Safran to use Odysight.ai Predictive Maintenance

Above: Boeing AH-64 Apache attack helicopter prototype of the Israel Air Force (IAF). Credit: Odysight.ai

Odysight.ai announced an inaugural purchase order from France-based Safran Aircraft Engines for its AI-based Predictive Maintenance (PdM) and Condition Based Monitoring (CBM) solutions. As part of the order, Odysight.ai will also supply its cutting-edge micro cameras to support Safran’s experimentation, planning and development of jet engines for the aviation industry. “This order signifies our entry into the realm of experimental design and development of aviation engines,” said Odysight.ai’s CEO, Yehu Ofer.

Odysight.ai is in a process of strenthening its position in the defense and aviation industries.  In February 2024, it announced a strategic collaboration with the Israeli Ministry of Defense (IMOD) to deploy its PdM system in the Boeing AH-64 Apache attack helicopter prototype of the Israel Air Force (IAF). There are approximately 2,700 Boeing AH-64 Apache attack helicopters deployed worldwide.

In March 2024, Odysight.ai announced the receipt of a purchase order exceeding $1 million from a major international defense contractor for the Company’s visual sensing and AI analytics solution, to be installed in upgraded Lockheed Martin (Sikorsky) SH-60 Seahawk Maritime Rotary Wing Aircraft of the Israel Air Force. More than 4,000 UH-60 Black Hawk aircraft, and its variants such as the SH- 60 Seahawk, are currently in service worldwide. The addressable market for the Company’s rotary wing aircraft system is more than a $1bn.

Hailo-8L AI was selected for Raspberry Pi 5

Tel aviv based Hailo announced that its AI processor, Hailo-8L AI accelerator, has been selected by Raspberry Pi to provide AI accelerators for the Raspberry Pi AI Kit – an AI-enabled add-on for Raspberry Pi 5. The partnership bring Hailo to a new market consistins of milions of professional and enthusiast creators and Edge solutions developers. “Our partnership with the world’s leading single-board computer provider will inspire a new era of computing, enhanced by high-performance AI processing capacity,” said Hailo CEO and Co-Founder Orr Danon.

Eben Upton, Raspberry Pi CEO, said. “Hailo’s combination of high compute power and low power consumption make it an incredibly attractive AI solution for professionals and enthusiasts alike.“The Hailo-8L AI accelerator is designed to support entry level products requiring limited AI capacity or lower performance. It provides computing power of 13 Tera-Operations Per Second (TOPS) with a typical power consumption of only 1.5W. The accelarator support X86 and ARM architectures, Linux and Windows OSs and does not require external memory. Hailo’s AI processors are already deployed by over 300 customers worldwide.

The collaboration with Raspberry Pi marks a significant milestone for Hailo. To support the growing community of developers, Hailo is introducing an online developer community featuring tutorials, FAQs, and other resources to foster innovation among creators and developers. Registered members will have the opportunity to engage with a team of Hailo experts and connect with each other to share code, experiences, resources, knowledge, and more. “Our new online community will serve as a collaborative environment,” Danon concluded.

Knowles completed the acquisition of Cornell Dubilier

Knowles Corporation announced it has successfully completed the acquisition of Cornell Dubilier. The $263 million all-cash transaction was announced on September 2023. Cornell Dubilier, based in Liberty, South Carolina, is a technology leader and manufacturer of high-quality film, electrolytic and mica capacitors used in demanding medtech, military, aerospace, and industrial electrification applications. The acquisition is a part of a new Knowles’ strategic plan to accelerate its transformation to an industrial technology company focused on higher growth and value opportunities.

The Company also announced that it is reviewing strategic alternatives for its Consumer MEMS Microphones (CMM) business. CMM designs and manufactures micro-electro-mechanical systems microphones that enable voice control communication and superior audio recording for customers across the ear, compute, internet of things and smartphone market segments. Knowles provides micro-acoustic microphones, audio solutions, and high performance capacitors and RF products for the consumer electronics, medtech, defense, electric vehicle, industrial, and communications markets.

“Knowles shares our culture of innovation,” said Cornell Dubilier Chief Executive Officer Jim Kaplan. “Like Knowles, some of the world’s most respected companies rely on our technologies. Together, we will offer cutting-edge products and solutions to our customers.” Knowles sales in 2023 totalled $707 million. Revenues of Q4 2023 were up 9% and reached $215 million. Jeffrey Niew, president and CEO of Knowles: “As we look to the first quarter of 2024, we expect to see strong year over year organic growth despite excess channel inventory in some of our end markets. The Cornell Dubilier acquisition is anticipated to further add to growth and profitability. In total, revenue is expected to be up 35% from first quarter 2023 levels.”

Elina's booth during a Technology Exhibition in Tel aviv
Elina’s booth during a Technology Exhibition in Tel aviv

             

 

Knowles is represented and supported in Israel by Elina Electronic Engineering Group.

For more information, contact: mulu@elina.co.il,  +972-54-2509599

What is AI missing to completely replace us?

