Artificial Intelligence

In today's world, the constant influx of data from various sources makes it nearly impossible for data to be completely error-free. Just about anyone can generate and share data, the danger of putting out 'bad' data is on the increase, making it essential to check, and double-check work data, especially when its origin is questionable.

Imec and GLOBALFOUNDRIES (GF) have announced a hardware demonstration of a new artificial intelligence chip. Based on imec’s Analog in Memory Computing (AiMC) architecture utilizing GF’s 22FDX solution, the new chip is optimized to perform deep neural network calculations on in-memory computing hardware in the analog domain.

Scientists in Japan have developed a machine learning approach that can predict the elements and manufacturing processes needed to obtain an aluminium alloy with specific, desired mechanical properties. The approach, published in the journal Science and Technology of Advanced Materials, could facilitate the discovery of new materials.

Deep learning has revolutionised image recognition and analysis, making unprecedented performance leaps between 2010-2014. These rapid advancements enabled the development of automated, accurate, accessible, and cost effective medical diagnostics.

Procurement fraud is, to put it simply, huge. An estimate by PwC a few years ago suggested that it was one of the most common economic crimes around the world. That estimate has not changed. What’s more, few companies have taken steps to address the problem. Guest blog written By Laurent Colombant, Continuous Controls and Fraud Manager at SAS

automatica and the Munich School of Robotics and Machine Intelligence (MSRM) of the Technical University of Munich (TUM) are jointly creating a new and globally unique AI platform: munich_i will provide answers to economically and socially pressing questions such as: How can AI make work safer and more productive? How can AI be used today for challenges in health or mobility?

In the future, all materials scientists and chemists will have access to Machine Learning (ML) tools to enhance their R&D. Seamlessly integrating these underlying operations will not happen quickly, but overlooking the developments in materials informatics will lead to a loss of any competitive advantage.

With the dawn of the Artificial Intelligence (AI) era upon the world, the usual playbook of continuous shrinking and packing more and more transistors into chipsets will become unsustainable. New AI chip architecture, materials and manufacturing processes will be needed, in order to meet the requirements and realise the potential of the AI-enabled world.

The British Army has invested in SAS Viya to enable better and faster decision making as part of its digital transformation programme known as Project THEIA, as it looks to improve operational efficiency, use Artificial Intelligence (AI) to automate certain tasks and analyse complex data to unlock new insights.

CAR.O.L the scientifically proven AI HIIT bike that gives you a strong workout in only 40 seconds has been chosen to be part of Smartech’s immersive Bike Shop installation in Selfridges iconic Corner Shop. With windows on to one of the busiest streets of London, the Smart Tech’s Bike Shop in Selfridges Corner Shop will transform into an experiential tech haven that has the look and feel of a vintage bike shop.