AI-360
AI model provides feedback to novice peer counselors, offering objective definitions, improvement suggestions, and specific response recommendations.
Retell AI raised a US$4.6 million seed round led by Alt Capital, the company said in August 2024.
Mila and Airudi's partnership aims to develop AI-driven HR solutions, enhancing recruitment, safety management, and workforce planning for 5,000+ companies.
Cisco announced its intent to acquire Robust Intelligence, Cisco said on 26 August 2024.
University of Cologne's AI digital pathology platform analyses lung cancer tissue samples faster and more accurately, aiding diagnosis and treatment decisions.
Hydrogels, when connected to a virtual environment, can play Pong and improve performance over time, showing memory-like behaviour through ion movement.
The AI sensor, inspired by dung beetles, measures the Milky Way's orientation in low light, potentially improving navigation for drones and satellites.
OpenAI's SearchGPT will integrate Condé Nast content, combining AI models with web sources to provide timely answers and links to original stories.
NVIDIA's StormCast AI model improves mesoscale weather prediction. Forecasts 100+ variables with 10% greater accuracy than NOAA systems. Trained on 3.5 years of climate data, aims to enhance disaster planning and mitigation efforts.
MIT's AI assistant uses theory of mind to monitor team beliefs, intervening to improve collaboration in tasks like search-and-rescue missions.
Google's HeAR AI model analyses cough sounds to detect diseases, trained on 300 million audio samples. It shows promise for early TB detection, outperforms other models, and is available to researchers for developing custom bioacoustic tools.
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's SigLLM framework uses large language models to detect anomalies in time-series data without extensive training, showing promise for complex systems.