By Michael Zolotov, AI expert, Co-Founder and CTO of Razor Labs 

A year and a half after ChatGPT burst into our lives, artificial intelligence is now high in the awareness of everyone. Hundreds of millions of people have used an AI application at least once, and the topic is at the core of the activities of companies, giant corporations, and nations. Where is it expected to advance in the coming years? What new heights, as far as we can predict, is it set to conquer? And whether (and where) does it pose a threat to us, as those who are supposed to make a living on this planet?

Tool Limitations

First, it is important to recognize that although it may seem like artificial intelligence has seen and knows everything, this is not exactly the case. The latest versions of ChatGPT and similar models are familiar with about 70% of all written content available on the internet, challenging the ability to continue training and improving them. However, they rely only on public information—what has been published and exposed to the public. This means their database lacks enormous amounts of non-public information, such as private organizational knowledge of companies. As a result, their impact within organizations is currently limited.

ChatGPT and its counterparts have led a true revolution, making vast amounts of information easily accessible. However, it is important to remember that they are still inferior to human intelligence. Unlike ChatGPT, which primarily processes text, humans see and hear their environment, giving us a deeper understanding of the world. For example, ChatGPT can easily summarize complex scientific documents but lacks basic knowledge that we consider elementary. For instance, a person can learn to drive after 30-40 hours of learning, whereas Tesla requires millions of kilometers, and its driving is still not perfect. The structure of ChatGPT and similar models does not allow them to “think deeply” or plan the answer in advance, inherently limiting the complexity of tasks they can perform.

In my estimation, it will take at least a decade to overcome these limitations and enable tools to achieve capabilities that begin to approach human intelligence. In light of this, I predict that in the near future, we will see some awakening and a better understanding of the tools’ limitations.

The Future of AI: All-Powerful Model, Specialized Niche Expertise, and Organizational Autopilot

We expect AI to use a huge variety of sensors and capabilities.This raises a significant question: Are we heading towards a supermodel that knows “how to do everything”—doctor, lawyer, accountant, mathematician, etc.? Or are we looking at a dedicated AI model tailored for a specific task? The second approach argues that if I need a dermatologist, it’s less critical for them to also have knowledge in autonomous driving or in identifying and intercepting UAVs making their way from Iran to Israel. Especially since “knowing everything” requires an enormous amount of energy—not something that fits into a small chip on a missile (and let’s remember, that missile is not exactly connected to the internet).

It seems that both approaches, the general model and the specialized AI, will coexist depending on the application. There will be applications of general “autopilot,” like ChatGPT, which is supposed to know everything about everything and, over time, will get to know us better and better. It will not only be familiar with our writing style but also with who we are and what our dreams are.  It will be able to help us write the next email in our precise and unique style, teach us a new field, and even advise us at crucial junctures in our lives, ensuring we don’t repeat past mistakes. On the other hand, there will be models with a specific purpose that specialize only in that. Guiding an interceptor missile is a great example, but also assisting doctors in diagnosing a particular disease. In the niche of specialized expertise, each such model will be more successful than the general model that knows “everything about everything.”

Another future direction, which has already begun to materialize in some places, is the “organizational autopilot.” This AI function performs actions based on organizational data and has access to all the organization’s information—from CRM and service call contents to the code itself. Such a tool can significantly enhance the organization’s operations across all levels—optimizing sales, automating customer service, training personnel, development, and more.

Will AI Replace Us?

The short answer is “no,” at least not with current technology. But it’s a bit more complex than that. A more accurate way to examine the issue is not necessarily in replacing us in jobs but in specific tasks. Broadly speaking, there are tasks that take 3 seconds or 3 minutes (such as writing an email), and those that require 3 hours or 3 days (such as strategic planning, thinking about innovative work plans, etc.). Currently, AI can assist with the former type of tasks but not with more strategic ones. This means it can help with almost any job but specifically with low-level, repetitive tasks that require shallower thought. High-level tasks that require creativity and planning will remain with humans.

Therefore, AI allows us to work at a higher level of abstraction. It gives us the opportunity to invest our time and energy more in planning and strategy and less in the precise formulation of the next email. The more a job includes a significant component of the “strategic category,” the less reason its holder has to fear AI.

Additionally, for jobs that involve significant interpersonal physical interaction, like sales or doctors who need to give personal attention to patients, AI will assist the person but not replace them.

If You Can’t Beat Them …

The latest developments in artificial intelligence are a real revolution. They have the potential to improve our productivity and increase the GDP of nations on a global scale. My recommendation is to leverage these innovative tools—while being aware of their limitations—to focus on the complex, creative, and strategic aspects of your role. Artificial intelligence can make us smarter, like superhumans surrounded by omniscient experts. By effectively integrating these tools, we can reduce the risk of being replaced by AI. And as the saying goes: “If you can’t beat them, join them.”

Michael Zolotov, 33, is an AI expert with a master’s degree in electrical engineering. He is a Co-Founder and CTO of a group of leading AI companies, including the publicly traded Razor Labs, which develops artificial intelligence technologies for asset-intensive industries; Axon Vision, which develops AI solutions for the defense market; and more. Michael also co-founded the Future Learning school, the first Deep Learning training academy for AI engineers in Israel.  

