Pitaka’s ultra-thin case for the Galaxy S24+ is made out of 1500D Aramid Fiber, and it comes in a Sunset color option. As you ...

Every day, I carry around a glass sandwich I cannot eat. Its layers include a screen protector on the front, my phone in the ...

The OnePlus AIRVOOC 50W Magnetic Charger is an ideal charging accessory for the OnePlus 15. It supports 50W charging just ...

The iPhone 17 lineup includes a new Ceramic Shield 2 with anti-reflective technology, but it turns out standard screen protectors aren’t the best match for the new displays. iPhone 17 display’s ...

Google DeepMind's latest AI model, Gemini 3, has made a stunning debut, outperforming ChatGPT, Claude, and other competitors, signaling a new phase in the generative AI landscape. This has drawn ...

Alphabet Inc. built a structural edge through TPUs and end-to-end AI integration, cutting costs and widening margins across the AI cycle. has emerged as a leader in AI, driven by Gemini 3 and ...

Nvidia has asserted that its graphics processing unit (GPU) platform remains a full generation ahead of its competitors, responding to increased attention on Google's Tensor Processing Unit (TPU) in ...

The AI sphere is abuzz lately with news and rumors that the latest Google TPU, Ironwood, is powering the Gemini3 model, outpacing OpenAI on many metrics including intelligence and performance. Now, ...

Broadcom Inc. is benefiting from bullish AI sentiment, especially as a key supplier for Google and OpenAI in the AI chip race. AVGO's Q3 results showed strong revenue and profit growth, with robust ...

Nov 25 (Reuters) - Meta Platforms (META.O), opens new tab is in talks with Google to spend billions of dollars on the Alphabet (GOOGL.O), opens new tab-owned company's chips for use in its data ...

The Google Pixel 10 Pro has been my go-to Android phone since late August, and since then, I’ve thoroughly enjoyed every second with it. The cameras are exceptional, the software is great, and the ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...