In the News
Could we wake up one morning dumbstruck that a super-powerful AI has emerged, with disastrous consequences?
It’s better to ask a more concrete, empirical question: What would alert us that superintelligence is indeed around the corner?
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In The News
In 1997, at the height of his powers, Kasparov was crushed and cowed by an IBM supercomputer called Deep Blue.
The video begins, “Say hello to the all-new Echo” and explains that the Echo will connect to Alexa (the artificial intelligence agent) in order to “play music, call friends and family, control smart home devices, and more.”
The aspiration of machine ethics is to build artificial moral agents, which are artificial agents with ethical capacities and thus can make ethical decisions without human intervention.
Police are using artificial intelligence to predict which youngsters could be drawn into violent crime, in a major government-funded trial.
Here European research has an important advantage: since the early AI days, European researchers have excelled in a variety of approaches to design and verify artificially intelligent systems.
Applied use cases
Inspired by the functioning of the human brain and based on a biological mechanism called neuromodulation, it allows intelligent agents to adapt to unknown situations Artificial Intelligence (AI) has enabled the development of high-performance automatic learning techniques in recent years.
In other words, don’t blame the algorithm: AI and machine learning won’t fix our tech bias problem when they are inherently biased because of how it was designed, and by whom.
· 16% of global B2C marketing decision makers planned to increase spending on data and analytics technologies, including AI, by 10% or more this year.
Try Hyperloop, rocket travel, and robotic avatars.
Hyperloop is currently working towards 670 mph (1080 kph) passenger pods, capable of zipping us from Los Angeles to downtown Las Vegas in under 30 minutes.
In the late 2000s, researchers at the University of Tehran produced a simple humanoid robot — or android — named Surena.
Now the Iranian roboticists have completed Surena IV, a leap above its predecessors.
It’s also a naïve and outdated metaphor, one she is challenging with a new exhibition at San Francisco’s de Young Museum, called Uncanny Valley, that opens on February 22.
Joseph Redmon, creator of the popular object detection algorithm YOLO (You Only Look Once), tweeted last week that he had ceased his computer vision research to avoid enabling potential misuse of the tech
Generative vs Contrastive Methods Contemporary self-supervised learning methods can roughly be broken down into two classes of methods: Loss measured in the output space Examples: Colorization…
Hot Topics of the 2010s: Deep Reinforcement Learning, Meta-Learning, World Models, Distilling NNs, Neural Architecture Search, Attention Learning, Fast Weights, Self-Invented Problems …