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Google and the Massachusetts AI Hub are launching a new AI training initiative for the Commonwealth.

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27 2 月, 2026
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Google is partnering with the Massachusetts AI Hub to provide every Baystater with no-cost access to Google’s AI training.

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2 6 月, 2026
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Alibaba’s Qwen Team Launches Qwen3.7-Plus, Adding Vision, Deep Reasoning, Tool Invocation, and Autonomous Iteration on the Bailian Platform

Alibaba’s Qwen team has releas…

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2 6 月, 2026
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JetBrains Releases Mellum2: A 12B MoE Model for Fast, Specialized Tasks in Multi-Model AI Pipelines

JetBrains released Mellum2, op…

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Alibaba’s Qwen Team Launches Qwen3.7-Plus, Adding Vision, Deep Reasoning, Tool Invocation, and Autonomous Iteration on the Bailian Platform

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2 6 月, 2026

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JetBrains Releases Mellum2: A 12B MoE Model for Fast, Specialized Tasks in Multi-Model AI Pipelines

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How to Speed Up Transformer Training Using NVIDIA Apex (FusedAdam, FusedLayerNorm) and Native torch.amp

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MiniMax Releases MiniMax M3 with MSA Architecture Supporting 1M-Token Context, Native Multimodality, and Agentic Coding

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Meet Memory OS: A 6-Layer Open-Source Memory Stack Built on Top of Hermes Agent

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How we used Gemini to build Google I/O 2026

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2 6 月, 2026

AI日报汇

AI日报汇

Google and the Massachusetts AI Hub are launching a new AI training initiative for the Commonwealth.

Google and the Massachusetts AI Hub are launching a new AI training initiative for the Commonwealth.

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Alibaba’s Qwen Team Launches Qwen3.7-Plus, Adding Vision, Deep Reasoning, Tool Invocation, and Autonomous Iteration on the Bailian Platform

JetBrains Releases Mellum2: A 12B MoE Model for Fast, Specialized Tasks in Multi-Model AI Pipelines

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Alibaba’s Qwen Team Launches Qwen3.7-Plus, Adding Vision, Deep Reasoning, Tool Invocation, and Autonomous Iteration on the Bailian Platform

JetBrains Releases Mellum2: A 12B MoE Model for Fast, Specialized Tasks in Multi-Model AI Pipelines

How to Speed Up Transformer Training Using NVIDIA Apex (FusedAdam, FusedLayerNorm) and Native torch.amp

MiniMax Releases MiniMax M3 with MSA Architecture Supporting 1M-Token Context, Native Multimodality, and Agentic Coding

Meet Memory OS: A 6-Layer Open-Source Memory Stack Built on Top of Hermes Agent

How we used Gemini to build Google I/O 2026

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