- Also known as deep neural networks, the AI involves throwing massive amounts of data at a neural network to train the system to understand things like speech and images.
- Gamalon, a new startup coming out of stealth on Tuesday, claims it’s developed an AI technique that requires training the system on only a few pieces data while achieving the same levels of accuracy as the exhaustively-trained neural networks.
- By reducing the amount of training data, this also reduces the ridiculous amounts of computing power required by deep learning systems.
- “It’s going to get worse training deep learning models,” Gamalon founder and CEO Ben Vigoda said.
- Gamalon has pitted its techniques in image recognition against Google’s TensorFlow using the tech giant’s deep learning-powered “Quick, Draw” program.
Deep learning, a branch of AI, has blown up in the tech industry, but new AI systems are coming online that promise big bumps in efficiency.
@ForbesTech: This startup has developed a new AI that can sometimes even beat Google
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