DeepMind's Losses and the Future of Artificial Intelligence

#artificialintelligence

Alphabet's DeepMind lost $572 million last year. DeepMind, likely the world's largest research-focused artificial intelligence operation, is losing a lot of money fast, more than $1 billion in the past three years. DeepMind also has more than $1 billion in debt due in the next 12 months. Does this mean that AI is falling apart? Gary Marcus is founder and CEO of Robust.AI and a professor of psychology and neural science at NYU.


DeepMind's Losses and the Future of Artificial Intelligence

#artificialintelligence

Alphabet's DeepMind lost $572 million last year. DeepMind, likely the world's largest research-focused artificial intelligence operation, is losing a lot of money fast, more than $1 billion in the past three years. DeepMind also has more than $1 billion in debt due in the next 12 months. Does this mean that AI is falling apart? Gary Marcus is founder and CEO of Robust.AI and a professor of psychology and neural science at NYU.


How the "bigger is better" mentality damages AI research

#artificialintelligence

Something you'll hear a lot is that the increasing availability of compute resources has paved the way for important advances in artificial intelligence. With access to powerful cloud computing platforms, AI researchers have been able to train larger neural networks in shorter timespans. This has enabled AI to make inroads in many fields such as computer vision, speech recognition, and natural language processing. But what you'll hear less is the darker implications of the current direction of AI research. Currently, advances in AI is mostly tied to scaling deep learning models and creating neural networks with more layers and parameters.


DeepMind's AlphaStar Final beats 99.8% of human StarCraft 2 players

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DeepMind says this latest iteration of AlphaStar -- AlphaStar Final -- can play a full StarCraft 2 match under "professionally approved" conditions, importantly with limits on the frequency of its actions and by viewing the world through a game camera. It plays on the official StarCraft 2 Battle.net "StarCraft has been a grand challenge for AI researchers for over 15 years, so it's hugely exciting to see this work recognized in Nature," said DeepMind cofounder and CEO Demis Hassabis. "These impressive results mark an important step forward in our mission to create intelligent systems that will accelerate scientific discovery." DeepMind's forays into competitive StarCraft play can be traced back to 2017, when the company worked with Blizzard to release an open source tool set containing anonymized match replays.


How the 'bigger is better' mentality is damaging AI research

#artificialintelligence

Something you'll hear a lot is that the increasing availability of computing resources has paved the way for important advances in artificial intelligence. With access to powerful cloud computing platforms, AI researchers have been able to train larger neural networks in shorter timespans. This has enabled AI to make inroads in many fields such as computer vision, speech recognition, and natural language processing. But what you'll hear less is the darker implications of the current direction of AI research. Currently, advances in AI are mostly tied to scaling deep learning models and creating neural networks with more layers and parameters.