When you purchase through links in our articles, we may earn a small commission. What else can AI do? 7 uses beyond chatbots and image generation You can do a lot with local AI, especially on a gaming PC with a powerful graphics card. While cloud-based AI solutions are all the rage, local AI tools are more powerful than ever. Your gaming PC can do a lot more with AI than just run large language models in LM Studio and generate images with Stable Diffusion and unlike with cloud-based AI tools, you maintain full control over your data and have complete privacy. Here's a taste of the cool AI stuff you can do on a desktop PC right now.

When you purchase through links in our articles, we may earn a small commission. Local AI tools are more powerful than ever, but most of the magic ain't happening on NPUs--much to Microsoft's disappointment, I'm sure. For the last few years, the term "AI PC" has basically meant little more than "a lightweight portable laptop with a neural processing unit (NPU) ." Today, two years after the glitzy launch of NPUs with Intel's Meteor Lake hardware, these AI PCs still feel like glorified tech demos. But local AI is here!

When you purchase through links in our articles, we may earn a small commission. Once you've paired this camera with Eufy's ProSecure NVR, you'll have a robust, subscription-free, AI-powered home surveillance system. The Eufy PoE Turret Security Camera E41 delivers dependable, subscription-free security with crisp video and smart detection, but only if you're willing to commit to Eufy's wired ProSecure NVR system. It's a strong option for homeowners ready to go beyond Wi-Fi cameras. Wi-Fi cameras are popular because you can set them up almost anywhere and be watching video on your phone within minutes.

--One of the primary research interests adhering to next-generation fiber-wireless access networks is human-to-machine/robot (H2M/R) collaborative communications facilitating Industry 5.0. This paper discusses scalable H2M/R communications across large geographical distances that also allow rapid onboarding of new machines/robots as 72% training time is saved through global-local coordinated learning. In recent years, several inter-disciplinary technical paradigms like cyber-physical systems, Industrial IoT, robotics, big data, cloud/edge and cognitive computing, and virtual/augmented reality (VR/AR) have received significant attention from both industry and academia. The primary reason behind this development is the inclusion of industry vertical scenarios like Industry 4.0 in the fifth and beyond-fifth generation mobile technologies [1]. Although Industry 4.0 primarily involved connectivity among cyber-physical systems, Industry 5.0 will focus on the "human and machine/robots/cobots" relationship [2] to ensure real-time monitoring of products' condition, use, and the environment through sensors and external data sources, dynamic control of product functions and personalized user experience through embedded software in the products, optimization of use and performance of products, and autonomous delivery of products through coordinated operations with other products and systems.

It's not enough to champion AI hardware that supports local large language models, generative AI, and the like. Hardware vendors need to step up and serve as a middleman -- if not an outright developer -- for those local AI apps, too. At MWC 2024 (formerly known as Mobile World Congress, aka one of the world's largest mobile trade shows), the company this week announced a Qualcomm AI Hub, a repository of more than 75 AI models specifically optimized for Qualcomm and Snapdragon platforms. Qualcomm also showed off a seven-billion-parameter local LLM, running on a (presumably Snapdragon-powered) PC, that can accept audio inputs. Finally, Qualcomm demonstrated an additional seven-billion-parameter LLM running on Snapdragon phones.

Mike Henry, CEO One cannot possibly miss all the hype and recognition around artificial intelligence (AI) these days. AI has percolated deep into our everyday lives in ways we cannot fathom. Even for most of the tech-savvy millennials, the AI experience is not defined by complex algorithms, huge computing power, or advanced analytical methods. Instead, it sounds like the voice of a smart speaker that responds to weather-related queries or tunes into a podcast. The truth is, the potential for a "digital me" resides in every device.