R. Erdem Erkul

Cerebrum Tech made its debut in the world of mobile applications with Cere, a virtual character powered by artificial intelligence

Retrieved on: 
Friday, March 24, 2023
Enterprise, Music, Food, Education, AAN, 3D, Virtual character, ChatGPT, R. Erdem Erkul, App Store (iOS/iPadOS), Intelligence, Human, Research, Emotion, Language, Movement, Internet, 2011 SCCA Pro Formula Enterprises season, Artificial intelligence, Sport, Google Play, Health, News, Social media, Mobile phone, Beak

Utilizing a deep learning-based language model, Cere allows mobile phone users to communicate through both text and voice.

Key Points: 
  • Utilizing a deep learning-based language model, Cere allows mobile phone users to communicate through both text and voice.
  • As a highly empathetic language model, Cere is the first-of-its-kind, showcasing the company's commitment to developing innovative mobile applications that enhance the user experience.
  • With its user-friendly mobile application, Cere empowers users to effortlessly integrate the power of artificial intelligence into both their personal and professional lives."
  • Cerebrum Tech, a forward-thinking technology company focused on developing sustainable web3 ecosystems, has announced the launch of its latest creation - the artificial intelligence chat robot, Cere.

Cerebrum Tech made its debut in the world of mobile applications with Cere, a virtual character powered by artificial intelligence

Retrieved on: 
Friday, March 24, 2023
Enterprise, Music, Food, Education, AAN, 3D, Virtual character, ChatGPT, R. Erdem Erkul, App Store (iOS/iPadOS), Intelligence, Human, Research, Emotion, Language, Movement, Internet, 2011 SCCA Pro Formula Enterprises season, Artificial intelligence, Sport, Google Play, Health, News, Social media, Mobile phone, Beak

Utilizing a deep learning-based language model, Cere allows mobile phone users to communicate through both text and voice.

Key Points: 
  • Utilizing a deep learning-based language model, Cere allows mobile phone users to communicate through both text and voice.
  • As a highly empathetic language model, Cere is the first-of-its-kind, showcasing the company's commitment to developing innovative mobile applications that enhance the user experience.
  • With its user-friendly mobile application, Cere empowers users to effortlessly integrate the power of artificial intelligence into both their personal and professional lives."
  • Cerebrum Tech, a forward-thinking technology company focused on developing sustainable web3 ecosystems, has announced the launch of its latest creation - the artificial intelligence chat robot, Cere.

Kernal Biologics Announces Presentations at The International mRNA Health Conference

Retrieved on: 
Wednesday, November 9, 2022
R. Erdem Erkul, Spleen, Liver, Engineering, Patient, Blood, Cancer, RNA transfection, Immune system, Bone marrow, Transcriptome, LNP, Conference, Tissue, Survival rate, M.D, Social media, International, Quality of life, Multimedia, Therapy, Vaccine

CAMBRIDGE, Mass., Nov. 9, 2022 /PRNewswire/ -- Kernal Biologics, Inc. (Kernal Bio) — a development-stage mRNA-technology company developing cancer therapeutics designed to improve patients' survival rate and quality of life — today announced it will have three presentations at the International mRNA Health Conference being held in Boston and virtually from November 8th to 10th, 2022.   

Key Points: 
  • "We are delighted to present our work at this year's International mRNA Health Conference.
  • "In a preclinical study of KR-335, our tumor-selective mRNA LNP, we demonstrate tumor regression, improved overall survival and complete responses across different murine tumor models as a monotherapy."
  • "When expanding into therapeutic modalities, like cancer, universal translation of mRNA may become harmful.In another presentation, we demonstrate how it's possible to develop mRNA 2.0 - novel mRNA therapies using engineered mRNA molecules to translate in specific tissues and cell types.
  • Kernal Bio established a machine learning-backed computational pipeline to analyze transcriptome and translatome datasets across cell types and disease state to discover cell-specific mRNA sequence features.