With less than 40 days to re:Invent 2019, the excitement is building up and we are looking forward to seeing you all soon! Continuing our journey on artificial intelligence and machine learning, we are bringing a lot of technical content this year, with over 200 breakout sessions, deep-dive chalk talks, hands-on exercises with workshops featuring Amazon SageMaker, AWS DeepRacer, and deep learning frameworks such as TensorFlow, PyTorch, and more. You'll hear from many customers including Vanguard, BBC, Autodesk, British Airways, Fannie Mae, Thermo Fisher, Intuit, and many more. We are also hosting the Machine Learning Summit again this year, where you will hear from researchers and entrepreneurs about the latest breakthroughs today and the future possibilities tomorrow. To get you started on planning, here are a few highlights for the AI and ML sessions from the re:Invent 2019 session catalog.

The AIC 2019 conference will focus on the increasing impact of artificial intelligence (AI) and robotics on the agri-food sector in Canada. As the agri-food supply chain evolves, AI and robotics will have a crucial impact on Canada's agri-food sector's capacity to adapt, compete and lead. Panels and presentations at AIC 2019 will focus on understanding the potential and the challenges posed by AI and robotics.

I believe that artificial intelligence is going to be our partner. If we misuse it, it will be at risk, if we use it right it can be our partner. Go anywhere today; the essence of AI is spreading in every sector. Starting from non-manual cash-registers to high tech security verification at the airports, AI is building a strong niche that is hard to resist. In-fact according to a survey done by Tractica, AI in eCommerce is booming at such a pace that the revenue is expected to reach $36.8 Billion worldwide by 2025.

What does a milkman and a copywriter have in common? I'm not a milkman nor have I lived in the 50s. I have been a copywriter for almost a year. And I can share a bit of how a copywriter's life goes in the modern century. Nowadays, most of our hours involves facing a computer screen, whether at home or at the office. We don't carry pens and paper as much as we used to, unless we need something more physical to mimic our vintage creative processes.

Black people in the US may be missing out on healthcare because a widely used algorithm is racially biased. The proportion of black people referred for extra care would more than double if the bias were removed, according to new research. Algorithms are fast becoming a key part of healthcare. Such technologies are used to screen somewhere between 100 and 200 million people in the US, says Ziad Obermeyer at the University of California, Berkeley. One example is an algorithm that is used to predict the future health of individuals based on their past health records.

Driverless cars are being tested in the south of London by a company which won't reveal where they will be. FiveAI is today beginning road tests of its self-driving technology in the boroughs of Bromley and Croydon. The company says its cars will be ferrying commuters around the boroughs for the next two months, but hasn't released any details of the 12-mile loop they'll use. They will be making more than three journeys per day on'multiple' days per week, the company told MailOnline, but it wouldn't give any more specifics. At least two people will be in the car at all times – a back-up driver, a technician and sometimes a volunteer commuter – in case something goes wrong.

Fox News Flash top headlines for Oct. 24 are here. Check out what's clicking on Foxnews.com The owner of the Rubik's Cube has lost an appeal to regain the European Union trademark rights to the classic puzzle's iconic shape in a new twist to the ongoing legal drama. Rubik's Brand Ltd. lost the protection rights to the puzzle's shape in 2017, after the EU's top court ruled that law prevents the firm from having "a monopoly on technical solutions or functional characteristics of a product," Bloomberg reported. The EU General Court in Luxembourg upheld that decision on Thursday.

Putting machine learning into production in the enterprise is not easy: Many organizations are struggling to implement the technology at scale. But it is possible to make the process of building, scaling, and deploying enterprise machine learning solutions repeatable and predictable. Join Tom Davenport, President's Distinguished Professor of IT and Management, Babson College; Alex Breshears, senior product manager, Production Machine Learning, Cloudera; and Abbie Lundberg, business technology analyst, Lundberg Media for a discussion of the specific challenges enterprises face in machine learning and how they can create an end-to-end, factory-like capability. The content was created by the speakers of this event. The MIT Sloan Management Review editorial staff was not involved in the selection, development, or broadcast of this event.

In the world of business, the benefits of Artificial Intelligence (AI) seem limitless. At Micron Gives, we see similar potential for AI to reshape education, communities and the world at large and are dedicated to seeing these opportunities become reality through key grants and partnerships. This is the motivation behind our Advancing Curiosity grant program. Launched in 2018, we dedicated $1 million to projects incorporating artificial intelligence that benefit society through good works. Through the program we have found inspiring work being done at universities and nonprofits that seek to channel AI into research that will help humanity without sacrificing safety, security or privacy.

From September 23 to 28, 2019, the Markkula Center's Director of Technology Ethics, Brian Green, attended two Vatican-sponsored meetings on AI. AI and Faith, an organization seeking to promote conversations about AI with religious organizations, interviewed Dr. Green on his experience. This interview is cross-posted on the Markkula Center website from AI and Faith with permission. First, Brian, please summarize your background for us, especially as it relates to AI. What, particularly, has drawn you to the topic of ethical AI? I have been working on technology ethics issues, including AI, for about 15 years, starting with my graduate studies at the Graduate Theological Union in Berkeley, where I had a strong focus on biotechnology and ethics.