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London AI Hub Aims to Build Faster and More Reliable Networks

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London Hub Grows Northeastern Global AI Research Presence

Northeastern University has opened a London hub to help spread research on artificial intelligence and wireless technology across Europe. The institute builds on Boston’s successes by working with governments, businesses, and universities on both sides of the Atlantic. This growth makes it easier for people to work together and speeds up applied research in networked intelligent systems.

The London hub is the first permanent research center for the institute outside of the United States. It adds to what is already going on in Boston and Massachusetts and gives direct access to European innovation ecosystems. This geographic reach makes it easier for companies, regulators, and funding bodies to work together in the region.

Source: Northeastern Global News – Northeastern University

Focus On Faster More Reliable Intelligent Networked Systems

Researchers want to make wireless communications better by making networks faster, use less energy, and be more reliable. The job combines machine learning, artificial intelligence, and advanced telecommunications design principles. These efforts are aimed at real-world systems that deal with huge amounts of data with little delay and few errors.

As AI systems become more important for critical infrastructure and everyday tasks, the institute stresses the need for reliability. Projects look into how smart networks act when they are under stress, make mistakes, or are attacked. To build trust and make sure long-term growth, performance must be predictable.

Leadership Highlights The Link Between Connectivity And Intelligence

Director Tommaso Melodia said that the hub is a link between the fields of research on connectivity and intelligence. The method combines communications engineering with data-driven intelligence to make new system features available. This convergence makes networks smarter by letting them change on their own when conditions change.

Melodia stressed that London brings new research topics, expertise, and a spirit of working together. The hub makes it easy to quickly add European points of view to ongoing global projects. This diversity improves the quality of new ideas and speeds up the process of putting them into action.

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New Professors Teach Machine Learning And New Computing

Professors Bipin Rajendran and Osvaldo Simeone, who have different areas of expertise, run the London office. Rajendran’s main area of research is hardware, software, and system co-design for smart computing. Simeone gives theoretical support to information theory, machine learning, and network reliability.

Together, they lead a growing group of researchers who work at Northeastern’s London campus. Their partnership makes interdisciplinary research stronger by connecting abstract models with real-world use. This partnership makes sure that concepts created on paper can work well in real systems.

Research Aims For Trustworthy AI And Detection Of Misconduct

One important area of research looks at how AI systems can act badly in the real world. The group comes up with ways to tell when big language models are not following the right reasoning paths. These probes make widely used AI applications safer, more transparent, and more accountable.

Another area of interest is the reliability of telecommunications, where AI is taking over more and more decisions about networks. Long-term studies on trustworthy AI behavior are being funded by groups in Europe and the United States. These insights help keep systems that support economies, governments, and everyday users from failing.

Next Generation AI Hardware And Computer Architectures

The hub looks into quantum and neuromorphic computing to get around the limits of silicon hardware. These architectures work like brains, which means they can process data faster and use less energy. Collaborations with major tech companies help with the creation and testing of experimental hardware.

Researchers are also looking into ways to speed up the training of large language models to cut costs by a lot. This work could make it easier for new ideas to come up and make AI development more sustainable. These kinds of breakthroughs are very important because model sizes and computational needs keep growing.

Europe Collaboration Shows Long Term Commitment To Research

Northeastern’s long-term commitment to working with European researchers is shown by the launch in London. Funding successful partnerships and conferences makes the hub a well-known center for innovation. This presence encourages businesses, schools, and governments to work together to solve problems.

The institute wants to shape future networked systems by combining global scale with local integration. The hub speeds up the sharing of information while also meeting society’s need for smart infrastructure that can be counted on. This plan makes London an important hub for AI research networks around the world.

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