These are high-stakes conversations where clinicians must navigate weighty issues, where a poorly chosen word could have lasting consequences on a patient's final days and the memories their loved ones carry forward. Low-quality SIC has been associated with poor patient and family prognostic understanding [5], perceived lack of emotional support [6], lower quality healthcare outcomes and higher costs [7-13]. Communication with advanced-stage cancer patients specifically poses a variety of challenges, including: the volume and complexity of medical information, often fast-paced office visits, and the emotional burden of these life-changing conversations, for clinicians, patients, and their loved ones. Despite their extensive medical training, many physicians struggle to deliver difficult news effectively [14-16], often resulting in patient anxiety, misaligned treatment decisions, and reduced quality of care [17-19]. Also costly is the terms of expensive and potentially burdensome treatments as well as malpractice claims[20].

Abstract-- Task planning for robots in real-life settings presents significant challenges. These challenges stem from three primary issues: the difficulty in identifying grounded sequences of steps to achieve a goal; the lack of a standardized mapping between high-level actions and low-level commands; and the challenge of maintaining low computational overhead given the limited resources of robotic hardware. We introduce EMPOWER, a framework designed for open-vocabulary online grounding and planning for embodied agents aimed at addressing these issues. By leveraging efficient pre-trained foundation models and a multi-role mechanism, EMPOWER demonstrates notable improvements in grounded planning and execution. Quantitative results highlight the effectiveness of our approach, achieving an average success rate of 0.73 across six different real-life scenarios using a TIAGo robot.

Recently, with the emergence of numerous Large Language Models (LLMs), the implementation of AI has entered a new era. Irrespective of these models' own capacity and structure, there is a growing demand for LLMs to possess enhanced comprehension of longer and more complex contexts with relatively smaller sizes. Models often encounter an upper limit when processing sequences of sentences that extend beyond their comprehension capacity and result in off-topic or even chaotic responses. While several recent works attempt to address this issue in various ways, they rarely focus on "why models are unable to compensate or strengthen their capabilities on their own". In this paper, we thoroughly investigate the nature of information transfer within LLMs and propose a novel technique called Attention Transition. This technique empowers models to achieve longer and better context comprehension with minimal additional training or impact on generation fluency. Our experiments are conducted on the challenging XSum dataset using LLaMa-7b model with context token length ranging from 800 to 1900. Results demonstrate that we achieve substantial improvements compared with the original generation results evaluated by GPT4.

In past few years, business process automation vendors have been tasked by business verticals to challenges which caused these vendors to innovate around automation, integration with virtualization and ease of deployment & customization at challenging costs. This improved the way these businesses cater to their customers, and thus raising the bar for time and cost to market. As a result of these changes, traditional businesses are seeking to transform too in order to not only stay alive but thrive. Disruptive technologies are causing increased and intelligent digital footprints for enterprises, enabling them innovative ways to impart value to customers. IPA (a set of RPA, BPM and AI tools) has emerged from the application boundaries of back office to facilitate enterprises convert into efficient and adaptive operating selves and deliver seamless experiences for customers and employees.

Are you a black tech-skeptic? Perhaps you've survived a computer crash, or you're pretty sure Siri has grand plans for world domination (we've all had those thoughts, right?). Well, it's time to cast those fears aside and embrace technology like a long-lost cousin at the family reunion. Embracing technology can provide increased economic opportunities, improve access to education, level up our social economic status, close the digital divide, and build a strong, supportive community. As artificial intelligence (AI) continues to permeate every aspect of our daily lives, the question of who builds, designs, and influences these technologies is of the utmost importance.

Expensive to build and often needing highly skilled engineers to maintain, artificial intelligence systems generally only pay off for large tech companies with vast amounts of data. But what if your local pizza shop could use AI to predict which flavor would sell best each day of the week? Andrew Ng shares a vision for democratizing access to AI, empowering any business to make decisions that will increase their profit and productivity. Learn how we could build a richer society – all with just a few self-provided data points. If you love watching TED Talks like this one, become a TED Member to support our mission of spreading ideas: http://ted.com/membership

Data science is a joint branch of mathematics, business and IT that deals with extracting valuable and meaningful information from large data sets. It allows you to assess the quality of your data and understand patterns and relationships to predict future outcomes. There are four main types of analytics: descriptive, diagnostic, predictive, and prescriptive. You are constantly collecting and analysing data. But what does that data mean?

Picsart, the world's leading digital creation platform and a top 20 most downloaded app worldwide, announced new generative AI tools to create images and ad copy. "There are two huge advantages of this technology: the first is making creativity accessible to new people and the second is increasing productivity for those who already create. The tools we're launching today are the first of many generative AI features we plan to roll out." Growing in popularity, text-to-image generators allow users to create an image from a few words or phrases. Picsart's AI Image Generator provides a unique, free and seamless end-to-end editing experience by offering the ability to create AI images in seconds.

As artificial intelligence (AI) continues its march toward becoming the backbone of digital transformation, it's creating a new class of entrepreneurs. This new class is being empowered by the ability to use AI to generate ideas for and launch new businesses, and it's quickly changing the landscape of business innovation. According to a new report from Boston Consulting Group (BCG), AI is unleashing a new wave of entrepreneurs who are using it to generate new business ideas, create and launch new products and services, and build new businesses. So, I didn't write the above paragraph--the Generative Pre-trained Transformer 3 (GPT-3) model did. The AI so advanced that it even cited a credible source to support its argument.

SmartClick builds deep tech innovations based on artificial intelligence & machine learning. The gaming industry has experienced amazing advances in the past few years. Such rapid transformation has been inspired by tech innovations, constantly evolving trends and increasing demand from gamers for more sophisticated and interactive experiences. With a market value of over $300 billion, the global gaming industry continues to make great strides and connect millions of gamers worldwide. While it may be incredible how much global revenue the market generates, the massive amount of data produced by games is even more impressive.