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Wednesday

  2. SiliconANGLE

    Salesforce Announces $5.66 Billion Acquisition of Marketing Automation Company Braze

    Salesforce announced it will acquire marketing automation company Braze for $5.66 billion in cash, or $47.5 per share, a premium of about 58% over Braze's previous closing price. Braze's revenue grew 26% year over year last quarter to $227.2 million; its platform aggregates customer data through more than 190 prebuilt connectors and offers BrazeAI to automatically generate marketing materials and Agentic Standards to set constraints for AI-generated campaigns. Salesforce plans to use its technology to enhance Marketing Cloud's cross-channel personalization capabilities, and the deal is expected to close in its fiscal year 2028.

    Salesforce announced it will acquire marketing automation company Braze for $5.66 billion in cash, or $47.5 per share, a premium of about 58% over Braze's previous closing price. Braze's revenue grew 26% year over year last quarter to $227.2 million; its platform aggregates customer data through more than 190 prebuilt connectors and offers BrazeAI to automatically generate marketing materials and Agentic Standards to set constraints for AI-generated campaigns. Salesforce plans to use its technol

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    #hot-signal#Industry news#Agents
  3. SiliconANGLE

    Dell CTO John Roese: The key to the AI operating model is not the model, but the enterprise's proprietary knowledge

    Dell Global CTO and Chief AI Officer John Roese said that if enterprises merely deploy AI agents without changing their operating model, they will only be running their business the old way, resulting in a poor experience. Dell has spent nearly two years running fully autonomous agents internally, by having domain experts encode company practices into machine-readable Markdown skill files so that the agents work according to Dell's rules and preferences. Roese emphasized that an enterprise's moat is not the tools or even the models, but this proprietary knowledge, which should therefore stay in-house rather than be handed over to third parties.

    Dell Global CTO and Chief AI Officer John Roese said that if enterprises merely deploy AI agents without changing their operating model, they will only be running their business the old way, resulting in a poor experience. Dell has spent nearly two years running fully autonomous agents internally, by having domain experts encode company practices into machine-readable Markdown skill files so that the agents work according to Dell's rules and preferences. Roese emphasized that an enterprise's moa

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    #hot-signal#English text is being prepared.#Agents
  6. SiliconANGLE

    Otter.ai Raises $320 Million to Fund Its AI Meeting Assistant

    Otter.ai announced it has raised $320 million, with all funding coming from General Catalyst's Customer Value Fund, which takes no equity and instead shares in the revenue it helps generate. Its AI meeting assistant supports speaker-identified transcription, one-page summaries and action items, and can provide files to chatbots such as ChatGPT through an MCP server. The platform has more than 40 million users worldwide and reaches employees at over 86% of Fortune 500 companies.

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    #hot-signal#Industry news#Agents#English text is being prepared.
  9. SiliconANGLE

    Eka Robotics raises $150 million at a $14.5 billion valuation to build robotic hands with a sense of touch

    Eka Robotics has completed a $150 million Series A funding round at a $14.5 billion valuation, led by Andreessen Horowitz and Fidelity's F-Prime. Its vision-force-action model uses force sensors in custom grippers to sense grip strength, allowing it to adjust its hold mid-grasp when an object slips. The robot can pick up about 1,500 objects per hour that are outside its training data, compared with a human baseline of about 600. The gripper costs less than $1,000 and is currently rated for 5 million work cycles; the company aims to raise that to 20 million, the standard for industrial robotic arms.

    Eka Robotics has completed a $150 million Series A funding round at a $14.5 billion valuation, led by Andreessen Horowitz and Fidelity's F-Prime. Its vision-force-action model uses force sensors in custom grippers to sense grip strength, allowing it to adjust its hold mid-grasp when an object slips. The robot can pick up about 1,500 objects per hour that are outside its training data, compared with a human baseline of about 600. The gripper costs less than $1,000 and is currently rated for 5 mil

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    #hot-signal#Industry news#Embodied AI#English text is being prepared.
  12. PyTorch BlogSelected

    Google and Meta jointly launch TorchTPU, enabling PyTorch to run natively on TPUs

    Google and Meta's PyTorch teams have collaborated to launch the open-source project TorchTPU, providing a native PyTorch backend for Google TPUs; migration only requires changing model.to("cuda") to model.to("tpu"). The project supports both eager and torch.compile modes, adds a new DeferAndFuse eager mode, covers about 450 Aten operators, and has been verified to run out of the box on 4,917 Hugging Face models, with a Tier 1 pass rate of 98% and Tier 2 numerical consistency relative to GPUs of 97%. According to the official announcement, it has already been used in the inference and training production workloads of some major Google Cloud customers, and is integrated with vLLM, SGLang, TorchTitan, Ray, and TorchRec.

    Google and Meta's PyTorch teams have collaborated to launch the open-source project TorchTPU, providing a native PyTorch backend for Google TPUs; migration only requires changing model.to("cuda") to model.to("tpu"). The project supports both eager and torch.compile modes, adds a new DeferAndFuse eager mode, covers about 450 Aten operators, and has been verified to run out of the box on 4,917 Hugging Face models, with a Tier 1 pass rate of 98% and Tier 2 numerical consistency relative to GPUs of

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    #engineering#Product updates#Open-source ecosystem#English text is being prepared.

Tuesday

  6. 36Kr · AI

    iFlytek's non-recurring net loss in the first three quarters was 763 million yuan, with its book profit turned positive by subsidies and equity gains

    In the first three quarters, iFlytek's revenue was 18.187 billion yuan, and net profit attributable to shareholders was 21.8872 million yuan, but non-recurring net profit showed a loss of 763 million yuan, more than double the 338 million yuan loss in the same period last year. The book turnaround to positive was mainly due to 471 million yuan in government subsidies, 370 million yuan in equity appreciation of invested companies, and 84 million yuan in asset disposal income, totaling about 785 million yuan. The company's R&D expenses in the first three quarters were 3.850 billion yuan, accounting for more than 21% of revenue, and it attributed the widened non-recurring loss to continued investment in the self-controlled large model route; in public domestic large model tenders in the third quarter, iFlytek ranked first in both the number and amount of bids won.

    In the first three quarters, iFlytek's revenue was 18.187 billion yuan, and net profit attributable to shareholders was 21.8872 million yuan, but non-recurring net profit showed a loss of 763 million yuan, more than double the 338 million yuan loss in the same period last year. The book turnaround to positive was mainly due to 471 million yuan in government subsidies, 370 million yuan in equity appreciation of invested companies, and 84 million yuan in asset disposal income, totaling about 785 m

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    #hot-signal#Industry news#English text is being prepared.#English text is being prepared.