Collaborating Authors


Machine Learning Engineer


Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences. Although we're headquartered in San Francisco, we're on a journey to becoming a globally antiracist company that supports diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum. This position is needed to scope, design, and deploy machine learning systems into the real world to ensure that communication across Twilio platforms remains legal, safe and wanted. As a Machine-Learning Engineer, you thrive at designing large-scale systems, building complex predictive models, performing efficient experimentation and automating processes.

Are AI Recruitment Tools Ethical And Efficient? The Pros And Cons Of ATS


Identifying the right talent remains challenging for HR professionals and recruiters. Companies rely on artificial intelligence (AI) technology to perform tasks like screening resumes and scheduling interviews. But are AI recruitment tools ethical and efficient? There are benefits and pitfalls of automated hiring practices. AI-driven technology and applicant tracking systems (ATS) have become indispensable tools for companies worldwide.

Machine Learning in the Hiring Industry


"I just found what I was looking for in the recommendations section. How exactly did they know though?" There is one answer to this simple question: machine learning. Machine learning (ML) and artificial intelligence (AI) is rapidly becoming more utilized in our transition into the future age of technology, from predicting if one has cancer depending on various health factors, to identifying a person's handwriting and translating it into words. As innovative as it seems, there is no clear line drawn in what can be predicted from algorithms and what can not, but there are criteria and conditions to what machine learning models are considered successful.

OpenAI spent $160,000 on Upwork for Minecraft gamers to train a neural net


The computer program achieved the feat in ten minutes, half the time it would take a proficient human player to do it. How important might it be to master the "diamond tool" in Minecraft? Important enough to spend $160,000, according to OpenAI, the artificial intelligence startup. That is the amount of money that a team at OpenAI spent to hire players of Minecraft on the online job listings platform Upwork to submit videos of themselves playing the game. In a paper unveiled this week, "Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos," OpenAI researchers Bowen Baker and team break ground in the use of large datasets to train a neural network to mimic human keystrokes to solve different tasks in the video game.

Supreme Court shoots down NY rule that set high bar for concealed handgun licenses

FOX News

Fox News Flash top headlines are here. Check out what's clicking on The Supreme Court Thursday ruled 6-3 that New York's regulations that made it difficult to obtain a license to carry a concealed handgun were unconstitutionally restrictive, and that it should be easier to obtain such a license. The existing standard required an applicant to show "proper cause" for seeking a license, and allowed New York officials to exercise discretion in determining whether a person has shown a good enough reason for needing to carry a firearm. Stating that one wished to protect themselves or their property was not enough.

The impact of AI on recruitment - AIHR


Recruitment as a career is the epitome of the phrase "trying to find a needle in a haystack". Economic fluctuations, demand in a particular sector, an overabundance of graduates with a particular qualification – all of these things and more can lead to some jobs having hundreds – or even thousands – of applicants rushing for a single position when it crops up. With so many individuals competing for a dramatically smaller number of jobs, how do recruiters find ways to make their lives easier and their jobs more manageable? This is where artificial intelligence (AI) can play a role. In today's article, we'll take a look at the impact of AI on recruitment: its uses, pros, potential pitfalls and the future.

Threat Data Engineer


With more than 800 employees, $200M ARR in 2021, 1,400 clients, and rapid year-over-year growth, Recorded Future is the world's largest intelligence company! Recorded Future's Insikt Group is seeking an experienced individual for a unique opportunity. This exciting role will be a member of the Threat Data and Enablement team within Recorded Future's widely regarded Insikt Group. The Threat Data and Enablement team focuses on obtaining and managing unique threat intelligence to drive the world's threat intelligence platform. The ideal candidate will be an experienced systems and network administrator with 5 or more years experience.

Use of AI in Hiring Has Potential for Discrimination, Says EEOC


In a message that applies to both the federal and private sectors, the EEOC has cautioned about the potential for discriminatory practices in hiring through the use of artificial intelligence. "Employers increasingly use AI and other software tools to help them select new employees, monitor performance, and determine pay or promotions. Employers may give computer-based tests to applicants or use computer software to score applicants' resumes. Many of these tools use algorithms or AI. These tools may result in unlawful discrimination against people with disabilities in violation of the Americans with Disabilities Act," it said.

5 Ways AI is Changing Global Education


With the rise of AI, there has been an increased focus on global education. As the world becomes more interconnected, it is important for students to be able to learn about different cultures and perspectives. AI can help to provide students with a more comprehensive education by providing access to a wealth of information from around the world. In addition, it can help to customize learning experiences to individual students, making sure that each student receives the best possible education. As AI continues to evolve, it will likely have an even greater impact on education, making it more accessible and effective than ever before.

Artificial intelligence and human resources - Dataconomy


Artificial intelligence and human resources collaborate to help save money, enhance planning, and, most significantly, transform companies. The collaboration between artificial intelligence and human resources increases employee performance and expertise and lowers costs. AI technology in HR aids organizations in gaining a complete understanding of their staff's behaviors and inclinations. This data may be used to improve employee happiness by enhancing the job experience. AI is also used to assist human resources professionals in various areas of their profession, from early applicant shortlisting through performance evaluation.