stp2y - CybAI news

23 May

Announcing simplified XML data ingestion

stp2y0 CommentsViral News

We're excited to announce native support in Databricks for ingesting XML data.XML is a popular file format for representing complex data structures in different use cases for manufacturing, healthcare, law, travel, finance, and more. As these industries find new opportunities for analytics and AI, they increasingly need to leverage their troves of XML data. Databricks customers ingest this data into the Data Intelligence Platform, where other capabilities like Mosaic AI and Databricks SQL can then be used to drive business value.However, it can take a lot of work to build resilient XML pipelines. Since XML files are semi-structured and arbitrarily…

23 May

Gemini breaks new ground with a faster model, longer context, AI agents and more

stp2y0 CommentsNewsNone

1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more. This is because it’s been trained by 1.5 Pro through a process called “distillation,” where the most essential knowledge and skills from a larger model are transferred to a smaller, more efficient model.Read more about 1.5 Flash in our updated Gemini 1.5 technical report, on the Gemini technology page, and learn about 1.5 Flash’s availability and pricing.Significantly improving 1.5 ProOver the last few months, we’ve significantly improved 1.5 Pro, our best model for general performance across a wide range of…

23 May

Research Papers in January 2024

stp2y0 CommentsAI

2023 was the year when the potential and complexity of Large Language Models (LLMs) were growing rapidly. Looking at the open source and research advancements in 2024, it seems we are going to a welcome phase of making models better (and smaller) without increasing their size.In this month's article, I am highlighting four recent papers consistent with this theme:1. Weight averaging and model merging allow us to combine multiple LLMs into a single, better one without the typical drawbacks of traditional ensembles, such as increased resource requirements.2. Proxy-tuning to boost the performance of an existing large LLM, using two small…

23 May

Galileo debuts Protect hallucination firewall as AI model accuracy comes into sharper focus – SiliconANGLE

stp2y0 CommentsChat-GPTGalileo debuts Protect hallucination firewall as AI model accuracy comes into sharper focus, Maria Deutscher, SiliconANGLE

Startup Galileo Technologies Inc. today debuted a new software tool, Protect, that promises to block harmful artificial intelligence inputs and outputs. The company describes the product as a real-time hallucination firewall. It’s the latest in a series of newly launched software tools designed to help companies block their AI models from generating inaccurate responses. Some of those tools were created by AI startups such as Galileo, while others are offered by large players from other parts of the enterprise technology market. “The rapid adoption of AI has introduced a new set of safety and compliance risks that need to be…

23 May

Snowflake Arctic, a New AI LLM for Enterprise Tasks, is Coming to APAC

stp2y0 CommentsGenAI

Data cloud provider Snowflake has launched an open source large language model, Arctic LLM, as part of a growing portfolio of AI offerings helping enterprises leverage their data. Typical use cases include data analysis, including sentiment analysis of reviews, chatbots for customer service or sales, and business intelligence queries, like the extraction of revenue information. Snowflake’s Arctic is being offered alongside other LLM models from Meta, Mistral AI, Google and Reka in its Cortex product, which is only available in select regions. Snowflake said Cortex will be available in APAC in Japan in June via the AWS Asia Pacific (Tokyo)…

23 May

How to use Google Search entirely AI-free automatically – gHacks Tech News

stp2y0 CommentsNews

Google is integrating AI information into Google Search. Called AI Overviews, it is a feature that is rolling out to users from specific regions already. The feature adds an AI response to the very top of the search results. Below that, you find the regular web links. There are good reasons to skip AI output. From hallucinations, which means made-up information, to returning the wrong or even dangerous information. Add ads to that, which Google is now also rolling out in the United States, and you may not be super interested into these results at the time of writing. If…

23 May

Ideogram Tile brings AI-generated patterns to the masses

stp2y0 CommentsChat-GPT

Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here. Ideogram, the fast-growing artificial intelligence startup known for its advanced text-to-image generation capabilities, today announced a significant addition to its platform: Ideogram Tile. This new feature allows users to create seamless, repeating patterns from a single text prompt, opening up a world of possibilities for designers, artists, and businesses alike. With Ideogram Tile, users can generate intricate wallpapers, immersive landscapes, and endless…

23 May

To optimize guide-dog robots, first listen to the visually impaired

stp2y0 CommentsGenAIEye Care; Disability; Workplace Health; Robotics Research; Engineering; Vehicles; Robotics; Artificial Intelligence; Neural Interfaces

What features does a robotic guide dog need? Ask the blind, say the authors of an award-winning paper. Led by researchers at the University of Massachusetts Amherst, a study identifying how to develop robot guide dogs with insights from guide dog users and trainers won a Best Paper Award at CHI 2024: Conference on Human Factors in Computing Systems (CHI). Guide dogs enable remarkable autonomy and mobility for their handlers. However, only a fraction of people with visual impairments have one of these companions. The barriers include the scarcity of trained dogs, cost (which is $40,000 for training alone), allergies…

23 May

AI, Platforms, And Big Promises: What We Saw At Red Hat Summit

stp2y0 CommentsNewsai, Ansible, Linux, Red Hat

IT platform teams’ responsibilities in 2024 are expanding radically. They’re being asked to provide cost-effective alternative solutions for the VMware virtualization technology that typically dominates enterprise IT. While they’re at it, could they please also stand up state-of-the-art AI platforms that can support generative AI in the data center and cloud that work as well as big cloud-managed AI services but for less money? Those were the big questions hanging over some 6,000 attendees of Red Hat Summit in Denver May 6–9. Red Hat responded with a series of announcements of offerings — some immediate, some long-term — that are…

23 May

Asymmetric Certified Robustness via Feature-Convex Neural Networks

stp2y0 CommentsAIasymmetric robustness, certified robustness, input-convex neural networks

Asymmetric Certified Robustness via Feature-Convex Neural Networks TLDR: We propose the asymmetric certified robustness problem, which requires certified robustness for only one class and reflects real-world adversarial scenarios. This focused setting allows us to introduce feature-convex classifiers, which produce closed-form and deterministic certified radii on the order of milliseconds. Figure 1. Illustration of feature-convex classifiers and their certification for sensitive-class inputs. This architecture composes a Lipschitz-continuous feature map $varphi$ with a learned convex function $g$. Since $g$ is convex, it is globally underapproximated by its tangent plane at $varphi(x)$, yielding certified norm balls in the feature space. Lipschitzness of $varphi$…