DeepCube’s technologies to build up Additively
Manufactured Electronics (AME) 3D-Printers
DeepCube, the award-winning deep learning pioneer, has signed a
definitive agreement to be acquired by Nano Dimension Ltd.
(Nasdaq: NNDM). After the closing of the transaction,
DeepCube will function as a division of Nano Dimension Ltd.,
creating first-of-its-kind, AI powered-Additively
Manufactured Electronics (AME)/PE
(3D-Printed Electronics) platforms and services.
DeepCube’s training platform and real-time inference engine will
be integrated into Nano Dimension AME 3D-printers, acting as smart
nodes in a Smart Fabrication Network (SFN), as well as being the AI
control center for these networks. With DeepCube’s expertise in
machine learning/deep learning, the vision of Industry 4.0 – where
machines cooperate, learn, optimize and deliver printed electronics
– is now achievable.
DeepCube’s breakthrough algorithms accelerate multi-domain
neural models by orders of magnitude, making it an exceptional fit
for complex and real-time edge problems, particularly 3D
manufacturing. The novel DeepCube approach fuses together both a
cutting-edge training framework and a highly optimized inference
engine to accomplish aggressive performance goals. Smart 3D
manufacturing nodes are equipped with many real-time,
cross-disciplinary sensors, which generate Giga Bytes of
time-sensitive data. DeepCube’s platform transforms this massive
amount of data to insights and actions, in real-time, creating the
self-learning and optimizing machine infrastructure. AI-driven
distributed digital fabrication, pioneered by Nano Dimension and
DeepCube, will improve yield, throughput, quality, design options
and optimization.
“We have reviewed multiple solutions for the complex problem of
electronics manufacturing, and specifically 3D printed electronics,
and DeepCube’s training and inference frameworks stood out, along
with the team’s expansive knowledge of deep learning and neural
networks,” said Yoav Stern, CEO of Nano Dimension. “Nano
Dimension’s vision is to establish ‘INDUSTRY 4.0’ solutions, which
entail building an AI/ML ‘distributed digital fabrication
application’ rather than just building machines as capital
equipment. The core of this solution will be DeepCube’s ‘brain’
that is expected to manage a neural network of edge devices. This
will usher in a new design and production flow, offering customers
cutting edge capabilities to innovate and create a new line of
electronics products that are not achievable today:
miniaturization, nano geometries, 3D structures, mass
customization, on-demand manufacturing and digital inventory.”
Michael Zimmerman, CEO of DeepCube, and now GM of the DeepCube
division of Nano Dimension, commented: “The $240B PCB/PCBA sector
of the electronics industry is going through a massive transition
to meet the challenges of innovative and miniature designs,
compressed time scales (design to production) and the evolution
from physically driven manufacturing to a digital flow. The move
from 2D to 3D, from legacy processes to a fully digitized and
real-time workflow, can only be done with AI as the driver of the
full lifecycle process – deep learning models cooperating across
the network to learn, optimize and automate the full cycle from
design to production. Unlike the human- and labor-intensive
processes of today (for 2D designs), DeepCube will create neural
models, trained with varied edge sensor data, and offer customers
out-of-the-box neural networks for manufacturing, which accomplish
the full AME (Additive Manufacturing for Electronics) scale
of benefits.”
The acquisition follows a strong year for DeepCube, the first
deep learning software accelerator enabling real-world AI
deployments. Following its launch in May of 2020, DeepCube received
numerous peer and industry recognitions before deploying an
in-depth product suite in February 2021.
The team’s expertise and execution-driven culture has delivered
several successful AI-centric projects across different hardware
architectures. Particularly, DeepCube’s hardware agnostic platform
has proven unique in its ability to accelerate different families
of neural models, becoming a key asset for Tier-1 players.
“We are excited to join forces with Nano Dimension and transform
the AME industry to become fully AI-enabled, with efficiencies,
quality and innovation only possible with deep learning models”,
said Dr. Eli David co-founder and CTO of DeepCube, who is joining
Nano Dimension as CTO/AI. “DeepCube’s technology, which accelerates
neural networks by a 10x factor, is a natural fit for
distributed edge nodes, which are self-learning and self-optimizing
– all in real-time and on-demand. The team is incredibly excited
for our next step, and we look forward to joining Nano Dimension in
driving the Industry 4.0 evolution.”
DeepCube was founded by Dr. Eli David and Yaron Eitan, its CTO
and Executive Chairman, respectively. The management team also
includes Michael Zimmerman, CEO, and Eri Rubin, VP, Research and
Development.
