Generative
Method teaches generative AI models to locate personalized objects
[ad_1] Say a person takes their French Bulldog, Bowser, to the dog park. Identifying Bowser as he plays among the other canines is easy for the dog-owner to do while onsite. But if someone wants to use a generative AI model like GPT-5 to monitor their pet while they are at work, the model could…
Using generative AI to diversify virtual training grounds for robots
[ad_1] Chatbots like ChatGPT and Claude have experienced a meteoric rise in usage over the past three years because they can help you with a wide range of tasks. Whether you’re writing Shakespearean sonnets, debugging code, or need an answer to an obscure trivia question, artificial intelligence systems seem to have you covered. The source…
The Role of Model Context Protocol (MCP) in Generative AI Security and Red Teaming
[ad_1] Overview Model Context Protocol (MCP) is an open, JSON-RPC–based standard that formalizes how AI clients (assistants, IDEs, web apps) connect to servers exposing three primitives—tools, resources, and prompts—over defined transports (primarily stdio for local and Streamable HTTP for remote). MCP’s value for security work is that it renders agent/tool interactions explicit and auditable, with…
Responding to the climate impact of generative AI
[ad_1] In part 2 of our two-part series on generative artificial intelligence’s environmental impacts, MIT News explores some of the ways experts are working to reduce the technology’s carbon footprint. The energy demands of generative AI are expected to continue increasing dramatically over the next decade. For instance, an April 2025 report from the International Energy Agency…
The Impact Of Generative AI On The Future Of Automotive And EVs
[ad_1] – Advertisement – Autonomous vehicles, connected ecosystems, and smart factories are only the beginning. Generative AI is pushing the auto industry beyond predictions into a bold era of creativity — from EV design to real-time diagnostics and showroom automation. Here is how GenAI is reshaping innovation across the automotive value chain. Let us start…
New tool makes generative AI models more likely to create breakthrough materials
[ad_1] The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, and Meta have drawn on their training data to help researchers design tens of millions of new materials. But when it comes to designing materials…
A new generative AI approach to predicting chemical reactions
[ad_1] Many attempts have been made to harness the power of new artificial intelligence and large language models (LLMs) to try to predict the outcomes of new chemical reactions. These have had limited success, in part because until now they have not been grounded in an understanding of fundamental physical principles, such as the laws…
Using generative AI, researchers design compounds that can kill drug-resistant bacteria
[ad_1] With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research team designed more than 36 million possible compounds and computationally screened them for antimicrobial properties. The top candidates they discovered are structurally distinct from…
How To Win In Generative Engine Optimization (GEO)
[ad_1] This post was sponsored by Peec.ai. The opinions expressed in this article are the sponsor’s own. The first step of any good GEO campaign is creating something that LLM-driven answer machines actually want to link out to or reference. In This SEO Guide 1. GEO Strategy Components 2. Concrete Steps To Succeed With GEO…
Generative AI is not replacing jobs or hurting wages at all
[ad_1] Instead of depressing wages or taking jobs, generative AI chatbots like ChatGPT, Claude, and Gemini have had almost no wage or labor impact so far – a finding that calls into question the huge capital expenditures required to create and run AI models. In a working paper released earlier this month, economists Anders Humlum…
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