At New York's Met Gala, guests are known for attention-grabbing outfits, from Katy Perry's human chandelier dress to Kim Kardashian's all-black body suit. But one attendant in particular has stolen the limelight this year – and he's not even human. Indian-American entrepreneur Mona Patel rocked up to the annual event on Monday night with an adorable robotic dachshund in tow. Vector the robo-dog, developed by scientists at MIT, has a 1,000-carat diamond-studded leash and his own cute little specially-fitted tuxedo. Powered by AI and equipped with sensors, Vector has customised movement patterns and'just the right amount of sass', Vogue India reports.

While Large Language Models (LLMs) have made significant strides in replicating human-like abilities, there are concerns about a reduction in the linguistic diversity of their outputs. This results in the homogenization of viewpoints and perspectives, as well as the underrepresentation of specific demographic groups. Although several fine-tuning and prompting techniques have been suggested to tackle the issue, they are often tailored to specific tasks or come with a substantial increase in computational cost and latency. This makes them challenging to apply to applications that demand very low latency, such as chatbots and virtual assistants. We propose Possibility Exploration Fine-Tuning (PEFT), a task-agnostic framework that enhances the text diversity of LLMs without increasing latency or computational cost. Given the same prompt, models fine-tuned with PEFT can simultaneously generate multiple diverse responses, each corresponding with a controllable possibility number. Experiments on dialogue and story generation tasks demonstrate that PEFT significantly enhances the diversity of LLM outputs, as evidenced by lower similarity between candidate responses. Since PEFT emphasizes semantic diversity over lexical diversity, it can also notably reduce demographic bias in dialogue systems. The implementations and datasets are available in our repository: https://github.com/mailong25/peft_diversity

Advances in the AI behind speech recognition are driving growth in the market, attracting venture capital and funding startups, posing challenges to established players. The growing acceptance and use of speech recognition devices are driving the market, which according to an estimate by Meticulous Research is expected to reach $26.8 billion globally by 2025, according to a recent account in Analytics Insight. Better speed and accuracy are among the benefits of the evolving technology. One company in the throes of this new growth, AssemblyAI of San Francisco, is offering an API for speech recognition capable of transcribing videos, podcasts, phone calls, and remote meetings. The company was founded by CEO Dylan Fox in 2017 and has received backing from Y Combinator, a startup accelerator, as well as NVIDIA.

For the past few years, artificial intelligence has become a buzzword in the tech sphere. As more advancements in technology are taking center stage, more companies and people are jumping into the pool of artificial intelligence. With exploding population and high-end experts, India is one of the front-running countries that are striving to streamline artificial intelligence. Because of the country's never-ending efforts, artificial intelligence recruiters and recruiting are also mushrooming. AI recruiters in India, especially, from big companies are seeking talented candidates in machine learning engineering, robotic scientist, data scientist, research analyst, business intelligence developer, etc. Analytics insight has listed the top 10 artificial intelligence recruiters from top-notch companies who could brighten your future.

Members get 60 days free site access, $6.95/article thereafter. Airbnb is colliding with traditional hotel companies like Marriott International and Hilton. In just over a decade, the online lodging marketplace has assembled an inventory of more than 7 million rooms -- six times as much lodging capacity as Marriott managed to accumulate over 60-plus years. In terms of U.S. consumer spending, Airbnb overtook Hilton in 2018 and is on track to move ahead of Marriott.1 Although Airbnb serves similar consumer needs, it is a completely different kind of company.

Colleges around the world have been forced to shut down due to the coronavirus, but a group of students in Japan are not letting the pandemic ruin their graduation. Using Newme telepresensence robots, students attending Business Breakthrough (BBT) University in Tokyo were able to walk across the stage and accept their diploma, all while self-isolating at home. The robots were dressed in a cap and gown and fitted with tablets on their heads, allowing students to show their face using Zoom. Students who attended the graduation remotely operated the robots in what is deemed the'world's first' online graduation ceremony. Four students virtually walked across the stage at the Hotel Grand Palace in Tokyo on March 28.

The healthcare industry has seen a sea of change in the last couple of years: from being autonomous to becoming automated, clinician-centric to patient-centric, disjointed to coordinated, reactive to proactive, retrospective to predictive and siloed to aware – if there is one industry which has undergone a complete transformation, it is undoubtedly healthcare. In this modern era, enhancing patient satisfaction requires business administrators to balance resources with demand, optimize workflows, mitigate waste, contain costs, and facilitate collaboration across the healthcare organization. The growing physician and nurse shortage and the increasingly competitive healthcare industry has made it challenging to attract and retain qualified personnel. With doctor shortage expected to reach 120,000 by the end of 2030, handling the increasingly elderly population has become extremely difficult, if not impossible. This is why optimizing workforce management for high-value care has become a top priority for the business administration at any hospital.

Enterprise firms across the globe are increasingly turning to AI-driven technologies to achieve key business goals. While potential benefits are significant, many firms underestimate the fundamental change necessary to successfully integrate AI into the enterprise. Successful adoption programs need to be developed to fit the particular needs of each organization--from its data strategy, project management, and product development to its engagement with the cloud, customers, and partners. This fall, the Laboratory for Innovation Science (LISH), HBS Digital Initiative, and the Harvard School of Engineering and Applied Sciences (SEAS) will kick off "AI in Enterprise," an invitation-only workshop series for selected executives to learn how to manage expectations and assimilate the knowledge and tools they need to implement a successful transition to AI in the enterprise. The first in the series will focus on AI in finance.

From Istanbul to Los Angeles, Dubai to New York and beyond, Asma Shabab--named a 2019 Woman to Watch for her thought leadership on how technology impacts humanity--is exactly that. "Here's to the rule breakers, the rebels and the transformers," Brandberries editor-in-chief Hamza Sarawy, who compiled the list, wrote. Shabab has always been a rebel, which she defines as continuously exploring how to challenge herself. At school, where she excelled in academics and extracurricular activities, she loved finding creative ways to address whatever was happening around her. Today, in her globe-circling career, she defines rule breakers as those who have the guts to question. "A rule breaker is someone who does things differently," she told Industrious from her Dubai home.

"companies need to both embrace new technology and retain talented recruiters" AI may have only recently emerged into the popular consciousness, but it is certainly not new. People have been researching AI since the 1950s with famous AI systems making headlines in the decades since, including IBM's Watson, which famously won the TV quiz show Jeopardy! in 2011. But AI technology is now cheaper than ever to develop, opening it up to more businesses. And thanks to its ubiquity, AI is slowly becoming a more recognizable part of our daily lives. This proliferation has inspired scare stories about AI taking work away from humans.