Abstract: The Industrial Internet of Things (IIoT) has accelerated the adoption of multi-UAV systems in applications such as urban inspection and emergency response. However, effective path planning ...
Meta debuted its first major AI model, Muse Spark, spearheaded by chief AI officer Alexandr Wang, who joined nine months ago and leads Meta Superintelligence Labs. The company is desperate to regain ...
Arcee, a tiny 26-person U.S. startup that built a massive, 400B-parameter open source LLM on a $20 million shoestring budget, has released its new reasoning model. Arcee calls the model Trinity Large ...
For years, Geoffrey Hinton, a computer scientist considered one of the “godfathers of AI,” has warned of the capabilities of artificial intelligence to defy the parameters humans have created for them ...
Forbes contributors publish independent expert analyses and insights. Analyzing tech stocks through the prism of cultural change. A team of Caltech mathematicians at PrismML just fit a full-power AI ...
Cybersecurity researchers have disclosed three security vulnerabilities impacting LangChain and LangGraph that, if successfully exploited, could expose filesystem data, environment secrets, and ...
Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
NVIDIA releases detailed tutorial for building enterprise search agents with AI-Q and LangChain, cutting query costs 50% while topping accuracy benchmarks. NVIDIA has published a comprehensive ...
Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...
The new feed system will analyze what users read, like, and discuss to connect related topics and push insightful posts to wider audiences. LinkedIn is launching a new AI-powered feed ranking system ...
LinkedIn's feed reaches more than 1.3 billion members — and the architecture behind it hadn't kept pace. The system had accumulated five separate retrieval pipelines, each with its own infrastructure ...
Most LLM agents work well for short tool-calling loops but start to break down when the task becomes multi-step, stateful, and artifact-heavy. LangChain’s Deep Agents is designed for that gap. The ...