The world gets together to create a Virtual Earth to fight climate change
According to the IMF, climate change could shave 11%-14% off global economic output by 2050 compared with growth levels without climate change. As per World Bank,global food insecurity could push an additional 100 million people into poverty by 2030. There is an urgent need to forecast climate with a greater accuracy that could better prepare us for risk mitigation. And now, scientists are creating a digital twin of the Earth that would be simulated in unprecedented detail to analyse the climate system in a way that has never been possible before.
Generative AI to deliver ROI in two years
A Forrester report on the top 10 emerging technologies of 2023 lists generative AI, autonomous workplace assistants, and conversational AI as the top three technologies that are poised to deliver a return on investment in less than two years. The benefits of using these technologies include improved digital experiences, faster content generation, and improved content quality.
Carnegie Mellon study finds AI breach
In a most recent paper released on 27 July, Carnegie Mellon researchers have uncovered a new vulnerability, proposing a simple and effective attack method that causes aligned language models to generate objectionable behaviours with a high success rate. Their study shows how a simple trick could fool any of the leading chatbots to generate nearly unlimited amounts of harmful information.
India’s Internet Economy
The flourishing internet economy in India presents a compelling opportunity for businesses to capitalise on. Leveraging digital technologies has become critical for streamlining the operating model and driving growth.India’s journey is a compelling narrative of rapid growth, digital maturity, and persistent innovation. India has stepped into its ‘Digital Decade’, primed to become a $1-trillion internet economy by 2030, albeit interspersed with unique challenges.
‘The Curse’ of Large Language Models – Part II
What happens when Generative Artificial Intelligencebegins to train themselves on content/data generated by their other Generative AI models? Researchers found that it triggered a ‘model collapse’, a degenerative process where generated data ends up polluting the training set of the next generation of models. As AI begins to dominate the content landscape, the value of real human interaction data will skyrocket – presenting a unique challenge for the future of AI development.
Marketing Strategies in a Low-Budget Scenario
As the global economy slows and fiscal constraints become more prevalent, an organisation’s capacity to manoeuvre resources effectively and judiciously becomes more important than ever before. With a limited marketing budget, every pound spent must be carefully planned to ensure it provides the maximum possible return on investment.
Meta opens up its data, content library
As regulators across the world get tough on how Big Tech is gathering our personal data and using it, companies are trying to be proactive in sharing what they do with our data before things become too hot.Facebook’s parent company Meta has announced that it will start rolling out a new suite of tools for researchers: Meta Content Library and API.Meta is striving to build a more open and accountable digital ecosystem and is trying to act in a way that shows a readiness to act for responsible advancement of technology.
The Veil of Ignorance in AI Making Ethical Choices
As artificial intelligence (AI) becomes more deeply integrated into our lives, the ethical questions surrounding its use and deployment are becoming increasingly important. Who decides how AI is used? What values guide its behaviour? And how are these values selected?There is no consensus yet on a single set of human values or preferences to govern AI.
AI cannot get smarter unless it senses the world
Despite the worldwide buzz about artificial intelligence (AI) systems soon outwitting humans and taking control, a new research conducted by scholars at the University of Sheffield concludes that as long as AI systems continue to be trained in the current modeland designed using current architecture, it is highly unlikely that they will ever develop human-like cognition.
Botnet attacks emerge as key force
According to Kaspersky, botnets are networks of hijacked computer devices used to carry out various scams and cyberattacks. Bots, currently make up 47% of all internet traffic, while human beings account for just over half.Bad bots, programmed to make things fail or work in favour of bad actors, are causing more harm than ever before.With active devices no longer limited to specific geographies like Eastern Europe and Asia as in the past, botnet attacks emerge as key force behind global DDoS attacks.