Acquisition

Zuckerberg: “DeepMind, which negotiated acquisition 10 years ago, used me as a betting card”

https://www.youtube.com/watch?v=02fBBoZa9l4 Mark Zuckerberg, CEO of Meta, revealed that Google tried to accumulate DeepMind 10 years ago. Nevertheless, DeepMind CEO Demis Hassabis revealed that he only used it as a staking card to get good terms...

Canva Expands AI Capabilities with Acquisition of Leonardo.ai

Canva has announced its acquisition of Leonardo.ai, an Australian generative AI startup. This strategic purchase positions Canva to compete more aggressively within the rapidly evolving marketplace for AI-enhanced design platforms.The acquisition of Leonardo.ai represents...

AMD Strengthens AI Position with $665 Million Acquisition of Silo AI

AMD has made an enormous move to strengthen its position within the AI space by buying Silo AI, Europe’s largest private AI lab. The $665m deal is a key a part of AMD’s AI...

Airbnb plans to make use of AI, including its GamePlanner acquisition, to create the ‘ultimate concierge’

In November, Airbnb acquired a stealth AI firm launched by Siri’s co-founder, called GamePlanner.AI. The deal valued the secretive startup at around $200 million, in response to reports. Though the hosting company didn’t telegraph...

AMD’s Strategic Play: Acquisition of Nod.ai to Challenge Nvidia’s Dominance

Because the AI industry continues its exponential growth, the competition for dominance within the hardware sector intensifies. AMD, a pivotal player within the microprocessor and graphics processor market, has taken a big step towards...

Databricks Snaps Up MosaicML in a Stunning $1.3 Billion Acquisition

Databricks, a number one data analytics platform, is acquiring MosaicML, a machine learning (ML) startup, in a staggering deal price $1.3 billion. The announcement got here as a surprise to many within the tech...

Empowering Efficient BO Transfer with Neural Acquisition Process (NAP) General Objectives & Results: From Bayesian Optimisation to Meta-Bayesian Optimisation: Neural Acquisition Processes (NAP): Cool Properties:

Our primary objective is to reinforce the effectiveness of Bayesian Optimisation (BO) by leveraging meta-learning to transfer knowledge across different problem domains, thereby significantly improving sample efficiency.In pursuit of this goal, we introduce the...

Empowering Efficient BO Transfer with Neural Acquisition Process (NAP) General Objectives & Results: From Bayesian Optimisation to Meta-Bayesian Optimisation: Neural Acquisition Processes (NAP): Cool Properties:

Our primary objective is to boost the effectiveness of Bayesian Optimisation (BO) by leveraging meta-learning to transfer knowledge across different problem domains, thereby significantly improving sample efficiency.In pursuit of this goal, we introduce the...

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