Google and Synaptics Forge Ahead in Edge AI Partnership for IoT Innovation
As of last week, Google A (GOOGL) saw a rise of 1.25%, marking a two-day increase of 1.32%. Over the past week, the stock has dipped by 0.5%, but it has still appreciated 1.32% year-to-date, bringing its market capitalization to $2.3477 trillion. On January 3rd, Google A’s trading volume reached 18.5962 million, with a transaction value ranking it 11th among US stocks that day, although down 7.67% from the previous day.
Google A closed at $191.79 on January 3rd, ticking up by 1.25%. While the past five trading days saw a 0.50% decrease, the entire month of January has so far shown a positive shift of 1.32%, matching its year-to-date performance. Over the last 52-week period, shares have surged 41.30%, indicating robust long-term growth.
Alphabet Inc., the parent company of Google and its subsidiaries, undertook a significant restructuring in 2015. Originally founded in California on September 4, 1998, Google reestablished in Delaware in August 2003. The company operates in various domains, including technology, life sciences, venture capital, and research. Google's offerings extend across internet search, cloud computing, and advertising technology, offering numerous internet-based products and services.
The recent partnership announcement between Synaptics and Google A in the field of Edge AI for IoT has drawn significant attention. The collaboration aims to enhance the implementation of multimodal processing methods for context-aware computing. By integrating Google’s ML kernels with Synaptics' Astra hardware, the alliance is set to accelerate the development of AI-driven IoT devices. This advancement is anticipated to support the processing of diverse modalities such as visuals and sounds, enabling seamless integration in various applications, including wearables and home appliances.
Billy Rutledge, Director of System Research at Google Research Institute, expressed enthusiasm about Synaptics’ adoption of open-source tools and AI hardware, which he believes is well-tailored to Google's ML core. The partnership is expected to address the distinctive power, performance, cost, and space requirements of edge AI devices, paving the way for broader market penetration.
