By now, we’re all aware of the danger deepfakes pose. These AI-generated videos of real looking people saying false things are regularly cited as one ofthe future’s biggest security concerns. And, rightly or wrongly,people are scared. But… that can’t be all there is to them, right? By its very nature, technology is neither good or bad — it’s merely a tool. Yes, deepfakes can be used to spread rampant misinformation, but what about the other side?...
In their decades-long chase to create artificial intelligence, computer scientists have designed and developed all kinds of complicated mechanisms and technologies to replicate vision, language, reasoning, motor skills, and other abilities associated with intelligent life. While these efforts have resulted in AI systems that can efficiently solve specific problems in limited environments, they fall short of developing the kind of general intelligence seen in humans and animals. In a new paper submitted to the peer-reviewedArtificial Intelligencejournal, scientists atUK-based AI lab DeepMindargue that intelligence and its associated abilities will emerge not from formulating and solving complicated problems but by sticking to a simple but powerful principle: reward maximization....
Did you knowNeural is taking the stage this fall? Together with an amazing line-up of experts, we will explore the future of AI during TNW Conference 2021.Secure your ticket now! Opening the black box. Reducing the massive power consumption it takes to train deep learning models. Unlocking the secret to sentience. These are among the loftiest outstanding problems in artificial intelligence. Whoever has the talent and budget to solve them will be handsomely rewarded with gobs and gobs of money....
DeepMind’s mounting losses show why it’s hard to run an AI research lab DeepMind’s profits and losses According to itsannual reportfiled with the UK’s Companies House register, DeepMind has more than doubled its revenue, raking in £266 million in 2019, up from £103 million in 2018. But the company’s expenses continue to grow as well, increasing from £568 million in 2018 to £717 in 2019. The overall losses of the company grew from £470 million in 2018 to £477 million in 2019....
Move over GPT-3, there’s a scrappy new contender for the crown ofworld’s greatest language modeland it’s from our old pals over at DeepMind. Up front:The Alphabet-owned UK outfit that answered the question of whether humans or computers are better at chess once and for all –the machines won– has now set its sights on the world of large language models (LLM). To that end, today it announced “Gopher,” a language model that’s about 60% larger, parameter-wise, than GPT-3 and a little over a quarter of the size ofGoogle’s massive trillion-parameter LLM....
