GenAI - CybAI news

26 May

Robotic system feeds people with severe mobility limitations

stp2y0 CommentsGenAIDiseases and Conditions; Medical Topics; Disability; Robotics Research; Engineering; Physics; Robotics; Artificial Intelligence; Computer Science

Cornell researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis. "Feeding individuals with severe mobility limitations with a robot is difficult, as many cannot lean forward and require food to be placed directly inside their mouths," said Tapomayukh "Tapo" Bhattacharjee, assistant professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science and senior developer behind the system. "The challenge intensifies when feeding individuals with additional complex medical conditions."…

26 May

Databricks delivers enhanced data analytics and intelligence for the energy sector – SiliconANGLE

stp2y0 CommentsGenAIDatabricks delivers enhanced data analytics and intelligence for the energy sector, Mike Wheatley, SiliconANGLE

Big-data company Databricks Inc. today announced the immediate availability of a dedicated data intelligence platform for the energy industry, designed to enable customers in the energy sector to harness enormous streams of data and use them for business insights and to feed generative artificial intelligence workloads. The Databricks Data Intelligence Platform for Energy, as it’s officially known, is also geared toward confidentiality, enabling energy suppliers to use their most sensitive information without any risks around privacy, the company said. The main idea is that the offering will give energy company leaders a more holistic, real-time view of their operations, helping them…

26 May

A better way to control shape-shifting soft robots

stp2y0 CommentsGenAIRobotics Research; Engineering; Engineering and Construction; Vehicles; Robotics; Artificial Intelligence; Mathematics; Computer Programming

Imagine a slime-like robot that can seamlessly change its shape to squeeze through narrow spaces, which could be deployed inside the human body to remove an unwanted item. While such a robot does not yet exist outside a laboratory, researchers are working to develop reconfigurable soft robots for applications in health care, wearable devices, and industrial systems. But how can one control a squishy robot that doesn't have joints, limbs, or fingers that can be manipulated, and instead can drastically alter its entire shape at will? MIT researchers are working to answer that question. They developed a control algorithm that…

26 May

The second New England RLHF Hackers Hackathon

stp2y0 CommentsGenAI

Rekindling the spirit of collaboration, the New England RLHF Hackers (NERH) hosted their second hackathon at Brown University on October 8th, 2023. Stepping up from the success of our inaugural hackathon, this event was fueled by the same enthusiasm but with a fresh purpose: to brainstorm and formulate solutions to a myriad of existing challenges in reinforcement learning from human feedback. The NERH group is mainly comprised of collaborators and contributors from EleutherAI, with several members being integral parts of the Eleuther workforce. In light of our shared vision for a more transparent and inclusive RLHF community, we've decided to…

26 May

Onum raises $28M to help organizations extract their most valuable data in real time – SiliconANGLE

stp2y0 CommentsGenAIMike Wheatley, Onum raises $28M to help organizations extract their most valuable data in real time, SiliconANGLE

Big data observability startup Onum said today it’s ready to accelerate its ambitious growth plans after closing on a $28 million early-stage round of funding. The Series A round was led by one of Europe’s top specialist business-to-business software investors, Dawn Capital, and saw participation from Kibo Ventures and Insight Partners. It comes less than a year after the company’s official launch in 2023. The startup, officially known as Signalit Technology S.L., has built what it says is a more efficient and intelligent data observability platform that’s designed to give companies more control over their data, ensuring real-time observation and orchestration,…

26 May

ChatGPT Cheat Sheet: A Complete Guide for 2024

stp2y0 CommentsGenAI

ChatGPT Fast FactsWhat is ChatGPT? A generative AI that can answer questions in natural-sounding language.Who developed ChatGPT? OpenAI, Inc.Pricing:ChatGPT is free.ChatGPT Plus costs $20/month.ChatGPT Teams, which is the business subscription for at least two people, costs $25/month. The business world has embraced ChatGPT over the last year and found uses for the writing and image generation AI throughout many industries. This cheat sheet includes answers to the most common questions about ChatGPT and its competitors. What is ChatGPT? ChatGPT is an AI chatbot product developed by OpenAI and built on the structure of GPT-4. GPT stands for generative pre-trained transformer;…

26 May

When consumers would prefer a chatbot over a person

stp2y0 CommentsGenAIArtificial Intelligence; Communications; Neural Interfaces; Internet; Retail and Services; Consumerism; Sports; Bioethics

Actually, sometimes consumers don't want to talk to a real person when they're shopping online, a new study suggests. In fact, what they really want is a chatbot that makes it clear that it is not human at all. In a new study, researchers at The Ohio State University found that people preferred interacting with chatbots when they felt embarrassed about what they were buying online -- items like antidiarrheal medicine or, for some people, skin care products. "In general, research shows people would rather interact with a human customer service agent than a chatbot," said Jianna Jin, who led…

26 May

Llemma: An Open Language Model For Mathematics

stp2y0 CommentsGenAI

ArXiv | Models | Data | Code | Blog | Sample Explorer Today we release Llemma: 7 billion and 34 billion parameter language models for mathematics. The Llemma models were initialized with Code Llama weights, then trained on the Proof-Pile II, a 55 billion token dataset of mathematical and scientific documents. The resulting models show improved mathematical capabilities, and can be adapted to various tasks through prompting or additional fine-tuning. Llemma models show strong performance on benchmarks that test a model's ability to solve mathematical problems without external tools. For example, here is a Llemma 34B solution to a MATH…

26 May

Interviewed by AI Coffee Break with Letitia • David Stutz

stp2y0 CommentsGenAI

Letitia is a PhD student at Heidelberg University in the Natural Language Processing group working on vision-language models. On top of her research, she is running a YouTube channel covering Ai papers and developments. So it was a pleasure to be interviewed for her channel about my PhD research on adversarial robustness: Source link lol

26 May

Starburst to release its Iceberg-based lakehouse as a managed service – SiliconANGLE

stp2y0 CommentsGenAIPaul Gillin, SiliconANGLE, Starburst to release its Iceberg-based lakehouse as a managed service

Starburst Data Inc., which sells a commercial version of the open-source Trino distributed query engine, today announced a fully managed Icehouse data lake on its Galaxy cloud. Icehouse is an open-source lakehouse that combines Trino and Apache Iceberg storage. A lakehouse is a new type of data architecture that combines the flexibility of data lakes with the performance of data warehouses. Iceberg is an open-source data table format designed for data warehouses and data lakes that supports SQL tables on large amounts of storage. Iceberg’s schema evolution feature allows the data structure of tables to change over time. It keeps…