2-Min AI Newsletter #2

Welcome to the latest edition of our 2-Min AI LinkedIn Newsletter!

??????? Some of the latest research highlights?

??????Research Scientist wins $70K USD by building an AI model which detects Deep Fakes with a 98.53% accuracy

A one-man team comprising Singaporean research scientist Wang Weimin beat 469 other teams from around the world in a five-month-long challenge to develop the best artificial intelligence (AI) model for detecting deepfakes, or digitally altered video clips. Mr Wang's model was 98.53 per cent accurate at telling apart genuine clips from those that featured digitally manipulated faces, voices or both.

?????Meet ‘Codeball’ – A Deep Learning-based Automated Code Reviewer That Will Help Maintainers Review Github Pull Requests

Data in all forms, whether photos, music, or code, is being created on a large scale. Many GitHub code submissions require reviewers to read over the code and recommend modifications. Reviewing code requires a significant amount of time and effort on the developer’s part. Codeball fills this void. Codeball is a code review AI that approves Pull Requests that a human would have authorized. The AI detects and accepts safe contributions, allowing reviewers to focus their efforts on the difficult ones. Allowing shorter wait times saves a significant amount of money during the evaluation process.

?????Pony.ai loses permit to test autonomous vehicles with driver in California

The California Department of Motor Vehicles revoked Pony.ai’s permit to test its autonomous vehicle technology with a driver on Tuesday for failing to monitor the driving records of the safety drivers on its testing permit.

?????Are You Ready to Lay Your Hands on the World’s First Universal Processor?

Implemented in an advanced 5nm process technology, Tachyum’s first commercial product — the Prodigy Cloud/AI/HPC supercomputer processor chip — offers 4x the performance of the fastest Xeon, has 3x more raw performance than NVIDIA’s H100 on HPC, and has 6x more raw performance on AI training and inference workloads, with up to 10x performance at the same power.

???Startup featured for this issue

???This Surgical Intelligence Platform, 'Theator',?Combines Artificial Intelligence And Computer Vision To Better The Surgeon’s Performance

Theator, a surgical intelligence platform based in San Mateo, California, combines artificial intelligence and computer vision to better the surgeon’s performance. With the help of the machine learning technology used, the surgeons can get well-analyzed summaries of their performance in the surgery alongside the KPI, analytics, and rankings that would help the surgeons acknowledge the skill-set that he/she may lack and then work on the same.?