Research into drugs to treat mosquito-borne flaviviruses such as Zika and dengue as well as COVID-19will benefit from a major funding boost, says a group of international scientists using artificial intelligence to discover new oral antivirals. A research consortium led by the non-profit COVID Moonshot has been awarded more than US$68 million from the US National Institutes of Health (NIH) to discover and develop globally accessible and affordable novel oral antivirals to combat COVID-19 and future pandemics. The development comes as monkeypox outbreaks have been declared around the world, raising concerns about the rapid spread of such viruses. Monkeypox is a viral disease that the World Health Organization says has emerged in at least 23 countries where the disease is not regularly found since 13 May. The open-science COVID Moonshot was established in 2020 with the objective of developing a safe, globally accessible and affordable antiviral pill for COVID-19.

GT caught up with state technology leaders at the recent National Association of State Chief Information Officers Midyear conference. Here's what they had to say about artificial intelligence, chatbots, blockchain and other headline-grabbing technologies. ARTIFICIAL INTELLIGENCE Amanda Crawford, Texas: We use AI today. We certainly use robotic process automation in a variety of applications and projects across the state. One of the exciting areas for us is using AI for security.

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Remitly is on a mission to transform the lives of immigrants and their families by providing the most trusted financial products and services on the planet. Since 2011, we have been tirelessly delivering on our promises to immigrants sending their hard earned money home. Today, we are incredibly proud to have served millions of customers globally with Remitly and our newly launched Passbook app to provide immigrants access to banking. We strive daily to meet our promise to our customers by building peace of mind into everything we do. Join over 1,800 employees across 9 offices who are growing their careers while having a positive impact on people globally.

We are building cutting edge solutions that help reveal the truth for a safer world and we are looking for Senior Machine Learning Engineers to help us do this! You will engineer machine learning models, tooling and data pipelines for our linked data ecosystem and work within one of our squads, depending on your skills and experience. As a Senior Machine Learning Engineer you will have the opportunity to completely shape our ways of working making a positive impact on our customers and helping us make financial crime a thing of the past. Since launching in 2014, we have been on a mission to neutralize the risk of money laundering, terrorist financing, corruption, and other financial crime on a global scale through our propriety AI-driven technology. In that time, we have raised over $100m in funding, have four global hubs located in New York, London, Singapore and Cluj-Napoca and have nearly 400 employees, with ambitious plans to get to 500 by the end of the year!

At Kinaxis, who we are is grounded in our common belief that people matter. Each one of us plays an important part in accomplishing our work, building our culture and making a global impact. Every day, we're empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet – for each other, for our customers and for generations to come. Our cloud-based platform RapidResponse ensures that the products we need – everything from medicine and cars, to day-to-day items like toothpaste – make it to market and into our hands when we need them with minimal ecological footprint.

The pandemic accelerated a phenomenon that was already taking place across industry: digital transformation. Lockdowns and similar changes in our behaviours drove a massive increase in demand for online services and this demand is now unlikely to return to pre-pandemic levels. In reaction to this, businesses of all shapes and sizes are striving to make their existing business models increasingly automated and digital-first in a bid to avoid being disrupted. They are also disrupting themselves, changing their ways of working using data and technology in a bid to improve their products and services, remain competitive and create new markets. Central to successful digital transformation is the effective use of data.

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

At FREE NOW we are at an exciting point in our history - we are building a world-class product that is being used daily by more than a million people. We are a part of one of the most dynamic spaces for innovation in today's world: shaping mobility. Our daily business is solving large-scale, complex problems – and we love it! We are keen on hiring a Senior Data Scientist (m/f/d) for designing and implementing the models that enable our business to make even smarter and more efficient marketing decisions. Being part of the Marketing&Growth workstream, you will work closely with data analysts, machine learning engineers, and other data scientists while collaborating with business stakeholders and market specialists on a daily basis.

Magic and hype: Two words that are frequently applied to artificial intelligence. Today, solutions leveraging the power of artificial intelligence are already paying off in robotics, automation, and manufacturing. AI is powering predictive systems, increasing the capabilities of robots, improving the precision of machine vision, and helping businesses optimize their processes to improve quality and reduce waste. This Association for Advancing Automation (A3) whitepaper will examine six application spaces where AI is already taking hold in automation and manufacturing. We will discuss how the technology is making a difference and what you should consider in your enterprise's AI journey.