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Intel Labs Day 2020 focuses on computing technologies for the future

Intel also showed advances it had made in neuromorphic ecosystem and integrated photonics for data centres. 

Key Announcements from Intel Day Labs 2020
Key Announcements from Intel Day Labs 2020 (Pixabay)

Intel at its ‘Intel Labs Day 2020’ virtual conference showcased its initiatives across domains. Aimed at shaping the next decade of computing, the event focused on a variety of areas, mostly futuristic. Intel’s event focused on photonics, neuromorphic computing, quantum computing, confidential computing, and machine programming, among others. In case you missed the conference, here’s a brief round-up of the key announcements.

Integrated Photonics

Intel showcased efforts it has made towards integrating photonics with affordable and high-volume silicon. The achievement could further help pave the way for improved optical interconnects. It could also help address the growing challenges around the performance scaling of electric input/output, the company said.

ALSO READ: Chinese scientists claim breakthrough in quantum computing race


The company has showcased a new machine programming research system which is capable of autonomously detecting errors in codes. Called ControlFlag, the technology is said to come in handy for software developers in tasks such as debugging. The company revealed ControlFlag trained and learned novel defects on more than 1 billion unlabelled lines of production-quality code.

Cryogenic Control chip

Intel introduced Horse Ridge II, a second-generation cryogenic control processor. The company claims the chip could help overcome one of the biggest problems quantum computers face at the moment – scalability.

ALSO READ: Amazon is laying the groundwork for its own quantum computer

“Building on innovations in the first-generation Horse Ridge controller introduced in 2019, Horse Ridge II supports enhanced capabilities and higher levels of integration for elegant control of the quantum system. New features include the ability to manipulate and read qubit states and control the potential of several gates required to entangle multiple qubits,” the company said in a release.

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