Goto

Collaborating Authors

 real world challenge


Join Arm and Neuton.AI for our AI Tech Talk on September 20: How an 18-year-old is solving real world challenges using AI on Arm. Secure your place today!

#artificialintelligence

Farmers worldwide face the problem of improper storage and transportation of agrochemicals, which leads to many harmful side effects. Sumit's goal was to bring a secure, decentralized, tamper-proof blockchain ledger with a secure authentication device protocol to streamline all manufacturers' and logistics data. His solution was developed by creating a tiny machine learning model with Neuton.AI and embedding it into an Arm MCU. Arm and Neuton.AI's goal is to democratize AI and enable developers to solve real-world problems and use AI for good. Join this talk to learn more about how you can get started!


No more playing games: AlphaGo AI to tackle some real world challenges

Robohub

Humankind lost another important battle with artificial intelligence (AI) last month when AlphaGo beat the world's leading Go player Ke Jie by three games to zero. AlphaGo is an AI program developed by DeepMind, part of Google's parent company Alphabet. Last year it beat another leading player, Lee Se-dol, by four games to one, but since then AlphaGo has substantially improved. AlphaGo will now retire from playing Go, leaving behind a legacy of games played against itself. They've been described by one Go expert as like "games from far in the future", which humans will study for years to improve their own play.


No more playing games: AlphaGo AI to tackle some real world challenges

#artificialintelligence

Humankind lost another important battle with artificial intelligence (AI) last month, when AlphaGo beat the world's leading Go player Kie Je by three games to zero. AlphaGo is an AI program developed by DeepMind, part of Google's parent company Alphabet. Last year it beat another leading player, Lee Se-dol, by four games to one, but since then AlphaGo has substantially improved. AlphaGo will now retire from playing Go, leaving behind a legacy of games played against itself. They've been described by one Go expert as like "games from far in the future", which humans will study for years to improve their own play.