stp2y

31427 Posts
06 Jun

An AI Cartoon May Interview You For Your Next Job

stp2y0 CommentsGenAI, , ,
The cartoon interviewer greets you on screen. He looks a little young to be asking questions about a job—sort of a cartoon version of Harry Potter, with dark hair and glasses. You can choose other interviewers to speak with instead, representing various genders and races with names like Benjamin, Leslie, and Kristin. Alex, the name given to this AI interviewer, asks about your professional experience, theoretical questions about programming, and then gives out a coding exercise.Alex is an AI interviewer developed by micro1, a US company that describes itself as an AI recruitment engine for engineers. The tech provides an…
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Former Autonomy CEO Mike Lynch Cleared in US Fraud Trial
06 Jun

Former Autonomy CEO Mike Lynch Cleared in US Fraud Trial

stp2y0 CommentsRAG models, , ,
The objective of the defense, says Zachary Terwilliger, a former US prosecutor and partner at law firm Vinson & Elkins, was to “humanize” Lynch. “As a defense attorney, you want to make your client relatable to the jury, even if they are a millionaire,” he says. The government, meanwhile, was aiming to “beat back the defense narrative: This isn’t some folksy guy named Mike, this is Dr. Lynch. This is someone that focuses on every excruciating detail,” says Terwilliger.The bulk of the trial was taken up by testimony from more than 30 government witnesses—a ranging cast of Autonomy insiders, whistleblowers,…
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Shutterstock’s Content Datasets Now on Databricks Marketplace
06 Jun

Shutterstock’s Content Datasets Now on Databricks Marketplace

stp2y0 CommentsViral News, , , , , , ,
In today's data-driven world, the fusion of visual assets and analytical capabilities unlocks a realm of untapped potential. Image datasets are crucial in developing and training Generative AI (GenAI) technologies. We are thrilled to announce a groundbreaking collaboration that brings the vast collection of Shutterstock imagery to the Databricks Marketplace — our first listing of Volume (aka non-tabular) datasets on our Marketplace. This free sample dataset, which consists of 1,000 images and accompanying metadata sourced from Shutterstock's 550+ million image library, is available for immediate access. This blog will explore Shutterstock's image library on Databricks Marketplace and the industry use…
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Computex 2024 Day Three: IoT, Displays and Solid-State Cooling – EE Times
06 Jun

Computex 2024 Day Three: IoT, Displays and Solid-State Cooling – EE Times

stp2y0 CommentsNews
//php echo do_shortcode('[responsivevoice_button voice="US English Male" buttontext="Listen to Post"]') ?> One thing that often strikes me is that our coverage sometimes misses some of the fascinating things going on around the world in the electronics industry, maybe as a result of U.S. and European companies being much more PR and marketing focused. In this final daily roundup from Computex 2024, I reflect on the diversity of people I have met over the last few days here at the show in Taipei, covering everything from drones for cleaning solar panels in Jordan to industry 4.0 in India, as well as things…
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CEO Suggests That Humans Could Be “Adversarially Attacked” Like Neural Networks
06 Jun

CEO Suggests That Humans Could Be “Adversarially Attacked” Like Neural Networks

stp2y0 CommentsChat-GPT
Apropos of almost nothing, the CEO of an AI startup suggested that a bad actor could use a mysterious image to "attack" human brains the way researchers have done with neural networks.This kerfuffle began when Florent Crivello, the CEO of the Lindy AI staffing startup, agreed with researcher Tomáš Daniš' take that "there is no evidence humans can't be adversarially attacked like neural networks can.""There could be," the Germany-based AI researcher wrote on X-formerly-Twitter, "an artificially constructed sensory input that makes you go insane forever."Tonally reminiscent of former OpenAI chief scientist Ilya Sutskever's infamous claim two years ago that "it…
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Angular vs React js Prop Passing
06 Jun

Angular vs React js Prop Passing

stp2y0 CommentsNews, , , , , , , ,
Prop Passing in React Parent Component: import React from 'react'; import ChildComponent from './ChildComponent'; class ParentComponent extends React.Component { render() { const message = "Hello from Parent!"; return ( <div> <h1>Parent Component</h1> <ChildComponent message={message} /> </div> ); } } export default ParentComponent; Enter fullscreen mode Exit fullscreen mode Child Component: import React from 'react'; class ChildComponent extends React.Component { render() { return ( <div> <h2>Child Component</h2> <p>{this.props.message}</p> </div> ); } } export default ChildComponent; Enter fullscreen mode Exit fullscreen mode Advantages of Prop Passing in React Challenges of Prop Passing in React Prop Drilling: In larger applications, passing props through…
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LOLAMEME: Logic, Language, Memory, Mechanistic Framework
06 Jun

LOLAMEME: Logic, Language, Memory, Mechanistic Framework

stp2y0 CommentsViral News
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol
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LADI v2: Multi-label Dataset and Classifiers for Low-Altitude Disaster Imagery
06 Jun

LADI v2: Multi-label Dataset and Classifiers for Low-Altitude Disaster Imagery

stp2y0 CommentsViral News
arXiv:2406.02780v1 Announce Type: new Abstract: ML-based computer vision models are promising tools for supporting emergency management operations following natural disasters. Arial photographs taken from small manned and unmanned aircraft can be available soon after a disaster and provide valuable information from multiple perspectives for situational awareness and damage assessment applications. However, emergency managers often face challenges finding the most relevant photos among the tens of thousands that may be taken after an incident. While ML-based solutions could enable more effective use of aerial photographs, there is still a lack of training data for imagery of this type from multiple perspectives…
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