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LATEST

OCBC, UOB post higher Q2 profit on stronger fee income●Yen Surrenders Nearly Half Its Gains from US-Japan Intervention●Meta ordered to pay $567 million into abatement fund as remedy to child harms case in New Mexico●Crypto market maker Wintermute launches US broker-dealer●A 'weaponized' yen: How the U.S.-Japan intervention may reshape global currency markets●Japan's April yen-buying intervention sets fresh daily record●Weekly Expiry: Sensex mirrors Nifty's swings, but with milder spurts●Gold’s price potential still ‘explosive’ amid Beijing hoarding, Hong Kong trading push●OCBC, UOB post higher Q2 profit on stronger fee income●Yen Surrenders Nearly Half Its Gains from US-Japan Intervention●Meta ordered to pay $567 million into abatement fund as remedy to child harms case in New Mexico●Crypto market maker Wintermute launches US broker-dealer●A 'weaponized' yen: How the U.S.-Japan intervention may reshape global currency markets●Japan's April yen-buying intervention sets fresh daily record●Weekly Expiry: Sensex mirrors Nifty's swings, but with milder spurts●Gold’s price potential still ‘explosive’ amid Beijing hoarding, Hong Kong trading push●

Deals & M&A

No cloud, no GPUs, no problem: Liquid AI's new model LFM2.5-2.6B brings powerful AI agents to devices as small as a Raspberry Pi

VentureBeat · 1h ago

No cloud, no GPUs, no problem: Liquid AI's new model LFM2.5-2.6B brings powerful AI agents to devices as small as a Raspberry Pi

Earlier this week, the AI startup Liquid, formed in 2023 by former MIT computer scientists, debuted LFM2.5-2.6B , a new open-weight language model designed specifically for agentic workloads. In release materials and a recent interview with VentureBeat, Liquid's researchers said LFM2.5-2.6B can run entirely on local hardware — from smartphones and laptops down to a Raspberry Pi — without relying on cloud inference or GPUs, unlocking edge AI applications and giving more options to enterprises working in regulated industries or with sensitive information they don't want to send up to t

Read the full story at VentureBeat →

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