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OpenAI, on Tuesday, announced plans to shut down the popular Sora app. The discontinuation impacts both the mobile app and the application programming interface (API). The San Francisco-based artificial intelligence (AI) giant did not share the reason behind sunsetting the platform, or when it plans to hit the kill switch. Interestingly, the announcement comes at a time when multiple reports have claimed that the company wants to integrate Sora's capabilities within ChatGPT. Notably, the AI firm said it will share more details in the coming days.
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Apple is said to be preparing a broader push into artificial intelligence (AI), and among the initiatives is a major overhaul of its voice assistant Siri. According to a seasoned journalist, the Cupertino-based tech giant is testing a standalone Siri app that includes deeper integration with system features. While the AI assistant will continue to be activated by the same triggers, a redesigned interface could be introduced to replace the existing glowing edges effect.
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Meta and Arm announced a partnership on Tuesday to jointly develop a new class of CPUs that support heavy artificial intelligence (AI) workloads. These CPUs will be designed to support data centres and large-scale AI deployments, and are not expected to be available to the end consumer. The two companies also unveiled the Arm AGI CPU, the first chipset designed for Meta's data centres. The two entities also confirmed that several generations of chipsets will be co-developed to facilitate parallel, high-performance agentic workloads.
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By combining cutting-edge AI models with proven robotics hardware and deployment capabilities, the companies aim to push the boundaries of intelligent automation.
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Most leaders will also receive increased restricted stock awards, valued at around $170 million based on the latest closing price.
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The initiative aims to provide end-to-end tools that streamline permitting, accelerate design, and optimise operations across the industry.
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QpiAI said its decoder achieves an end-to-end latency of about 1.5 microseconds, with a decoding latency of under 1 microsecond.
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Agnikul Cosmos said rapid engine production can cut launch wait times from months to days.
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Brett Adcock’s Hark targets AI that thinks like users and integrates hardware with multimodal intelligence.
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The launch provides the infrastructure required for the mass deployment of autonomous agents that require low-latency, isolated execution of AI-generated code.
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The report finds growing disparities in AI usage. In India, the data points to a strong tilt towards technical and productivity-driven use cases.
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The complexity of Indian retail data is a testing ground for Reliance-owned Fynd’s AI systems.
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