Songwriters of global hits getting sued for alleged plagiarism has become a recurrent story on MBW these past few years – and a recurrent source of misery for writers and their representatives in the industry. But what if a songwriter or composer were able to use AI technology to avoid litigation altogether, by finding out if their song copies elements of other compositions, potentially in real time? That could now be a reality, thanks to a Spotify invention revealed in a new European patent filing from the company obtained by MBW. According to a document published last week, Daniel Ek's company is seeking a patent for its "Plagiarism Risk Detector And Interface" technology, which pertains to "Methods, systems and computer program products..for testing a lead sheet for plagiarism". As explained in the filing – and as our songwriter/musician readers will already know – a'lead sheet' is a type of music score or musical notation for songs denoting their melody, chords and sometimes lyrics or additional notes.

Although Apple's latest A14 Bionic chip enabled the iPhone 12 family and iPad Air tablets to deliver impressive performance improvements, Qualcomm is making clear that the next generation of Android devices will rely heavily on advanced AI and computer vision processors to retake the performance lead. Teased yesterday at Qualcomm's virtual Tech Summit, the Snapdragon 888 is getting a full reveal today, and the year-over-year gains are impressive, notably including the largest jump in AI performance in Snapdragon history. The Snapdragon 888's debut is significant for technical decision makers because the chip will power most if not all of 2021's flagship Android phones, which collectively represent a large share of the over two billion computers sold globally each year. Moreover, the 888's increasing reliance on AI processing demonstrates how machine learning's role is now critical in advancing all areas of computing, ranging from how devices work when they're fully on to what they're quietly doing when not in active use. From a high-level perspective, the Snapdragon 888 is a sequel to last year's flagship 865 chips, leveraging 5-nanometer process technology and tighter integration with 5G and AI chips to deliver performance and power efficiency gains.

Research Shows Bright Spot for Optical Computing Through Artificial Intelligence.

Students from elementary to high school can take a course in AI and its societal and ethical implications offered within the year by the Microsoft and …

The notion of an advanced artificial intelligence threatening humanity is about … The malicious AI trope has generated at least two blockbuster series …

Efficiently navigating a superpressure balloon in the stratosphere1 requires the integration of a multitude of cues, such as wind speed and solar elevation, and the process is complicated by forecast errors and sparse wind measurements. Coupled with the need to make decisions in real time, these factors rule out the use of conventional control techniques2,3. Here we describe the use of reinforcement learning4,5 to create a high-performing flight controller. Our algorithm uses data augmentation6,7 and a self-correcting design to overcome the key technical challenge of reinforcement learning from imperfect data, which has proved to be a major obstacle to its application to physical systems8. We deployed our controller to station Loon superpressure balloons at multiple locations across the globe, including a 39-day controlled experiment over the Pacific Ocean.

His research in artificial intelligence emphasizes user utility. "We form … "PSL is different from deep learning because of the way you can express soft …

This chip could increase the processing power of your next Raspberry Pi-powered Machine Learning project.

But what if we could use machine learning to help with this problem of scheduling, making observations shorter or more efficient so we could get …

We introduce a new machine learning based technique to detect exoplanets using the transit method.