In October and November of 2019, the NAVAIR Small Business Innovation Research (SBIR) program participated in the DoD 2019.3 Broad Agency Announcement (BAA) Inaugural Navy Technology Acceleration program directed at Artificial Intelligence/Machine Learning (AI/ML), with specific focus areas in Readiness and Sustainment, Unmanned Aircraft Systems, Autonomy and Automation, Predictive Maintenance, Cyber, Counter AI, and Digital-Streamlining…
Google to teach journalists power of AI, machine learning in newsroom San Francisco, May 7 (IANS) Google has launched a free training course in 17 languages to teach journalists around the world what impact can Artificial Intelligence (AI) and Machine Learning (ML) have on their profession. In a global survey conducted by Google last year…
Newsrooms need to take advantage of what AI can offer and come up with new a business model. Credit: Shutterstock The economic fallout from the COVID-19 pandemic has caused an unprecedented crisis in journalism that could decimate media organizations around the world. The future of journalism—and its survival—could lie in artificial intelligence (AI). AI refers…
special feature Managing AI and ML in the Enterprise The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus build. Read More Ninety-one percent of artificial intelligence professionals say increased…
The quest for nuclear fusion energy is increasingly being aided by advancements in machine learning and artificial intelligence, experts say. Algorithms are being deployed to predict disruptions that could potentially occur during experiments and may help turn the long-discussed energy source—which is based on the same process that naturally powers the Sun and stars—into reality….
To make decisions more quickly and accurately, enterprises are increasingly turning to machine learning, arguably today’s most practical application of AI. Machine learning systems apply algorithms to data to glean insights into that data without explicit programming: It’s about using data to answer questions. As such, companies are applying machine learning to a wide array…
Sunil MiraniMay 06, 2020 13:25:52 ISTIn 1918, the world faced a devastating pandemic of an avian origin virus, H1N1. It affected not only the health of people across the world, but also the global economy. It is estimated that about one-third of the world’s population was infected and that at least 50 million died. The…
Commentary: We still spend far too much time training machine learning models rather than deploying them. Could MLOps–which brings data scientists and DevOps together–be a solution? Image: Chinnawat Ngamsom, Getty Images/iStockphoto We’re definitely beyond the science project years of artificial intelligence (AI) deployments, and we’ve got work to do before we get past the “brittle”…
The quest for nuclear fusion energy is increasingly being aided by advancements in machine learning and artificial intelligence, experts say. Algorithms are being deployed to predict disruptions that could potentially occur during experiments and may help turn the long-discussed energy source—which is based on the same process that naturally powers the Sun and stars—into reality….
This is part 3 of a three-part series examining the effects of robots and automation on employment, based on new research from economist and Institute Professor Daron Acemoglu. Modern technology affects different workers in different ways. In some white-collar jobs — designer, engineer — people become more productive with sophisticated software at their side. In…
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