Few symphonies are as well-known as Beethoven's Ninth, an assertion supported by the fact that it's no doubt playing in your head even as you read this. Few symphonies are less well-known -- at least by Beethoven's standards -- than his Tenth, primarily because he never actually got the thing finished. He did make a start on it, however, and at his death in 1827 left behind notes and drafts composed alongside the Ninth, which had also been commissioned by the Royal Philharmonic Society. Such is Beethoven's stature that his enthusiasts have been speculating ever since on what his incomplete symphony would sound like if completed, employing any techniques to do so that their time put at hand. "In 1988, musicologist Barry Cooper ventured to complete the first and second movements," writes Rutgers University Art & AI Lab director Ahmed Elgammal at The Conversation.

On May 31, 2021, it is shown that didi auto-driving completed a new round of strategic financing with an amount of over US $300 million, and the investor was GAC group. Since its split in 2019, Didi has raised more than the US $1.1 billion in total. In 2016, Didi began to develop and test automatic driving. In August 2019, Didi upgraded its automatic driving department to the company. On May 29, 2020, Didi travel announced that its autonomous driving company had completed the first round of financing of over US $500 million, which was led by Softbank vision fund phase 2. On January 28, 2021, Didi autopilot completed a $300 million financing.

ISRO has invited applications from interested candidates for a free online course called "Machine learning to Deep Learning: A journey for remote sensing data classification". The short course can be completed in five days, and participants will also receive a certificate. The course will be conducted through the Indian Institute of Remote Sensing (IIRS) as part of its outreach program. The program coordinator is Dr. Poonam S Tiwari who is from the IIRS DLP team. The ISRO free online course will be conducted from 5 to 9 July in the evening from 4 to 5:30 PM.

Check out this amazing Visualization.

Check out the code from here. Check out the code from here. Check out the code from here. Moving forward into #100DaysOfMLCode today I dived into the deeper depth of what actually Logistic Regression is and what is the math involved behind it. Learned how cost function is calculated and then how to apply gradient descent algorithm to cost function to minimize the error in prediction.

On today's human computation systems, designing tasks and workflows is a difficult and labor-intensive process. Can workers from the crowd be used to help plan workflows? We explore this question with Turkomatic, a new interface to microwork platforms that uses crowd workers to help plan workflows for complex tasks. Turkomatic uses a general-purpose divide-andconquer algorithm to solve arbitrary natural-language requests posed by end users. The interface includes a novel real-time visual workflow editor that enables requesters to observe and edit workflows while the tasks are being completed. Crowd verification of work and the division of labor among members of the crowd can be handled automatically by Turkomatic, which substantially simplifies the process of using human computation systems. These features enable a novel means of interaction with crowds of online workers to support successful execution of complex work. Figure 1: Turkomatic harnesses crowds to plan and execute complex work requested in natural language.