3 offres internship trouvées

About Foodles Foodles was founded in France in 2014 and launched in the UK in 2023. The UK team is building and refining a model that fits the local market, working closely with restaurants and clients to make workplace food simple, reliable, and well organised. Foodles is also a certified B Corp, reflecting a commitment to responsible business practices and long term thinking. As the UK product continues to develop, some parts of the operation are still hands on while systems and automation are being built. This role sits close to that work and plays a real part in shaping how things scale. The Role This role is ideal for someone early in their career who wants to understand how a product and operation are actually built, not just observe from the sidelines. You will support the UK team with essential operational work such as building and maintaining restaurant menus in our internal system, whilst gaining exposure to how workflows are designed, improved and eventually...

About InterDigital InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence (AI), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming. As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today's most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects...

Summary In this internship at the London AI Video Lab, the objective is to study fixed-point arithmetic solutions for ensuring bit-exact video compression in AI-based video codecs. Current AI-based video compression models outperform conventional codecs, like HEVC, VVC and AV1. However, AI-based video compression models are trained using floating-point arithmetic. Unfortunately, floating point arithmetic is insufficient to ensure bit-exact execution. Bit-exact execution is needed to ensure encoded bitstreams are universally decodable across any device. Fixed-point arithmetic is a potential solution to this problem. The goal of the internship is to determine a fixed-point arithmetic setup capable of ensuring bit-exactness while maintaining model performance. This work will be seen as one step forward toward the deployment of end-to-end trained AI-based video compression models. The goal will be to study various fixed-point arithmetic setups for layers and components of AI-based...