Rwanda Climate Finance Partnership Powers Innovative Climate Action
The Rwanda Climate Finance Partnership, inaugurated during the Paris Summit for a New Global Financing Pact, aims to amplify innovative climate action alongside contributions from the Government of Rwanda. Diverse Support for the Partnership Supported by key entities such as Agence Française de Développement (AFD), the European Union, Team Europe,
Read MoreHashtag Trending Dec.8- Meta’s Purple Llama for cybersecurity; Memory vulnerabilities in C/C++ languages; McDonald’s to integrate AI in its operations
Purple Llama combines the red and blue team for AI. C+ gets an F in security because of memory vulnerabilities. Missing files in Google? Here’s a fix – but don’t ask questions. Apple launches some free machine learning tools and “would you like AI with that?” McDonalds is diving big
Read MoreThreads is rolling out its hashtags without the hash symbol globally
Meta’s social network Threads got a major update Thursday as the company started rolling out tags (without the hash symbol) on the platform. Users will be able to tag only one topic per post to avoid tag spam. The company began testing the tag feature in Australia last month, and
Read MoreAVEVA Highlights Critical Role of Digitalization to Fast-track Industrial Decarbonization
AVEVA, a global leader in industrial software, driving digital transformation and sustainability, is demonstrating at COP28 how leveraging data in a connected industrial economy can accelerate the path towards a sustainable future. AVEVA is a gold sponsor of the International Chamber of Commerce pavilion within the Blue Zone of the
Read MoreOne weird trick for teaching users your software
Ben talks with James Evans, cofounder and CTO of CommandBar, an AI-powered user assistance platform, about the software usability challenges CommandBar wants to address, the evolution of the company’s natural language search bar, and the future of dynamic interfaces and universal agents.
Read MoreIndia’s top VCs face fresh obstacles as startup investment plummets
High-flying venture investors in India managing hundreds of millions of dollars are tempering expectations, making early-stage startup bets that in best-case scenarios they hope will return 3 to 5 times invested capital. Several leading India investors including Peak XV Partners, Elevation Capital, Lightspeed, Nexus and Accel have raised $500 million-plus
Read MoreBacked by Cresta founders, Trove’s AI wants to make surveys fun again
Surveys have become an integral part of many aspects of our lives, but most of them are tedious, leading to ineffective responses and actions. Dinghan Shen and Yuan Xue, two software engineers working in Silicon Valley, recognized an opportunity to leverage the breakthroughs brought by large language models to make
Read MoreCanadian privacy czars release principles for responsible development of AI
On the heels of cybersecurity guidance for generative AI systems issued by the federal government, Canada’s federal, provincial, and territorial privacy regulators have issued their own set of privacy-related principles to be followed. Announced Thursday, the principles are aimed at advancing the responsible, trustworthy and privacy-protective development and use of generative
Read MoreAnalytics Unleashed keynoter Scheibenreif examines how ‘we shape AI, AI shapes us’
In a presentation at IT World Canada’s Analytics Unleashed on Tuesday, Gartner Distinguished VP analyst Don Scheibenreif discussed what organizations need to do in order to handle the generative artificial intelligence (GenAi) juggernaut and artificial intelligence (AI) in general. The content he delivered was originally seen by a packed house
Read MoreAnthropic’s latest tactic to stop racist AI: Asking it ‘really really really really’ nicely
The problem of alignment is an important one when you’re setting AI models up to make decisions in matters of finance and health. But how can you reduce biases if they’re baked into a model from biases in its training data? Anthropic suggests asking it nicely to please, please not
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