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Apple has acquired the Paris-based artificial intelligence (AI) startup Datakalab. This acquisition is expected to help the Cupertino-based tech giant bring on-device AI tools to its iPhone 16 models which are expected to launch in September.
However, before that, the company is rumoured to showcase these new AI features with the introduction of its iOS 18 operating system. The iPhone maker is likely to launch its next-gen iPhone operating system during its annual developer conference, WWDC 2024, which is set to be held starting June 10.
Recently Bloomberg’s Mark Gurman also reported that unlike other major AI services that runs via cloud, Apple will offer tools that only through on-device data processing.
How Datakalab may help bring AI features to iPhonesDatakalab specialises in algorithm compression and embedded AI systems. According to a report by MacRumors, the acquisition was finalised in December 2023. The report claims that Apple confirmed this acquisition in a European Commission filing (French publications Challenges and iPhoneSoft spotted).
In 2016, Xavier and Lucas Fischer established Datakalab and worked on AI technology focusing on low-power, high-efficiency deep learning algorithms. These algorithms function without relying on cloud-based systems.
Before its acquisition, Datakalab worked with high-profile projects, including collaborations with the French government and Disney.
The company developed technology that can analyse human emotions by facial recognition and visual data. This data was later used to monitor audience reactions in real time during cinema screenings.
The startup’s expertise in compressing neural networks to work effectively on portable devices like smartphones and tablets is likely a key factor in Apple’s interest.
The report didn’t confirm the financial details of the transaction but suggests that the move is surely a part of Apple’s broader strategy to bring more sophisticated AI technology to its devices. It includes the ones that are expected to be introduced in iOS 18.
The on-device data processing approach aligns with Apple’s commitment to user privacy, data security and reliable performance. By processing data locally, the company can minimise the risk of data breaches and ensure faster processing times.
However, before that, the company is rumoured to showcase these new AI features with the introduction of its iOS 18 operating system. The iPhone maker is likely to launch its next-gen iPhone operating system during its annual developer conference, WWDC 2024, which is set to be held starting June 10.
Recently Bloomberg’s Mark Gurman also reported that unlike other major AI services that runs via cloud, Apple will offer tools that only through on-device data processing.
How Datakalab may help bring AI features to iPhonesDatakalab specialises in algorithm compression and embedded AI systems. According to a report by MacRumors, the acquisition was finalised in December 2023. The report claims that Apple confirmed this acquisition in a European Commission filing (French publications Challenges and iPhoneSoft spotted).
In 2016, Xavier and Lucas Fischer established Datakalab and worked on AI technology focusing on low-power, high-efficiency deep learning algorithms. These algorithms function without relying on cloud-based systems.
Before its acquisition, Datakalab worked with high-profile projects, including collaborations with the French government and Disney.
The company developed technology that can analyse human emotions by facial recognition and visual data. This data was later used to monitor audience reactions in real time during cinema screenings.
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The startup’s expertise in compressing neural networks to work effectively on portable devices like smartphones and tablets is likely a key factor in Apple’s interest.
The report didn’t confirm the financial details of the transaction but suggests that the move is surely a part of Apple’s broader strategy to bring more sophisticated AI technology to its devices. It includes the ones that are expected to be introduced in iOS 18.
The on-device data processing approach aligns with Apple’s commitment to user privacy, data security and reliable performance. By processing data locally, the company can minimise the risk of data breaches and ensure faster processing times.
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