Extensive research exists on the performance of large language models on logic-based tasks, whereas relatively little has been done on their ability to generate creative solutions on lateral thinking tasks. The BrainTeaser shared task tests lateral thinking and uses adversarial datasets to prevent memorization, resulting in poor performance for out-of-the-box models. We propose a system for iterative, chain-of-thought prompt engineering which optimizes prompts using human evaluation. Using this shared task, we demonstrate our system's ability to significantly improve model performance by optimizing prompts and evaluate the input dataset.

Fox News contributor Leo Terrell joined'America's Newsroom' to discuss why crime is surging nationwide and how'parental involvement' can reverse the dangerous trend. An Indiana man was slapped with 10 charges after he allegedly fatally shot his father and dismembered his corpse after believing him to be a robot. Shawn Hays, 53, of Lawrence County, Indiana, was arrested Dec. 20 after deputies responded to a welfare check call on his 73-year-old father Rodney Hays, according to a probable cause affidavit cited by local Fox affiliate WXIN. The person who called the police informed them that Hays told them that he had shot and mutilated his father because he had been turned into a robot. Shawn Hays, 53, was slapped with 10 charges after he allegedly fatally shot his father and dismembered his corpse after believing him to be a robot.

The Super Nintendo Entertainment System with the hit Capcom beat'em up game Street Fighter II. The Super Nintendo Entertainment System with the hit Capcom beat'em up game Street Fighter II. Video game consoles have come a long way since the Super Nintendo arrived in the U.S. in 1991 and launched a new generation of gamers, but sometimes there is no beating the classics. The console was wildly popular, with more than 700 games released for the system in the U.S., and Kerry Hays (aka "Peebs" on the Twitch streaming platform) has been working on beating every. "We had wondered, some of these games, had anyone ever even beaten them before? They were so weird and obscure or difficult," he said.

Artificial intelligence (A.I.) isn't quite ready to take over the world, but it's moving a step closer. A recent survey released by Morning Consult and IBM finds that the COVID-19 pandemic, coupled with the continuing need to automate manual tasks and cybersecurity, has pushed more organizations to adopt A.I. technologies. The Global AI Adoption Index 2022 report, which is based on questions sent to approximately 7,500 IT leaders across the globe, finds that 35 percent of organizations surveyed are deploying A.I. today; another 42 percent are "exploring" these technologies. The study added that A.I. adoption was up four percentage points compared to a previous report released in 2021. As with many other cutting-edge technologies, the survey found that COVID-19 played a significant role in increasing A.I. adoption, as companies looked to automate certain tasks as a way to overcome tech skill gaps (as well as some of the labor shortages associated with the pandemic).

IBM has been warning about the cybersecurity skills gap for several years now and has recently released a report on the lack of artificial intelligence (AI) skills across Europe. The company said in a Friday email to SC Media that cybersecurity has been experiencing a significant workforce and skills shortage globally, and AI can offer a crucial technology path for helping solve it. "Given that AI skillsets are not yet widespread, embedding AI into existing toolsets that security teams are already using in their daily processes will be key to overcoming this barrier," IBM stated in the email. "AI has great potential to solve some of the biggest challenges facing security teams -- from analyzing the massive amounts of security data that exists to helping resource-strapped security teams prioritize threats that pose the greatest risk, or even recommending and automating parts of the response process." Oliver Tavakoli, CTO at Vectra, said the potential of machine learning (ML) and AI materially helping in the pursuit of a large set of problems across many industries has created an acute imbalance in the supply and demand of AI talent.

Shopping from home during the coronavirus has necessarily caused a surge in online retail transactions. That, in turn, has pushed a big spike in support calls, which has posed some problems, especially for larger e-tailers. Fortunately, chatbot technology has been there to take on the brunt of this burden. Recent research by Digital360Commerce quantifies the spike at a whopping 426 percent increase in chatbot-driven customer service sessions in April, 2020 as compared to the preceding February. The challenge for human service agents is that despite the ease with which most voice over IP (VoIP) call centers claim they can handle agents that work in distributed environments (at home, for instance), most support services aren't set up that way with only their central call centers having the network infrastructure to handle the new volume of support calls.

