By: Rohan Saxena

By: Cindy Wen
Jukebox by OpenAI is a neural network that generates a variety of music and rudimentary singing using raw audio data instead of previously used MIDI (Musical Instrument Digital Interface) data. This project has progressively pushed the boundaries of automatic music generation, but there is still a pronounced gap compared to human-generated music.
By: Eric Wang
Neuralink, a company co-founded by Elon Musk, has developed the first fully-implanted, 1000+ channel brain-machine interface. As part of recent advancements in the company’s neuron activity analysis, researchers have enabled monkeys to play a game of pong with just their mind.
By: Rohan Saxena
Obviously AI, an automated machine learning (AutoML) startup, received $3.6 million in a recent seed funding round. The company, based in Berkeley California, aims to reduce the barrier of entry for businesses looking to harness machine learning (ML) and artificial intelligence (AI) for data analysis. The automation of such a complex task may help data scientists and programmers increase their efficiency for now, but one day, it may also take away their jobs entirely.
By: Evan Luksay
Synthetic visual or auditory media developed utilizing advanced deep learning techniques — dubbed Deepfakes — have become nearly indistinguishable from reality, presenting enormous implications, particularly within social and political contexts.
By: Cindy Wen
The process of vaccine development has been exponentially improved through AI/ML systems. Researchers at MIT have developed a 3-step Machine Learning (ML) based approach that provides a possible solution to the vaccine efficacy problem. This computational system has the ability to design potential vaccines with optimized efficacy within various population groups.
By: Rohan Saxena
Fortune 500 manufacturing company Applied Materials has created a new inspection system using AI and Big Data that can efficiently identify defects on semiconductor chips and save producers millions while improving their yield rates.
By: Cindy Wen
Data bias in AI and its discriminatory power creates a pressing danger in the field of medicine. High stakes and potentially life-changing outcomes make it essential for AI algorithms to be constructed and trained with intersectional and diverse sets of data that are representative of the general population.
By: John Cameron
Recruiting is becoming increasingly reliant on AI to complete initial screenings for potential candidates both in video interviews and resume screenings. To remain competitive amid these changes, certain best practices can be utilized to maximize success in the hiring process.
By: Aranyah Shanker
Roboticist, Dr. Peter Scott-Morgan, helped develop an AI-powered system that independently develops speech, during his fight with ALS (a progressive nervous system disease), and continues to raise the quality of life for people with disabilities.

An exploration of the most cutting-edge applications of AI in short, insightful articles published weekly.