Top Trends: Insightful News Highlights in Brief

In the ever-evolving landscape of technology, the latest updates on AI applications have made significant strides in various sectors, particularly in healthcare, pharmaceuticals, marketing, R&D, and beyond.

In the healthcare and pharmaceuticals realm, AI, notably generative AI, is revolutionizing the industry by analysing vast datasets to predict trends, manage illnesses, and optimize resource allocation. This enhancement in patient care and system efficiency is a testament to AI's potential. In pharmaceuticals, AI is accelerating drug discovery and clinical trials, potentially saving 25-50% time and costs. For instance, generative AI models have been utilised to simulate treatments for sepsis and mimic COVID-19 to test interventions like social distancing and vaccination. Companies like Adaptyv Bio and Pharma.AI (Insilico Medicine) are pioneering AI-driven drug and protein design, with some AI-developed drugs already in clinical trials.

AI also supports omics-based target identification, in silico molecule design, high-throughput screening, and pharmacokinetics/pharmacodynamics analyses to improve drug development success rates and reduce costs.

Generative AI is also making waves in advertising and marketing, enabling marketers to create content faster, personalize customer experiences, and optimize campaigns. For example, Nike uses AI and AR to recommend shoe fits via its Nike Fit app, while Starbucks employs AI to free employees from manual tasks to focus on customer engagement.

AI is increasingly crucial in science-driven product industries such as chemicals and materials, where it accelerates innovation and product development through simulation, modeling, and data mining. Pharmaceutical R&D notably benefits from AI by improving candidate quality and trial efficiency.

AI adoption is expanding in other industries as well. The publishing industry is leveraging AI to enhance editing, translation, and content generation, boosting productivity and global market reach. AI-driven automation is expected to lead to significant job restructuring, with major companies forecasting white-collar job cuts and emphasizing reskilling.

The banking sector anticipates substantial revenue gains from AI technologies, while manufacturing firms using AI report better performance compared to traditional methods.

Notable developments post-March include the adoption of AI in the publishing industry to enhance productivity, AI-driven automation leading to job restructuring, and the banking sector expecting substantial revenue gains from AI technologies.

In other news, Agility Robotics, a U.S.-based robotics company, has created a humanoid robot called Digit, the first humanoid robot made for warehouse work to be commercially available. Capable of lifting containers from warehouse walls, moving them to their next station, and returning to its charging station, Digit is set to revolutionise warehouse work.

The U.S. Department of Commerce has launched the Regional Economic Research Initiative to improve data collection and analysis on regional economies. Google is adding an AI system that can detect raised hands during Meet video calls to its Workspace for Education suite. Microsoft has launched an AI-powered chatbot focused on cybersecurity. The U.S. Transportation Security Administration is expanding a digital ID pilot program to Luis Muñoz Marín International Airport in Puerto Rico and Nashville International Airport in Tennessee, allowing travelers to use a digital version of their state ID card or driver's license on a smartphone for identification.

Japan's Riken research institute has started granting access to its 64-qubit quantum computer to external researchers. Zoom IQ can now summarise meetings and chat threads, design whiteboards, and draft responses to chats. A team of researchers led by Central South University in China has created an AI system that assesses the severity of psoriasis and predicts its progression with over 80 percent accuracy. Researchers at the California Institute of Technology have developed a smart bandage that monitors and medicates patients' wounds, collecting data on uric acid levels, pH, temperature, and transmitting it to a device.

The smart bandage designed by California Institute of Technology researchers also holds and applies medication when necessary and delivers low-voltage electrical currents to speed the healing process. In a sports-related development, The Masters Tournament has partnered with IBM to add two AI-powered features to its app, generating commentary for over 20,000 video clips of golf during the tournament and predicting players' scores for each hole.

In summary, by March 2023, AI applications were rapidly evolving to enhance efficiency, creativity, and innovation in healthcare, pharmaceuticals, marketing, R&D, and beyond, setting a foundation for transformative growth in the coming years.

In the healthcare and pharmaceuticals sector, AI, specifically generative AI, is revolutionizing the industry by analyzing vast datasets to predict trends, manage illnesses, and optimize resource allocation, showcasing its potential for significant advancements in patient care and system efficiency.
AI is not only transforming healthcare but is also accelerating drug discovery and clinical trials in the pharmaceutical industry, potentially saving 25-50% time and costs. For instance, generative AI models have been used to simulate treatments for sepsis and mimic COVID-19 to test interventions like social distancing and vaccination.
AI is making strides in advertising and marketing, enabling marketers to create content faster, personalize customer experiences, and optimize campaigns. For example, Nike uses AI and AR to recommend shoe fits via its Nike Fit app, while Starbucks employs AI to free employees from manual tasks to focus on customer engagement.
AI is increasingly crucial in science-driven product industries such as chemicals and materials, where it accelerates innovation and product development through simulation, modeling, and data mining, thereby improving overall efficiency and performance.
AI adoption is expanding beyond these industries, with the publishing industry leveraging AI to enhance editing, translation, and content generation, increasing productivity and global market reach. AI-driven automation is anticipated to lead to significant job restructuring, necessitating reskilling in various sectors.