Nvidia Weighs Expanding H200 AI Chip Production as China Demand Surges 
Fortescue Expands Copper Portfolio With Full Takeover of Alta Copper 
Mizuho Raises Broadcom Price Target to $450 on Surging AI Chip Demand 
SpaceX Begins IPO Preparations as Wall Street Banks Line Up for Advisory Roles 
iRobot Files for Chapter 11 Bankruptcy Amid Rising Competition and Tariff Pressures 
Coca-Cola’s Proposed Sale of Costa Coffee Faces Uncertainty Amid Price Dispute 
ANZ Faces Legal Battle as Former CEO Shayne Elliott Sues Over A$13.5 Million Bonus Dispute 
SoftBank Shares Slide as Oracle’s AI Spending Plans Fuel Market Jitters 
Intel’s Testing of China-Linked Chipmaking Tools Raises U.S. National Security Concerns 
SK Hynix Considers U.S. ADR Listing to Boost Shareholder Value Amid Rising AI Chip Demand 
Coca-Cola’s Costa Coffee Sale Faces Uncertainty as Talks With TDR Capital Hit Snag 
SK Hynix Shares Surge on Hopes for Upcoming ADR Issuance 
Trello Outage Disrupts Users as Access Issues Hit Atlassian’s Work Management Platform 
EssilorLuxottica Bets on AI-Powered Smart Glasses as Competition Intensifies 
China Adds Domestic AI Chips to Government Procurement List as U.S. Considers Easing Nvidia Export Curbs 
Trump’s Approval of AI Chip Sales to China Triggers Bipartisan National Security Concerns 
Apple has acquired Datakalab, a French AI firm specializing in on-device processing, aligning with its commitment to enhance privacy and data security. The acquisition underscores Apple's strategy to integrate advanced AI capabilities directly into its devices.
Apple Acquires Datakalab to Enhance On-Device AI, Aligning with Privacy Commitments
Datakalab specializes in algorithm compression and embedded artificial intelligence systems. The acquisition, completed on December 17 of last year, was quietly carried out but was recorded in a European Commission file discovered by the French journal Challenges, as per iPhoneSoft.
While the financial details of the sale are unknown, the move is almost probably part of Apple's larger aim to bring more advanced AI capabilities to its devices, such as those set to debut with iOS 18.
The firm was founded in 2016 by Xavier and Lucas Fischer and has achieved substantial advances in AI technology, focusing on low-power. These high-efficiency deep learning algorithms do not rely on cloud-based platforms. This strategy is consistent with Apple's frequently cited dedication to user privacy, data security, and dependable performance, as processing data locally reduces the chance of data breaches and provides speedier processing times.
Apple's interest is most likely driven by the startup's ability to compress neural networks so that they can perform efficiently on portable devices such as smartphones and tablets.
Apple's On-Device AI Strategy May Include Partnerships, Set for Reveal at WWDC
According to Bloomberg's Mark Gurman, Apple's LLM would run purely on-device rather than in the cloud, as most other AI systems do. Apple's AI tools may sometimes be less capable than its direct cloud-based competitors. Still, Gurman believes the business can "fill in the gaps" by licensing technology from Google and other AI service providers.
Before its sale, Datakalab worked on several high-profile initiatives, including cooperation with the French government and Disney. The company created technology capable of assessing human emotions using facial recognition and visual data, which was later utilized to track audience reactions in real-time during film screenings.
Apple's new AI approach is expected to be unveiled alongside previews of its next-generation operating systems at WWDC in early June.
Photo: Microsoft Bing
