Artificial Intelligence

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AI in manufacturing market to reach $16bn by 2025

AI in manufacturing market to reach $16bn by 2025
As per the report by Global Market Insights, ‘Worldwide Artificial Intelligence in Manufacturing Market was valued one billion in 2019 and will surpass a revenue collection of one 16 billion by 2025 with an annual growth rate of 40% over 2019 to 2025’. Artificial Intelligence in Manufacturing Market is driven by the rapid adoption of industry 4.0 technologies. 
21st May 2019

AI solution delivers performance boost for low power at the Edge

AI solution delivers performance boost for low power at the Edge
Lattice Semiconductor has announced major performance and design flow enhancements for its Lattice sensAI solutions stack. The Lattice sensAI stack provides a comprehensive hardware and software solution for implementing low power (1mW-1W), always-on Artificial Intelligence (AI) functionality in smart devices operating at the Edge. IHS forecasts 40 billion devices will be operating at the network Edge by 2025.
21st May 2019

What is AI's role in unleashing intelligent sensing?

What is AI's role in unleashing intelligent sensing?
The rise of Artificial Intelligence (AI) is unlocking a wave of new sensor applications and driving market demand for intelligent sensing - the ability to extract insights from sensor data. To guide innovation and investment in this fast-evolving market, the team at Lux Research, took a deep dive into how and where enhanced AI analytics are rapidly improving the capabilities of software-defined sensors.
20th May 2019


Automatic labelling to accelerate AI use of time-series data

Automatic labelling to accelerate AI use of time-series data
The development of technology to easily create the training data necessary to apply AI to time-series data, such as those from accelerometers and gyroscopic sensors, has been announced by Fujitsu Laboratories and Kumamoto University. Time-series data obtained from sensors does not include anything other than every-changing numerical data.
16th May 2019

The AI industry is suffering from a diversity crisis

The AI industry is suffering from a diversity crisis
When we consider the current challenges facing artificial intelligence (AI) today, one of the more immediate threats to the future of the industry is diversity, or a lack thereof. According to the 2018 Global Gender Gap Report, only 22% of AI professionals globally are female, compared to 78% who are male. Meanwhile, large companies that are at the forefront of developing AI technologies are themselves struggling to improve diversity; AI Now Institute recently found that women comprise only 15% of AI research staff at Facebook, and 10% at Google. Nikolas Kairinos, CEO and Founder at Fountech explains more.
15th May 2019

Artificial intelligence breakthroughs lead to M&A growth

Artificial intelligence breakthroughs lead to M&A growth
The latest analysis of the Artificial Intelligence M&A market by Hampleton Partners, has revealed that over 150 deals were disclosed in 2018, up from 105 deals in 2017. The first half of 2019 is also showing impressive AI-related M&A momentum, with 65 deals already recorded and a total of near 100 deals forecast for the half-year only. 
15th May 2019

Mastering the challenge of trustworthy AI

Mastering the challenge of trustworthy AI
From treating chronic diseases and reducing fatality rates in traffic accidents, to fighting climate change and anticipating cyber security threats, Artificial Intelligence (AI) is no longer considered a futuristic construct - it is already a reality and is helping humanity solve pressing global challenges.
10th May 2019

How humanised machine learning is augmenting human intelligence

How humanised machine learning is augmenting human intelligence
IDC estimates worldwide data volume is set to rise by 61% between 2018 and 2025 – eventually reaching 175 zettabytes – with much of this generated by businesses. So how can this be harnessed to optimise business processes, improve day-to-day operations and inform decision-making? The answer lies with humanised machine learning platforms, says Mind Foundry Director of Research Nathan Korda, which are making advanced machine learning capabilities accessible to business problem owners, enabling the rise of the ‘citizen data scientist’.
1st May 2019

AI engine used to design new alloy for 3D printing project

AI engine used to design new alloy for 3D printing project
Designing new materials for 3D printing projects is now much simpler, quicker and cost effective thanks to the Alchemite machine learning algorithm, developed by Intellegens, the Cambridge-based AI company. In a research collaboration between several commercial partners and the Stone Group at the University of Cambridge, the Alchemite deep learning algorithm was used to design a new nickel-based alloy for direct laser deposition.
30th April 2019

Can AI predict the Premier League’s top scorer?

Can AI predict the Premier League’s top scorer?
How often have we looked at a game and wondered ‘how did he miss that?’. Well, with expected goals (xG) we can now really see if our frustration is justified, and perhaps use that to predict future results. By Haidar Altaie, Data Scientist at SAS
18th April 2019


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Sensor+Test 2019
25th June 2019
Germany Nürnberg Messe
DSEI 2019
10th September 2019
United Kingdom EXCEL, London
European Microwave Week 2019
29th September 2019
France Porte De Versailles Paris
Engineering Design Show 2019
16th October 2019
United Kingdom Ricoh Arena, Coventry
ELIV 2019
16th October 2019
Germany Bonn World Conference Center