Technique enables AI on edge devices to keep learning over time

Technique enables AI on edge devices to keep learning over time AI News, Adam Zewe | MIT News, AI, AI tools, Innovation, itinai.com, LLM, MIT News - Artificial intelligence, t.me/itinai 🚀 Exciting news! Researchers from MIT, the MIT-IBM Watson AI Lab, and other institutions have developed a groundbreaking technique called PockEngine that enables efficient on-device training for AI models. This means that deep-learning models can now adapt to new sensor data directly on edge devices like smartphones, without the need for cloud servers. 🔑 Benefits of PockEngine: - Speed: PockEngine performs on-device training up to 15 times faster on certain hardware platforms. - Accuracy: The technique does not compromise the accuracy of the models. - Privacy: On-device fine-tuning with PockEngine ensures better privacy and reduces the need for data transmission to the cloud. - Cost-effectiveness: By eliminating the need for cloud servers, PockEngine lowers the cost of maintaining large AI models. - Customization: PockEngine enables personalized AI models that can continuously learn and adapt to user preferences. 💡 How does PockEngine work? It identifies the specific parts of the machine-learning model that need updating to improve accuracy and only computes with those pieces. This reduces computational overhead and speeds up the fine-tuning process. PockEngine has been successfully applied to various edge devices, including smartphones and Raspberry Pi computers. 🌍 Practical Applications: This technique has the potential to revolutionize AI applications on edge devices, making them more efficient, cost-effective, and customizable. It is particularly beneficial for industries that rely on large AI models. 🏢 Implementing AI in Your Company: If you want to evolve your company with AI and stay competitive, consider these steps: 1️⃣ Identify Automation Opportunities: Find customer interaction points that can benefit from AI. 2️⃣ Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes. 3️⃣ Select an AI Solution: Choose tools that align with your needs and provide customization. 4️⃣ Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously. 🤖 Practical AI Solution: Check out the AI Sales Bot from itinai.com/aisalesbot. It automates customer engagement 24/7 and manages interactions across all customer journey stages. Discover how AI can redefine your sales processes and customer engagement. 🔗 Stay Connected: For AI KPI management advice and continuous insights into leveraging AI, connect with us at hello@itinai.com. You can also stay updated on our Telegram channel t.me/itinainews or Twitter @itinaicom. Let's unlock the power of AI together! 🚀