Researchers have built a fully implantable device that sends light-based messages directly to the brain. Mice learned to interpret these artificial patterns as meaningful signals, even without touch, sight, or sound. The system uses up to 64 micro-LEDs to create complex neural patterns that resemble natural sensory activity. It could pave the way for next-generation …
Read more “This tiny implant sends secret messages to the brain”
Generative AI and robotics are moving us ever closer to the day when we can ask for an object and have it created within a few minutes. In fact, MIT researchers have developed a speech-to-reality system, an AI-driven workflow that allows them to provide input to a robotic arm and “speak objects into existence,” creating …
Read more “Speech-to-reality system creates objects on demand using AI and robotics”
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Remember this Quora comment (which also became a meme)? (Source: Quora) In the pre-large language model (LLM) Stack Overflow era, the challenge was discerning which code snippets to adopt and adapt effectively. Now, while generating code has become trivially easy, the more profound challenge lies in reliably identifying and integrating high-quality, enterprise-grade code into production …
It’s a boring tool, but you need one. Here are the best home printers we have tested, from ink tank to lasers.
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The V-JEPA system uses ordinary videos to understand the physics of the real world.
Hello, I was wondering what can be done with AI these days on a low-end computer, so I tested it on my older laptop with 4GB VRAM (NVIDIA Geforce GTX 1050 Ti) and 16 GB RAM (Intel Core i7-8750H). I used Z-Image Turbo to generate the images. At first I was using the gguf version …
In November, we shared Part 1 of our two-part series on how AI is reshaping the future of marketing for mid-size banks and credit unions, enabling them to move faster: automating workflows, simplifying A/B testing, and cutting down content legal review cycles. Now, we shift to the growth side — because AI doesn’t just make …
Multimodal large language models (MLLMs) are increasingly deployed in real-world, agentic settings where outputs must not only be correct, but also conform to predefined data schemas. Despite recent progress in structured generation in textual domain, there is still no benchmark that systematically evaluates schema-grounded information extraction and reasoning over visual inputs. In this work, we …
Read more “SO-Bench: A Structural Output Evaluation of Multimodal LLMs”