GRIT Ed. 11 | 5G, Web3, NFTs... - Magazine - Page 15
Artificial Neural Networks
echnology continues to reshape the telecommunications landscape, concerns about security and privacy are
ng increasingly important. Haseeb Awan, Founder and CEO of Efani Inc., and a Next Founders 2015 alumni, shares
hts on the impact of 5G technology on the industry and how his company is working to protect user privacy.
Scient Analytics, a cutting-edge data
analytics platform for the mining industry,
is revolutionizing the way geological data
is analyzed by harnessing the power of
Artificial Neural Networks (ANNs.)
MASOUD AALI
ON ARTIFICIAL NEURAL NETWORKS IN THE
MINING INDUSTRY, STRUCTURAL BIAS &
ENVIRONMENTAL SUSTAINABILITY
CEO & Co-Founder
Scient Analytics
Next Founders
2015
Co-founder and CEO, Masoud Aali, an exploration geophysicist with over 12
years of experience, has made it his mission to empower geologists and mining
companies to make informed decisions and reduce their environmental
footprint.
Harnessing Artificial Neural Networks in Data Analytics
When asked about how Scient Analytics uses ANNs, Aali explains: “We use Artificial
Neural Networks to analyze the massive amounts of data we collect from our
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hyperspectral and RGB core imaging technologies. ANNs are basically algorithms
that mimic the way the human brain processes information. We feed the ANN with
training data, and it uses that data to learn patterns and relationships between different variables about rocks or sediments.”
This innovative approach allows Scient Analytics to extract valuable insights from geological data, empowering geologists and
mining companies to make better decisions and minimize their environmental impact.
Uncovering the Benefits of Deep Neural
Networks in the Mining Industry
Envisioning the Future of Data Analytics in
the Mining Industry
Aali highlights the advantages of deep neural networks in
the mining industry, stating: “Using deep neural networks in
the mining industry is like having a team of expert geologists
analyzing every inch of your drill core samples, but without
the need for coffee breaks.” With the ability to process vast
amounts of data, these networks can identify subtle patterns
and relationships that humans may miss, allowing for more
accurate and comprehensive mineral characterization. This
can optimize drilling and exploration activities, reduce costs,
and minimize environmental impact.
Discussing the role of data analytics in the mining industry, Aali
says: “In the coming years, we expect to see even more mining
exploration companies embrace data analytics as a key driver
of success. And we’re positioned to stay ahead of the curve by
continuing to invest in our cutting-edge technology, hiring the
best and brightest minds, and partnering with industry leaders
to create innovative solutions.” Scient Analytics has been a part
of numerous projects, elevating exploration standards and
empowering mining companies to optimize their operations,
reduce costs, and minimize their environmental impact.
Combatting Structural Bias in Artificial
Neural Networks
What You Should Really Know About
Artificial Neural Networks
Acknowledging the potential for structural bias in ANNs, Aali
shares some strategies Scient Analytics employs to address
this issue: “We strive to increase the diversity of training data
to represent a wide range of geological settings and mineral
deposits. By incorporating data from various sources and
locations, the neural network can learn to identify patterns
and relationships that are not limited to a specific region or
type of deposit, thus reducing the risk of bias.”
Aali defines artificial neural networks as “a way for machines
to learn from data and recognize patterns, much like the way
our own brains work.” He emphasizes that while they can be
prone to biases and errors, with the right oversight, they can
be incredibly accurate and reliable.
Regular audits of the neural network are also conducted to
identify and correct any biases that may have crept in over
time, ensuring that the AI’s performance remains accurate and
reliable.
With their innovative approach, commitment to addressing
structural bias, and focus on empowering the mining industry,
Scient Analytics is poised to make a lasting impact and
redefine the way geological data is analyzed using artificial
neural networks. As the demand for data-driven decisionmaking continues to grow, Scient Analytics is well-positioned
to lead the charge towards a more sustainable and efficient
mining industry.
SPRING 2023
15