MIT Researchers Develop 'Future You'
MIT's 'Future You' AI system enables users to converse with simulated 60-year-old selves, aiming to reduce anxiety and improve long-term decision-making.
MIT's 'Future You' AI system enables users to converse with simulated 60-year-old selves, aiming to reduce anxiety and improve long-term decision-making.
MIT create a dataset of 5,000 'illusory' faces, revealing differences between human and AI face detection and potential links to animal face recognition.
MIT's Clio enables robots to map scenes and identify task-relevant objects using natural language prompts, combining computer vision, language models, and mapping tools.
Meta's Reality Labs release a dataset of 2,400+ detailed 3D object models, aiming to accelerate 3D reconstruction research for e-commerce and immersive reality.
MIT researchers use AI to estimate particle size 60x faster in pharma manufacturing, reducing analysis time from 15 to 0.25 seconds.
Mercado Libre launches Verdi, an AI platform using GPT-4o, handling 10% of customer service and potentially supporting 9,000 human operators.
Manhattan Declaration proposes 10 principles for global AI governance. Experts emphasise cooperation, risk assessment, and responsible development.
Llama 3.2 introduces vision models and lightweight text models for edge devices. New 128K token context length enables advanced on-device AI tasks.
Tech giants' retreat from OpenAI's board reflects growing regulatory concerns over AI partnerships and their impact on market competition.
SAG-AFTRA has taken a step forward in protecting the rights of artists. On the 10th of April, the union, representing 160,000 media professionals, has reached a tentative agreement with major record labels that includes ground breaking protections against the use of AI in the music industry.
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.