MIT Team Speeds Up AI-Based Particle Size Estimator for Drug Manufacturing
MIT researchers use AI to estimate particle size 60x faster in pharma manufacturing, reducing analysis time from 15 to 0.25 seconds.
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.
ChatGPT users gain access to Italian content from GEDI publications. Partnership aims to improve relevance and accuracy for Italian users beyond ChatGPT.
Microsoft enhances AI security with new features: proactive risk assessments, real-time hallucination correction, and confidential inferencing.
Stanford's "Digitalist Papers" explore AI's impact on democracy, featuring 19 experts' essays on governance strategies in the AI era.
Researchers propose labelling AI systems in healthcare with usage info, including training time, data origin, intended use, biases, and warnings.
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.
The Dresden facility, set to open in 2026, will produce 40,000 300mm wafers monthly using advanced FinFET processes, boosting Europe's chip industry.
Google Classroom marks 10 years with AI integration. LearnLM models pilot new features, enhancing personalised learning and teacher efficiency.
MIT's zinc-air microbattery, smaller than a sand grain, powers tiny robots. It uses air to oxidise zinc, generating 1 volt for circuits and sensors.
MIT researchers propose personhood credentials to verify human users online, obtained offline and used optionally to distinguish from AI accounts.
MIT's SigLLM framework uses large language models to detect anomalies in time-series data without extensive training, showing promise for complex systems.
MIT's NeuroTrALE software uses machine learning to process brain imaging data faster, reducing computing time by 90% for 32GB datasets.