Nvidia AI chips win MLPerf training benchmark tests
Nvidia announced that it won all of the MLPerf training benchmark tests thanks to the performance of its Blackwell Ultra chips with NVFP4. In...
Liftoff launches Cortex, a machine-learning model that improves mobile ads
Mobile growth acceleration platform Liftoff announced today it’s launching a new machine learning platform called Cortex. This next-gen platform uses tailored neural network models...
Skillprint launches science-backed platform to match players with the right skill-based games
Skillprint has launched a platform that uses science to figure out how to match players with the games they will likely enjoy and the...
Modl.ai raises $8.4M to develop AI-driven play testing and QA bots
Danish startup Modl.ai has raised $8.4 million (or €8.5 million) in a series A funding. The round was lead by Griffin Gaming Partners and...
DeepMind makes bet on AI system that can play poker, chess, Go, and more
DeepMind, the AI lab backed by Google parent company Alphabet, has long invested in game-playing AI systems. It’s the lab’s philosophy that games, while...
Reinforcement learning improves game testing, AI team finds
As game worlds grow more vast and complex, making sure they are playable and bug-free is becoming increasingly difficult for developers. And gaming companies...
Facebook Gaming expands streamers’ access to licensed music
Facebook Gaming is expanding streamers’ access to a library of licensed music that will enable them to play tunes while streaming gameplay. And they...
Detecting 10 times more bots and stopping fraud with behavioral biometrics
Bots and fraud occur in every app, and in every vertical, said Alon Dayan, Founder and CEO, Unbotify. “In games online, this is a...
DeepMind’s MuZero picks up the rules of games as it plays
In a paper published in the journal Science late last year, Google parent company Alphabet’s DeepMind detailed AlphaZero, an AI system that could teach itself...
OpenAI proposes using reciprocity to encourage AI agents to work together
Many real-world problems require complex coordination between multiple agents — e.g., people or algorithms. A machine learning technique called multi-agent reinforcement learning (MARL) has...