Pearl Cohen is acting as legal counsel to DeepCube in connection
with the acquisition.
About DeepCube
DeepCube is an award-winning deep learning pioneer that provides
the industry’s first software-based deep learning acceleration
platform that drastically improves performance on existing
hardware. Modeled after the way the human brain develops during
childhood, DeepCube’s patented technology is the first to be
purpose-built for deployment of deep learning models in data
centers and on intelligent edge devices. Its proprietary framework
can be deployed on top of any existing hardware, resulting in
drastic speed improvement and memory reduction. Led by a team of
experienced deep learning researchers and developers, DeepCube has
patented numerous innovations, including methods for faster and
more accurate training of deep learning models, and drastically
improved inference performance. For more information, please visit
www.deepcube.com/.
About Nano Dimension
Nano Dimension (Nasdaq: NNDM) is a provider of intelligent
machines for the fabrication of Additively Manufactured Electronics
(AME). High fidelity active electronic and electromechanical
subassemblies are integral enablers of autonomous intelligent
drones, cars, satellites, smartphones, and in vivo medical devices.
They necessitate iterative development, IP safety, fast
time-to-market and device performance gains, thereby mandating AME
for in-house, rapid prototyping and production. The DragonFly LDM®
system is being deployed in a wide range of industries, including
academic and research institutions, defense, aerospace, autonomous
automotive, robotics, and biotech. Its ability to enable on-site
prototyping in a matter of hours instead of weeks; create products
with better performance; reduce the size and weight of electronic
parts and devices; enable innovation; and critically important,
protect IP, is a paradigm shift in how industry and research
institutions will research, develop, and produce High-Performance
Electronic Devices (Hi-PEDs™.) Nano Dimension machines serve
cross-industry needs by depositing proprietary consumable
conductive and dielectric materials simultaneously, while
concurrently integrating in-situ capacitors, antennas, coils,
transformers and electromechanical components, to function at
unprecedented performance. Nano Dimension bridges the gap between
PCB and semiconductor integrated circuits. A revolution at the
click of a button: From CAD to a functional high-performance AME
device in hours, solely at the cost of the consumable materials.
For more information, please visit www.nano-di.com.
Forward Looking Statements
This press release contains forward-looking statements within
the meaning of the “safe harbor” provisions of the Private
Securities Litigation Reform Act of 1995 and other Federal
securities laws. Words such as “expects,” “anticipates,” “intends,”
“plans,” “believes,” “seeks,” “estimates” and similar expressions
or variations of such words are intended to identify
forward-looking statements. For example, Nano Dimension is using
forward-looking statements in this press release when it discusses
expected timing of the closing of the transaction with DeepCube,
that DeepCube’s scientists and engineers are expected to join Nano
Dimension upon closing of the transaction, the potential of
AI/ML/DL in Nano Dimension’s industry, development of next
generation devices, DeepCube pursuing opportunities as part of Nano
Dimension’s strategy, and the Company’s vision of INDUSTRY 4.0
solutions. Because such statements deal with future events and are
based on Nano Dimension's current expectations, they are subject to
various risks and uncertainties. Actual results, performance or
achievements of Nano Dimension could differ materially from those
described in or implied by the statements in this press release.
The forward-looking statements contained or implied in this press
release are subject to other risks and uncertainties, including
those discussed under the heading “Risk Factors” in Nano
Dimension’s annual report on Form 20-F filed with the Securities
and Exchange Commission (“SEC”) on March 11, 2021, and in any
subsequent filings with the SEC. Except as otherwise required by
law, Nano Dimension undertakes no obligation to publicly release
any revisions to these forward-looking statements to reflect events
or circumstances after the date hereof or to reflect the occurrence
of unanticipated events. References and links to websites have been
provided as a convenience, and the information contained on such
websites is not incorporated by reference into this press release.
Nano Dimension is not responsible for the contents of third-party
websites.
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DEEPCUBE PUBLIC RELATIONS CONTACT: Hailey Melamut March
Communications deepcube@marchcomms.com +1 617.960.9856 NANO
DIMENSION INVESTOR RELATIONS CONTACT Yael Sandler, CFO |
ir@nano-di.com U.S. Investor Relations: Dave Gentry RedChip
Companies Inc. Dave@redchip.com 407-491-4498 or 1-800-RED-CHIP
(733-2447)
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