AI-360

Google expanded its AI wildfire tracking system to 15 new countries in Europe and Africa. The tool analyses satellite imagery to provide accurate fire boundaries on Google Search, Maps, and via notifications. It reached 1.4 million people in its first week of expansion.

Perplexity launches Publishers' Programme with revenue sharing, API access, and enterprise tools. Partners include TIME and Der Spiegel. Aims to align AI technology with quality journalism and expand content access.

Google's Project Green Light uses AI to optimise traffic light timing in cities worldwide. Using Google Maps data, it aims to reduce stop-and-go emissions by up to 10% at intersections. The project is live in over 70 intersections across a dozen cities.

Stanford study finds cultural backgrounds shape AI preferences. European Americans prefer control, while Chinese seek connection with AI. African Americans fall between.

Credo AI announced US$21 million in new capital and new leadership hires, the company said on 30 July 2024.

Alan Turing Institute's 2024 lecture series explores AI's impact on democracy, addressing deepfakes, bias, and trust in three expert-led discussions.

OpenAI's SearchGPT prototype combines AI models with web info to provide quick answers and clear source attribution, currently in limited testing.

The AI agent will merge Salesforce's CRM data with Workday's HR info, enabling natural language communication for easier employee task completion.

OpenAI's new Rule-Based Rewards method improves AI safety without extensive human data collection. It uses simple rules to evaluate outputs, balancing helpfulness and safety in AI models.

Mistral Large 2, a new AI model, handles 128,000 words of context and many languages. It's better at coding, math, and reasoning, with less incorrect information.

Meta releases Llama 3.1: 128K context, 8 languages, 405B model. New safety tools: Llama Guard 3, Prompt Guard, CyberSecEval 3. Open-source approach.

Meta's Llama 3.1: 405B parameter open-source AI model. 128K token context, 8 languages. New safety tools: Llama Guard 3, Prompt Guard, CyberSecEval 3.

NVIDIA launches four NeMo Retriever NIM microservices to improve LLM accuracy and performance. These tools enable efficient retrieval-augmented generation, connecting models to business data. They offer 30% fewer inaccurate answers in enterprise applications and integrate with various platforms.

NVIDIA's new NeMo Retriever microservices improve AI accuracy by efficiently fetching relevant business data. They reduce inaccurate answers by 30% in enterprise settings.

NVIDIA's AI and GPU advancements yield significant energy efficiency gains across industries, with users reporting substantial savings in finance and manufacturing.