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AI & Enterprise

KAIST develops technology to cut AI fine-tuning time by up to 69.6 percent

Researchers at the Korea Advanced Institute of Science and Technology (KAIST) developed a technique that can cut additional training time for AI models by up to 69.6 percent while largely maintaining performance. KAIST said the method, called CluSTER, selects data with similar training effects and distributes it efficiently across multiple graphics processing units. Tests using coding and medical datasets showed the approach maintained performance using about 31 percent of data.

Crypto

XRP above $1.30 could trigger short squeeze as $617.7 million liquidation zone looms

XRP could see a chain reaction of short liquidations worth about $617.7 million if it breaks through the $1.30 to $1.31 range, according to an analysis. Data based on a CoinGlass liquidation heatmap for Binance’s XRP/USDT derivatives market show concentrated liquidation levels just above the current price. The analysis also points to larger potential liquidation zones around $1.35 and higher, while noting estimates may differ from actual figures and technical resistance could slow gains.

Industry

Lotte Chemical to help five social ventures commercialise recycled plastic products

Lotte Chemical has selected five social ventures to help turn recycled plastic materials into products. The company said it held an agreement ceremony for the fifth round of its Project LOOP Social programme at its headquarters in Seoul on Oct. 29. The selected companies will receive support to expand their businesses into circular economy models, including implementation funding, expert mentoring, accelerating programmes, online courses and help building sales channels.