クアルコムがPrismMLと提携し、1ビットのBonsaiを発表：AIメガネでオフラインで画像認識、メモリ使用量を4分の1に抑える
2026年Snapdragon Summitで、QualcommとPrismMLはSnapdragon AR1 Gen 1スマートグラス上で20億パラメータの1ビット量子化Bonsai視覚モデルをローカル実行し、オフライン画像認識Q&Aを実現。Bonsai 1.7Bを1ビットに圧縮し、メモリ使用量は4ビットモデルの1/4、同等メモリで約4倍のパラメータを格納可能。保存・推論リソースを大幅削減。....
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