Dreams are, for the most part, delightful. As we sleep, visual and audio fragments combine into nonsensical snippets and epic narratives. Loosely recalled moments merge with vivid, imagined scenes; we interact with characters known and characters conjured up; we explore our fantasies and, sometimes, face our fears. Yet sleeping and dreaming do not exist for our nocturnal pleasure alone. As we slumber, our brains filter information collected in waking hours.

Nov 04, 2019 (Investing Alerts) -- Artificial Intelligence (AI) has been a game changer for global businesses, opening doors to innumerable possibilities. With the integration of AI in businesses, the global economy is expected to grow exponentially in the coming years. Although the introduction of AI into business strategies is considered a revolutionary idea, what most business executives struggle with is the proper application of AI throughout their organization in such a way that it generates maximum ROI and value. This gives rise of several questions, "How do we educate our staff about AIs? How can we acquire AI-trained employees? What is the most suitable AI strategy for our business? How do we certify our AI is trustworthy? Will there be new privacy and cybersecurity threats to deal with?".

Nov 04, 2019 (Investing Alerts) -- Artificial Intelligence (AI) has been a game changer for global businesses, opening doors to innumerable possibilities. With the integration of AI in businesses, the global economy is expected to grow exponentially in the coming years. Although the introduction of AI into business strategies is considered a revolutionary idea, what most business executives struggle with is the proper application of AI throughout their organization in such a way that it generates maximum ROI and value. This gives rise of several questions, "How do we educate our staff about AIs? How can we acquire AI-trained employees? What is the most suitable AI strategy for our business? How do we certify our AI is trustworthy? Will there be new privacy and cybersecurity threats to deal with?".

This post is co-authored by Tina Coll, Senior Product Marketing Manager, Azure Cognitive Services and Anny Dow, Product Marketing Manager, Azure Cognitive Services. Azure Cognitive Services brings artificial intelligence (AI) within reach of every developer without requiring machine learning expertise. All it takes is an API call to embed the ability to see, hear, speak, understand, and accelerate decision-making into your apps. Enterprises have taken these pre-built and custom AI capabilities to deliver more engaging and personalized intelligent experiences. We're continuing the momentum from Microsoft Build 2019 by making Personalizer generally available, and introducing additional advanced capabilities in Vision, Speech, and Language categories.

Artificial intelligence should respect human rights, diversity and privacy -- while being a far cry from Terminator-style robots -- according to new federal ethics guidelines. Technology Minister Karen Andrews will today release an eight-point guidance she wants companies to adopt in a bid to prevent people from being exploited. The guidelines stipulate all AI should benefit individuals, society and the environment. It should prevent discrimination, respect privacy and only operate in accordance with their intended purpose. The guidelines also recommend human oversight of AI always be enabled and there should be timely processes to allow people to challenge the use or output of information.

In late 2018, Amazon discontinued the use of their AI-based recruitment system because they found that it was biased against women. According to sources close to the matter, the tool gave low ratings to resumes with the terms "woman" or "women's" in applications for technical roles, and went as far as downgrading applicants from two all-women's colleges. This problem is not new. In 2003, the National Bureau of Economic Growth (NBER) conducted an experiment to track the presence of racial bias in hiring. In the test, they sent out two sets of fictitious resumes with identical information about education and experience.

The B-52 will be armed with long-range, nuclear cruise missiles… the B-2 will elude the most modern air defenses and the B-1B bomber will fire hypersonic weapons -- if the Air Force's plan for the next several decades comes to fruition. Air Force weapons developers are immersed in an intricate plan to bring the service's bomber fleet into future decades -- by adding weapons, avionics and networking technologies to current aircraft and moving quickly to bring new B-21 bombers to the force. The current thinking is centered upon methods of compensating for what service leaders identify as a "bomber deficit," and therefore finding ways to maximize the performance of the aircraft it has in the inventory. "There are only 156 allied bombers and they all belong to us. We are working on the growth of a requirement for long-range strike," Gen. Timothy Ray, Commander of Global Strike Command, told reporters at the Air Force Association Air, Space and Cyber Conference in September.

Accurate simulation of cancer-implicated proteins holds enormous promise for basic biomedical science and development of effective therapies, but the high computational cost required has long slowed progress. Recently a multi-institution research team developed a machine learning-based simulation for next-generation supercomputers capable of modeling protein interactions and mutations that play a role in many forms of cancer. Their work on simulating the RAS protein family will be published at SC19 and is a finalist for the Best Paper award. RAS proteins are implicated in roughly one third of cancers, and research to obtain a more detailed understanding of how they interact with the cell's lipid membranes and influence signaling pathways has long been pursued. One way to shortcut the simulations needed and to reduce the computational cost is to use ML to zoom in on areas of interest.

A Happy Meal and AI might not be the most obvious pairing but 2019 has seen McDonald's hit the headlines for its fast-paced investments in tech. In March, it acquired online personalisation startup Dynamic Yield for more than £232.8m This sparked a series of acquisitions, paving the way for what seems like the beginning of a journey for the iconic fast food chain to become the Amazon of food. A month later, it bought a 9.9% stake in mobile software company Plexure in a deal valued at about £3.8m, according to reports. The New Zealand-based company already helps with McDonald's mobile app but this surge of investment will see the chain have unprecedented access to Plexure's new tech for its app.

Testing specialists Applause have debuted an AI solution promising to help tackle algorithmic bias while providing the scale of data needed for robust training. Applause has built a vast global community of testers for its app testing solution which is trusted by brands including Google, Uber, PayPal, and more. The company is leveraging this relatively unique asset to help overcome some of the biggest hurdles facing AI development. AI News spoke with Kristin Simonini, VP of Product at Applause, about the company's new solution and what it means for the industry ahead of her keynote at AI Expo North America later this month. "Our customers have been needing additional support from us in the area of data collection to support their AI developments, train their system, and then test the functionality," explains Simonini.