This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Dartmouth researchers conducted the first clinical trial of an AI-powered therapy chatbot and found that, on average, people with diagnosed mental disorders experienced clinically significant improvements in their symptoms over eight weeks, according to results published in& NEJM AI, a journal from the publishers of the New England Journal of Medicine.
Effective error analysis is critical for the successful development and deployment of CVML models. One approach to understanding model errors is to summarize the common characteristics of error samples. This can be particularly challenging in tasks that utilize unstructured, complex data such as images, where patterns are not always obvious. Another method is to analyze error distributions across pre-defined categories, which requires analysts to hypothesize about potential error causes in advan
The internet: a once wacky world of strange forums and obscure memes, a tool to harness the sum total of human knowledge at a moment's notice. At least, that was before AI slop ruined everything. To feed data-hungry AI models, companies and individuals are deploying a growing army of AI "web crawlers," bots tasked with sifting the internet for text, pictures, and other data.
Can AI detect and fix coding errors just by analyzing a screenshot? With a Multi-Agent System for Automatic Code Error Detection, the answer is yes. This innovative approach uses artificial intelligence and reasoning to identify coding mistakes from images, propose accurate solutions, and explain the logic behind them. At the core is a decentralized Multi-Agent […] The post Building a Multi-Agent System for Automatic Code Error Detection from Screenshots appeared first on Analytics Vidhya.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
MIT Research Scientist Ana Triovi went from a student downloading MIT Open Learning resources in Serbia to becoming a computer scientist at CERN, Harvard, and MIT.
Dont let your mystery rash become AI training fodderor turn up in a data breach Ive learned a lot from OpenAIs ChatGPT over the past few years. And the bot has learned a lot about The AI picked up factoids from our many conversations and banked them in its memory.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
AI models are being cranked out at a dizzying pace, by everyone from Big Tech companies like Google to startups like OpenAI and Anthropic. Keeping track of the latest ones can be overwhelming. Adding to the confusion is that AI models are often promoted based on industry benchmarks.
Exclusive: A decorated Marine colonel who ejected out of a failing F-35B stealth fighter over North Charleston in 2023 tells the story about what happened and how it affected his military career.
In a move that surprised the tech industry Monday, OpenAI said it has secured a monumental $40 billion funding round led by SoftBank, catapulting its valuation to an unprecedented $300 billion making it the largest private equity investment on record.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
ChatGPT and other large-language chatbots are great and have revolutionized many aspects of work. However, they have one big drawback: they talk the talk but can't walk the walk. The next wave of AI disruption will be different.
In the world of electric vehicles (EV), a Chinese car maker has gotten the upper hand over Tesla in just a few years. And it seems to be just getting started.
Figure 02's human-like gait is the product of the company's simulated reinforcement learning system, and is just the beginning of its plans to make its robots perform physical tasks more naturally.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
An exposed GitHub token could have been used to launch a supply chain attack on GitHub CodeQL, resulting in source code exposure and repository tampering of CodeQL users.
For more background on safety and security issues related to C++, including definitions of language safety and software security and similar terms, see my March 2024 essay C++ safety, in context. This essay picks up our story where that one left off to bring us up to date with a specific focus on undefined behavior (aka UB). This is a status update on improvements currently in progress for hardening and securing our C++ software.
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
Experiments suggest that an unusual magnetic material can help harness energy from the planet’s rotation. But not everyone is convinced. Experiments suggest that an unusual magnetic material can help harness energy from the planet’s rotation. But not everyone is convinced.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Input your email to sign up, or if you already have an account, log in here!
Enter your email address to reset your password. A temporary password will be e‑mailed to you.
We organize all of the trending information in your field so you don't have to. Join 17,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content