AI Modeling AI Research AI Strategy 
AI News
MARCH 20, 2025
million public models across various sectors and serves seven million users, proposes an AI Action Plan centred on three interconnected pillars: Hugging Face stresses the importance of strengthening open-source AI ecosystems. The company prioritises efficient and reliable adoption of AI. Hugging Face, which hosts over 1.5
Unite.AI
FEBRUARY 15, 2024
Ramprakash Ramamoorthy, is the Head of AI Research at ManageEngine , the enterprise IT management division of Zoho Corp. As the director of AI Research at Zoho & ManageEngine, what does your average workday look like? I frequently engage with analysts and participate in various forums to evangelize our AI strategy.
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AI News
JULY 21, 2023
In a shift from his previous hands-off approach, Google co-founder Sergey Brin has been actively involved in the company’s AI endeavours. Brin has been particularly focusing on the development of Google’s next-generation AI model, Gemini. Image Credit: Thomas Hawk under CC BY-NC 2.0
AI Weekly
JULY 20, 2023
This capability, made possible through Optical Character Recognition (OCR), is now within your grasp, geeky-gadgets.com MLCommons launches a new platform to benchmark AI medical models With the pandemic acting as an accelerant, the healthcare industry is embracing AI enthusiastically. dataversity.net Is AI advancing too quickly?
Unite.AI
JULY 10, 2024
AMD has made a big move to strengthen its position in the AI space by buying Silo AI , Europe’s largest private AI lab. The $665m deal is a key part of AMD’s AI push. Silo AI was founded in 2017 and is based in Helsinki, Finland. Deal Details The all-cash deal is a big investment for AMD.
TheSequence
JUNE 23, 2024
📝 Editorial: Beyond OpenAI: Apple’s On-Device AI Strategy The partnership between Apple and OpenAI dominated the headlines of the recent WWDC conference and sparked passionate debates within the AI community. Thinking that Apple’s AI strategy is dependent on the partnership with OpenAI would be a mistake.
Unite.AI
OCTOBER 10, 2024
Building and operating these models requires high-end hardware, such as GPUs and TPUs, which are essential for training large AI models. Additionally, the storage and processing power required to handle vast datasets for model training further increases operational costs.
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