May 19, 2020

AI: US Department of Energy seeks to invest

AI
investment
ML
US Department of Energy
Knackles
2 min
AI: US Department of Energy seeks to invest

In a press release, the US Department of Energy (DoE) announced that it would be providing $30mn in grants for AI and machine learning (ML) research.

Focusing on the utilisation of these two technologies for both scientific and complex managerial purposes, the DoE’s interest stems from the advanced opportunities presented by both for modelling and simulation.

Additionally, the Department is also interested in the heightened decision-making abilities that AI could grant to vital infrastructural services, such as cybersecurity and power-grid resilience: functions which require real-time reactions and post-incident analysis. 

Recognising the future of energy

Although AI and ML are already being used by several industries for automation and analytical purposes, the energy sector arguably has more to gain through careful integration with existing infrastructure: optimised energy, enhanced safety and lower costs.

“Both AI and ML are among the most powerful tools we have today for both advancing scientific knowledge and managing our increasingly complex technological environment,” said Paul Dabbar, Under Secretary for Science.

SEE ALSO:

“This foundational research will help keep the United States in the forefront as applications for ML and AI rapidly expand, and as we utilize this evolving technology to solve the world’s toughest challenges such as COVID-19.”

As such, the DoE is accepting applications from national labs, universities, non-profit organisations and private enterprises currently researching in these fields. The $30mn will be split amongst successful applicants, who will need to present to a panel of peers.

An ongoing investment

This latest announcement seems to be a continuation of the DoE’s pledge last year to lobby Congress for $3bn to $4bn in funding to accelerate the development of the nation’s supercomputers. 

Far from being a trivial or frivolous request, the needed investment is practically essential to ensuring that the department can adequately function; the advancement of technology has meant voluminous quantities of data are gathered every day. 

“We generate almost unimaginable amounts of data, petabytes per day,” said Chris Fall, Director of the DoE’s Office of Science. In his opinion, having access to AI-powered analytics would fundamentally alter the way in which the department runs. 

In the same article by publication Science, Jeff Nichols, associate lab director at Oak Ridge National Laboratory, Tennessee, added, “AI won’t replace scientists, but scientists who use AI will replace scientists who don’t.”

For more information on business topics in the United States, please take a look at the latest edition of Business Chief North America

Share article

Jun 18, 2021

Intelliwave SiteSense boosts APTIM material tracking

APTIM
Intelliwave
3 min
Intelliwave Technologies outlines how it provides data and visibility benefits for APTIM

“We’ve been engaged with the APTIM team since early 2019 providing SiteSense, our mobile construction SaaS solution, for their maintenance and construction projects, allowing them to track materials and equipment, and manage inventory.

We have been working with the APTIM team to standardize material tracking processes and procedures, ultimately with the goal of reducing the amount of time  spent looking for materials. Industry studies show that better management of materials can lead to a 16% increase in craft labour productivity.

Everyone knows construction is one of the oldest industries but it’s one of the least tech driven comparatively. About 95% of Engineering and Construction data captured goes unused, 13% of working hours are spent looking for data and around 30% of companies have applications that don’t integrate. 

With APTIM, we’re looking at early risk detection, through predictive analysis and forecasting of material constraints, integrating with the ecosystem of software platforms and reporting on real-time data with a ‘field-first’ focus – through initiatives like the Digital Foreman. The APTIM team has seen great wins in the field, utilising bar-code technology, to check in thousands of material items quickly compared to manual methods.

There are three key areas when it comes to successful Materials Management in the software sector – culture, technology, and vendor engagement.

Given the state of world affairs, access to data needs to be off site via the cloud to support remote working conditions, providing a ‘single source of truth’ accessed by many parties; the tech sector is always growing, so companies need faster and more reliable access to this cloud data; digital supply chain initiatives engage vendors a lot earlier in the process to drive collaboration and to engage with their clients, which gives more assurance as there is more emphasis on automating data capture. 

It’s been a challenging period with the pandemic, particularly for the supply chain. Look what happened in the Suez Canal – things can suddenly impact material costs and availability, and you really have to be more efficient to survive and succeed. Virtual system access can solve some issues and you need to look at data access in a wider net.

Solving problems comes down to better visibility, and proactively solving issues with vendors and enabling construction teams to execute their work. The biggest cause of delays is not being able to provide teams with what they need.

On average 2% of materials are lost or re-ordered, which only factors in the material cost, what is not captured is the duplicated effort of procurement, vendor and shipping costs, all of which have an environmental impact.

As things start to stabilise, APTIM continues to utilize SiteSense to boost efficiencies and solve productivity issues proactively. Integrating with 3D/4D modelling is just the precipice of what we can do. Access to data can help you firm up bids to win work, to make better cost estimates, and AI and ML are the next phase, providing an eco-system of tools.

A key focus for Intelliwave and APTIM is to increase the availability of data, whether it’s creating a data warehouse for visualisations or increasing integrations to provide additional value. We want to move to a more of an enterprise usage phase – up to now it’s been project based – so more people can access data in real time.

 

Share article