Tech enthusiasts and AI experts want to stay ahead of the game in the fast-evolving AI world. Events and conferences provide insightful platforms to these tech enthusiasts, helping them stay connected in space and also exchange the latest ideas and theories. Additionally, they provide a great platform for researchers to showcase their advancements in research…
© Charu Gupta Artificial intelligence: It’s a fine balancing act between opportunities and pitfalls Artificial intelligence is also hailed as a tool to promote fairness but as AI finds greater use in industry, social spheres and daily life, it is facing scrutiny over biases that can creep into algorithms that power it. The tech industry…
Declarative machine learning (ML) attempts to automate the generation of efficient execution plans from high-level ML problems or method specifications. The overriding goal is to make ML methods easy to use and/or construct, which is especially important in the context of complex applications. In this article, we will have a look into what declarative learning…
By Sarah Beale Regulators seem hesitant to come out with regulations about software as a medical device (SaMD) with artificial intelligence/machine learning (AI/ML). The U.S. Food and Drug Administration has an “Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan” and they’re in the process of gathering feedback from stakeholders. Recently released…
There are increasing concerns that ‘Artificial Intelligence’ Has Become Meaningless. Today’s “AI has become meaningless” and “often just a fancy name for a computer program”, software patches, like bugfixes, to legacy software or big data bases to improve their functionality, security, usability, or performance. Its key part, ML is mere the application of statistical methods and…
There are increasing concerns that ‘Artificial Intelligence’ Has Become Meaningless. Today’s “AI has become meaningless” and “often just a fancy name for a computer program”, software patches, like bugfixes, to legacy software or big data bases to improve their functionality, security, usability, or performance. Its key part, ML is mere the application of statistical methods and…
by Disha Sinha December 28, 2021 Online machine learning courses are on high demand from students and working professionalsAspiring techies and working professionals have identified the core domain of cutting-edge technologies such as artificial intelligence and machine learning. There is a radical shift from focusing on traditional engineering courses to machine learning courses. Educational institutes…
By 2030, China plans to become the world’s leading country in artificial intelligence (AI). Beijing’s AI development and implementation approach are fast-paced and pragmatic, with a focus on finding applications to help solve real-world problems. Several advances are being made in healthcare, such as “AI doctor” chatbots, machine learning for pharmaceutical research, and deep learning…
Representative image& |  Photo Credit: iStock Images The great misconception about artificial intelligence (AI) is that it will overtake the world suddenly by replacing the human mind with legions of sentient robots. Perhaps in some distant future, AI will reach a level of sophistication to allow for a race of artificial minds. But we aren’t remotely…
The rapid digitalisation accelerated due to the pandemic has brought numerous benefits like improved business agility and customer experiences. But there have also been negative effects like increased vulnerability to cybersecurity threats for your data and applications. A cyberattack is a malicious and deliberate attempt to breach the computer and information systems of an individual…
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