The helmet sounds an alarm if anyone has a fever. If you think that something is missing, you're right. We haven't mentioned AI -- …

A prominent approach is to generate music symbolically in the form of a piano roll, which specifies the timing, pitch, velocity, and instrument of each note to be played. This has led to impressive results like producing Bach chorals, polyphonic music with multiple instruments, as well as minute long musical pieces. But symbolic generators have limitations--they cannot capture human voices or many of the more subtle timbres, dynamics, and expressivity that are essential to music. A different approach[1] is to model music directly as raw audio. Generating music at the audio level is challenging since the sequences are very long.

Mountain gorillas have been caught on camera as they "sing" during their supper, a behavior that has never before been documented on video. Filmmakers captured the astonishing footage of the primate crooners with a little help from a very special camera: a robotic "spy" designed to look like a young gorilla. The singing apes make their television debut on April 29 in the returning PBS series, "Nature: Spy in the Wild 2." Like its predecessor, which first aired in 2017, the program documents remarkable up-close glimpses of elusive wildlife behavior, seen through the "eyes" of robots that are uncanny lookalikes of the creatures that they film. But this time, the robot animals display an even greater range of realistic behaviors, enabling them to interact with the wildlife that they're spying on. Though human camera operators typically keep a safe distance from wild gorillas, the lifelike animatronic gorilla spy was able to infiltrate a troop and film their daily routines, which included an impromptu suppertime serenade. Footage of the singing gorillas is featured in the first episode of "Spy in the Wild 2" and shows the apes reclining amid dense foliage in a sanctuary in Uganda.

Using the power of machine learning models, Project ADAM is exploring how to improve forecasting for spare parts demand around the world.

A pack of Silverback Mountain gorillas in Uganda were caught for the first time on camera performing a supper serenade. Filmmakers captured the unique ritual by placing a robotic'spy' that resembles a young gorilla deep in the jungle. The team designed the animatronic machine with realistic eye movements, as wild gorillas communicate with each other through eye contact, and a submissive demeanor with the hopes it would be accepted by the pack. Along with the singing, the footage shows the gorillas screamed a'chorus of appreciation' while eating and provided evidence that they are extremely gassy. A pack of Silverback Mountain gorillas in Uganda were caught for the first time on camera performing a supper serenade.

In this paper we propose a new evaluation challenge and direction in the area of High-level Video Understanding. The challenge we are proposing is designed to test automatic video analysis and understanding, and how accurately systems can comprehend a movie in terms of actors, entities, events and their relationship to each other. A pilot High-Level Video Understanding (HLVU) dataset of open source movies were collected for human assessors to build a knowledge graph representing each of them. A set of queries will be derived from the knowledge graph to test systems on retrieving relationships among actors, as well as reasoning and retrieving non-visual concepts. The objective is to benchmark if a computer system can "understand" non-explicit but obvious relationships the same way humans do when they watch the same movies. This is long-standing problem that is being addressed in the text domain and this project moves similar research to the video domain. Work of this nature is foundational to future video analytics and video understanding technologies. This work can be of interest to streaming services and broadcasters hoping to provide more intuitive ways for their customers to interact with and consume video content.