See the full list of nominees and winners from the 98th Academy Awards, Hollywood's biggest night.

But, Google has its own contender, LaMDA. It is only available to a closed set of testers, but it could be a serious contender in the AI Language Model race. Click on the article above to learn more! Come back here for all the latest Artificial Intelligence News.

In the world of artificial intelligence, there are two major approaches that researchers and developers use to create intelligent systems: machine learning and deep learning. Let's take a closer look at each one to find out. Machine learning is a method of teaching computers to learn from data without being explicitly programmed. In other words, it's a way of getting computers to learn on their own by building algorithms that can automatically detect patterns in data. This approach is extremely powerful and can be used to solve all sorts of problems, from facial recognition to fraud detection.

Miniaturization has revolutionized computing ever since the advent of the first digital computer. The machines that once filled entire rooms and required teams of engineers to operate are now vastly dwarfed in capability by the smartphones that we carry in our pockets. Now that trend towards miniaturization is transforming the field of machine learning as well. Image and voice recognition, object detection, predictive maintenance, and many other applications that once required complex algorithms that run on huge computing resources in the cloud can now run on a tiny microcontroller in a low-power IoT device. In part, these feats have been achieved with the help of advances in computing power that were previously mentioned, but that alone is not enough.

The world around us is full of arguments and evidence for the benefit of artificial intelligence (AI) in our daily lives. But the specter of AI threats looms large in today's world. While there's plenty of fear around the future of human-level AI, there's debate over whether AI today is truly working in our best interest. But what many people don't know is that AI is already being used by cybercriminals to attack them at scale with cyber threats, like cognitive attacks, that are only possible with AI. One of the greatest threats that AI represents today is how it can be abused by cybercriminals, specifically in its capability to deceive people and trick them into engaging in actions with unwanted or underestimated consequences.

As the world fights climate change, will the increasingly widespread use of artificial intelligence (AI) be a help or a hindrance? In a paper published this week in Nature Climate Change, a team of experts in AI, climate change, and public policy present a framework for understanding the complex and multifaceted relationship of AI with greenhouse gas emissions, and suggest ways to better align AI with climate change goals. "AI affects the climate in many ways, both positive and negative, and most of these effects are poorly quantified," said David Rolnick, Assistant Professor of Computer Science at McGill University and a Core Academic Member of Mila – Quebec AI Institute, who co-authored the paper. "For example, AI is being used to track and reduce deforestation, but AI-based advertising systems are likely making climate change worse by increasing the amount that people buy." The paper divides the impacts of AI on greenhouse gas emissions into three categories: 1) Impacts from the computational energy and hardware used to develop, train, and run AI algorithms, 2) immediate impacts caused by the applications of AI - such as optimizing energy use in buildings (which decreases emissions) or accelerating fossil fuel exploration (which increases emissions), and 3) system-level impacts caused by the ways in which AI applications affect behaviour patterns and society more broadly, such as via advertising systems and self-driving cars.

Where were you on the day of the world's first giant robot duel? Maybe you were working at your desk, brushing your teeth, labouring over your tax return, ironing the perfect pleat in tomorrow's pants. Meanwhile, giant robots were chainsawing other to shreds in a Japanese shed. SEE ALSO: Robotics expert Dr. Ross Mead reveals the truth about your favorite movie robots The world's first giant combat robot duel just happened on Tuesday, Oct. 17, pitting America and Japan against each other in a Twitch-livestreamed battle for the ages. Representing the United States, two epic robots from MegaBots Inc., founded by Matt Oehrlein and Gui Cavalcanti.

Andrew Ng, a computer scientist and co-founder of Coursera, says innovations in artificial intelligence will both create great wealth and raise ethical challenges if we want not just a wealthier society "but also a fairer society." This segment is part of a special series of video highlights from the ASU GSV Summit produced by The Chronicle. Scott Carlson is a senior writer who covers the cost and value of college.