Found in LM News, Blogs & Content, with a score of 9.12
…do over e-mail. And it stated that the AI’s large language model can be trained to identify e-mails regarding load tenders, pickup appointments, or shipment tracking updates. It added that, to date, 2,268 of CHR’s truckload customers are receiving automated e-mail quotes, which enables them to more quickly secure a carrier to pick up their freight and avoid paying a premium. The company also highlighted its work on applying AI technology to LTL price requests, which it said will benefit small business customers reliant on e-mail. And it is also working on a pilot for expedited freight price requests, for…
Found in Robotics News & Content, with a score of 28.91
…OpenUSD framework. Eureka itself is powered by the GPT-4 large language model. “Reinforcement learning has enabled impressive wins over the last decade, yet many challenges still exist, such as reward design, which remains a trial-and-error process,” said Anima Anandkumar, senior director of AI research at NVIDIA and an author of the Eureka paper. “Eureka is a first step toward developing new algorithms that integrate generative and reinforcement learning methods to solve hard tasks.” Eureka takes unmodified environment source code and language task description as context to zero-shot generate executable reward functions from a coding LLM. Then, it iterates between reward…
Found in MMH News, Blogs & Content, with a score of 7.36
…last November. That’s when the company OpenAI released its large language model-based chatbot called Chat Generative Pre-Trained Transformer. It has many potential uses from helping with your kid’s homework to writing music and scouring software for errors. Using information fed to it, ChatGPT develops iterative improvements on its previous output, learning as it goes, also known as regenerative AI. ChatGPT is also considered to have some real potential in predictive maintenance. What exactly that might be, however, is not especially well defined quite yet. Several suppliers are at the science experiment stage with ChatGPT and predictive maintenance. Webster of Dematic…
Found in 247 News & Content, with a score of 4.15
…offers “prescriptive supply chain planning solutions,” is diving into large language model technology with the acquisition of Garvis, an AI-native demand forecasting firm. The company announced on Thursday that it has signed a definitive agreement to acquire Garvis, a Software-as-a-Service startup that combines large language models such as ChatGPT with artificial intelligence to generate demand planning for supply chains. “We are at the precipice of a significant transformation in supply chain planning with advancements in technology, generational shifts of planners, and the significant speed of market changes and disruptions,” says Allan Dow, president of Logility. “With an AI-driven approach at…
Found in Robotics News & Content, with a score of 10.29
…OpenUSD pipelines and applications. For example, ChatUSD is a large language model (LLM) copilot that can answer USD questions or generate Python-USD code scripts. New Omniverse connections enabled by OpenUSD are now available, offering more opportunities for enterprises to break data silos in their complex production pipelines, said NVIDIA. NVIDIA connects with more collaborators Expanding their collaboration across Adobe Substance 3D, generative AI and OpenUSD initiatives, Adobe and NVIDIA announced plans to make Adobe Firefly — Adobe’s family of creative generative AI models — available as APIs in Omniverse. They said it will allow developers and creators to enhance their…
Found in 247 News & Content, with a score of 3.05
…costs associated with excess inventory. Improve customer service: The large language model, trained on massive amounts of data, can vastly improve customer service. It can provide real-time information to stakeholders about shipping status, product availability, delivery time, etc. This ensures that customers can get their queries answered quickly. Track sustainability: Generative AI tools can also analyze ESG data to create sustainability reports. It can help your business assess its sustainability performance and suggest new initiatives. It can also leverage predictive analytics to identify opportunities for improving sustainability performance. In addition to the above, many other use cases are likely to…
Found in MMH News, Blogs & Content, with a score of 9.26
…to be investigated. This can’t be done without a large language model that can look at a lot of information about each supplier across thousands of suppliers. That’s just one example, and there are, of course, many others in manufacturing and distribution. Trebilcock: Do we need to fear AI or automation in general in supply chain? Sheffi: There are people on the extremes on both sides of this question. As usual, I think the truth is somewhere in the middle. A lot of the angst is about job losses, and in a period with historically low unemployment, and lots of…
Found in Robotics News & Content, with a score of 19.02
…with standard 4D ultra-wide lidar and empowered by GPT’s large language model, Unitree Go2 of embodied AI joins you in exploring the future!” Not only does Unitree's new quadruped robot have an advanced configuration and cool appearance, but it also offers a range of interactive functions, simulating the behavior of a real pet dog. This can create a more intimate and enjoyable human-robot interaction experience, it said. Now, Unitree Go2 is coming with a starting price from $1,600 (excluding tax and freight). The legged robot is now available for preorder on Unitree's official website. The company also described the following…
Found in Robotics News & Content, with a score of 30.85
…tendency to think that all you need is a large language model [LLM],” said Leo Dirac, co-founder of Groundlight. “While they make great demos, robust commercial systems need real human judgment to handle edge cases reliably. And massive LLMs are too slow and expensive to be relied on in isolation for many applications.” “Groundlight's approach seamlessly ties together traditional deep learning with massive foundation models, edge computing, and real-time expert human supervision,” he added. Groundlight emerges from stealth Amazon AI veteran Dirac and Microsoft Hardware alumnus Avi Geiger co-founded Groundlight in 2019. The company emerged from stealth with $10 million…