In a new report launched by Hays today, 'Recruitment Remodelled' examines the evolution of the recruitment industry where the traditional human-centric skills of matching candidates with organisations are now working hand-in-hand with data science, machine learning, predictive analytics and other digital tools and technologies. Alistair Cox, Hays plc CEO, says, "In my ten years as CEO of Hays, I have never seen the recruitment and staffing industry evolving as rapidly as it is today. Technology, the dynamics of the digital world, and the advent of data science and machine learning are fuelling these changes. "For business, the fundamental underlying issue of finding the best talent for their organisation hasn't changed, but what has evolved across our industry is how to manage this process in an age where technology has brought new ways of finding top-quality talent." The traditional approach to recruitment - defined by Hays as'Advertise & Apply' - has relied upon organisations promoting their vacancies across multiple channels to solicit applications from jobseekers. This long-established model is no longer enough in today's digital world as it is primarily directed at the active, rather than the passive, jobseeker community. In addition, the ease at which candidates can respond to online job advertisements has led to an unwieldy process with high volumes of responses being received, many of which prove to be unsuitable for the role. A new recruitment model has been developed and deployed by Hays - defined as'Find & Engage' - that combines the best practice recruitment techniques and established candidate relationships with the new opportunities presented by digital technology, data science and machine learning. This approach is designed to maximise the likelihood of organisations finding the best talent by enabling them to search beyond those active jobseekers, and reach deep into a much wider pool of passive candidates. Alistair added, "There has always been a real art to recruiting the best talent, built around the development of trusted relationships and an ability to assess the compatibility of a candidate for the vacancy.

A new report launched by Hays, Recruitment Remodelled examines the evolution of the recruitment industry where the traditional human-centric skills of matching candidates with organisations are now working hand-in-hand with data science, machine learning, predictive analytics and other digital tools and technologies. "In my ten years as CEO of Hays, I have never seen the recruitment and staffing industry evolving as rapidly as it is today. Technology, the dynamics of the digital world, and the advent of data science and machine learning are fuelling these changes. For business, the fundamental underlying issue of finding the best talent for their organisation hasn't changed, but what has evolved across our industry is how to manage this process in an age where technology has brought new ways of finding top-quality talent," said Alistair Cox, Hays plc CEO. The traditional approach to recruitment–defined by Hays as advertise and apply–has relied upon organisations promoting their vacancies across multiple channels to solicit applications from jobseekers.

Artificial intelligence (AI) is set to change the way the recruitment industry and organizations search for and acquire talent, according to recruiting experts Hays. Automated technology can analyze the mountains of data that exist within an organization and the wider job market, translating it into easily digestible formats. According to Alistair Cox, CEO of Hays, this will help humans make better recruitment decisions. "One simple job ad can elicit tens of thousands of responses, many of which may be wholly inappropriate applications, yet all must be screened in order to find the real stars," says Cox. With the aid of AI, time consuming areas of recruitment, such as CV screening, drafting job descriptions and communicating with candidates, could instead take seconds.

Artificial intelligence (AI) is reinventing the creative landscape for marketers. One big leap: Brands are no longer merely seen as objects, but entities with personalities that can interact dynamically with people, according to Winston Binch, chief digital officer for Deutsch North America, the ad agency behind Taco Bell's award-winning taco-ordering chatbot, the Tacobot. Binch spoke to Catharine Hays, executive director of the Wharton Future of Advertising Program, on the Marketing Matters show, which airs on Wharton Business Radio, SiriusXM channel 111. Get the entire 10-part series on Ray Dalio in PDF. Save it to your desktop, read it on your tablet, or email to your colleagues.