university in Israel in the field of artificial intelligence and is one of the top ten universities in the world in the field," Mannor said. In 2018, the Technion ranked 7th in the Computer Science Rankings. The Technion has about 20 faculty members whose main field of research is computational learning and another 40 researchers working in related fields.

Google loves machine learning (ML). Now, it's launched a new course module that aims to help you, a human, recognize your own bias before training ML models. Named'Fairness,' the course is 70 minutes on how humans are compromising machine learning models. As ML practitioners build, evaluate, and deploy machine learning models, they should keep fairness considerations (such as how different demographics of people will be affected by a model's predictions) in the forefront of their minds. Additionally, they should proactively develop strategies to identify and ameliorate the effects of algorithmic bias.

Teachers have long recognized that their students learn at different rates, and in different ways. Recall the frustration of a gifted student who had learned a concept through their own reading, needing to curtail their enthusiasm during a particular lesson while the rest of the class caught up. Or the contrary: the struggling student, who may have missed a class in a previous grade, and does not have a foundation skill with which to build comprehension of the new lesson. In the hurly burly of a class, the subtleties of who is chomping at the bit to learn more and who is struggling may not always be that obvious. Students will seldom put their hands up and self-identify as being "bored" or "struggling".

During the first phase of this program, students take Udacity's "Introduction to Deep Learning with PyTorch" course. The duration of this course is two months. Program participants will receive support from community managers throughout their learning experience in this course, and will be part of a dynamic student community and network of scholars. The top 300 students from the first phase of the program will earn a full scholarship to Udacity's Deep Learning Nanodegree program, where they'll cover Convolutional and Recurrent Neural Networks, Generative Adversarial Networks, Deployment, and more. Students will use PyTorch, and have access to GPUs to train models faster, as they learn from authorities like Sebastian Thrun, Ian Goodfellow, Jun-Yan Zhu, and Andrew Trask.

This summer I advised at Acorn Aspirations' Teens In AI Accelerator, which provides young people with a platform to use AI to solve some of the world's biggest problems. In just 10 days, 22 teenagers developed five products which addressed fake news, skin diseases, cancer detection and education, which they then pitched to a panel of judges. Elena Sinel, founder and CEO of Acorn Aspirations and Teens in AI, has identified the educational system's slowness in evolving to keep up with the changes created by AI. To solve this pressing issue, Elena runs hackathons, bootcamps and accelerators, designed to inspire young people aged 12-18 to change the world for the better. I wanted to hear from Elena herself about her mission and what motivates her.

The first panel of the symposium began at 11:05 a.m. and reached a broad range of topics during the discussion entitled "The good, the bad, and the ugly of AI and robotics." The speakers of the panel included Jason Millar, assistant professor in the School of Electrical Engineering and Computer Science, Cindy Grimm, associate professor of mechanical engineering, Geoffrey Hollinger, assistant professor in the Collaborative Robotics and Intelligent Systems Institute at OSU and Stephanie Jenkins, assistant professor in the School of History, Philosophy and Religion at OSU. The panel then allowed each speaker to give a brief opinion of what the greatest risk and the greatest benefit of the widespread adoption of AI and robotics are. Grimm began by explaining that a large benefit of AI will be its ability to complete simple tasks, allowing people more time to tackle larger issues. Grimm went on to explain that the flip side of this is as AI becomes more common in daily, simple tasks, the public may become too trusting of these systems and allow them to make decisions that may be beyond their capability.

The first panel of the symposium began at 11:05 a.m. and reached a broad range of topics during the discussion entitled "The good, the bad, and the ugly of AI and robotics." The speakers of the panel included Jason Millar, assistant professor in the School of Electrical Engineering and Computer Science, Cindy Grimm, associate professor of mechanical engineering, Geoffrey Hollinger, assistant professor in the Collaborative Robotics and Intelligent Systems Institute at OSU and Stephanie Jenkins, assistant professor in the School of History, Philosophy and Religion at OSU. The panel then allowed each speaker to give a brief opinion of what the greatest risk and the greatest benefit of the widespread adoption of AI and robotics are. Grimm began by explaining that a large benefit of AI will be its ability to complete simple tasks, allowing people more time to tackle larger issues. Grimm went on to explain that the flip side of this is as AI becomes more common in daily, simple tasks, the public may become too trusting of these systems and allow them to make decisions that may be beyond their capability.