EVR Opens Electric Motor Coils Production Plant in India

Photo above (from left to right): Eli Rozinsky, EVR Motors President and COO, Sajal Kishore, Managing Director of EVR India and Naor Gilor, Ambassador of Israel to India

The Israel-based EVR Motors is starting the operations of a greenfield plant in Manesar, India under its subsidiary EVR India. This facility will spearhead the production of trapezoidal geometry coils, a patented key component of EVR’s electric motor topology, to serve EVR’s manufacturing partners in India. The highly automated plant is designed to provide coils for approximately 20,000 motors per month, with plans for rapid expansion to around 100,000 motors per month.

EVR Motors has already signed commercial agreements with important players in the Indian automotive industry, including Napino, Belrise Group, EKA Mobility, and RSB Transmissions. Under these agreements, the manufacturing of EVR’s motors will commence in 2024, enabling supply of motors across vehicle segments including two/three-wheelers, passenger cars, light commercial vehicles, e-buses and boats.

EVR Motors has developed a groundbreaking motor topology known as the Trapezoidal Stator Radial Flux Permanent Magnet (RFPM) motor, which has received 11 patents in the past years. RFPM enables the production of small, lightweight, and cost-effective motors. EVR’s current product line consists of four families, ranging from 6kW to 150kW and supporting voltages from 48V to  800V. The latest motor series is a compact 36 kg unit that can generate over 150 kW of power.

EVR Motors was co-founded by Eli Rozinsky, the current company President and COO, along with Victor Kislev and Ruslan Shabinski. The company boasts a dedicated team of 45 professionals, including 5 PhDs, engineers, a motor assembly team, and a testing and control group, based in Petah Tikva and India. Nick Rogers, Chairman of EVR Motors, said: “EVR India represents a cornerstone of our business model. This vertical integration strategy underpins our company’s growth plans, not only for India but also for our global operations.”

0201HT (0603) Low Profile Chip Inductor

Coilcraft announced one of the tiniest inductors available: The new tiny The 0201HT is the industry’s lowest profile 0201-sized (metric 0603) chip inductor with a maximum height of just 0.28 mm. It has significantly higher Q and lower DCR than similarly sized thin-film types and is optimized for high-frequency impedance matching in applications such as cell phones, wearable devices, WiFi, Bluetooth, GPS and LTE/5G IoT networks.
The 0201 sized inductor provides a low-profile with 0.28 mm maximum height, excellent Q compared to non-wirewound alternatives at this height and Very high SRF – as high as 36 GHz. It Core Material is Ceramic. Weight is 0.14 – 0.24 mg.

             

 

Coilcraft is represented and supported in Israel by Elina Electronic Engineering Group.

For more information contact Eng. Avi Elia, tel: +972-54-7532262

 

Nemo Nanomaterials Unveils 50-Ton Production Line

[Pictured above: Nemo Nanomaterials – technology illustration. Credit – Dima Yaroshezki, D.V.A. PRODUCTIONS]

Nemo Nanomaterials, an Israeli technology company providing nanomaterial-based industrial additives, has unveiled a production line with the capacity to produce 50 tons per year of its NemoBLEND™ nanomaterial-based additives. Additionally, in response to demand from Europe, the company plans to establish a new production line in the first quarter of 2025 that will have the capacity to yield hundreds of tons annually.

Nemo’s NemoBLEND™ additives, which are based on single-walled carbon nanotubes (SWCNT) hybrid, serve two main purposes: providing electrical conductivity to eliminate the need for metal conductors and providing electromagnetic interference (EMI) shielding to protect sensitive electronic devices from disruption. These additives can be mass-produced and incorporated into a wide range of plastic parts, making them an ideal component for enhancing the performance and sustainability of materials used in planes, trains, automobiles, and other applications.

The NemoBLEND additives are ready to be used in common plastic manufacturing processes, opening new possibilities for design, advanced functionalities, weight reduction, and enhanced sustainability.

In response to the growing demand from the US and Europe, Nemo envisions establishing a factory in Israel within a year of the planned line’s operation, with subsequent ventures planned in regions with significant demand.  The planned line will cater primarily to material manufacturers serving the transportation and energy sectors. Leveraging a distinctive manufacturing process underpinned by proprietary compositions and formulations, the company has filed two patent applications and several additional patents applications are being prepared for filing. Nemo’s unique production technology, comprising proprietary special processes and custom-designed equipment, sets the stage for a versatile additive poised for widespread adoption.

The demand in Europe has been driven through Nemo’s strategic collaboration with Kafrit Group, a global masterbatch and compounds producer. The two companies signed an agreement which combines investment by Kafrit in Nemo and collaboration of the companies in the field of nanomaterial-based concentrates. As part of the collaboration, the two companies joined forces in marketing Nemo’s products, including masterbatches for electrical conductivity and EMI shielding in plastics.

“Nemo Nanomaterials emphasizes a range of standardized products tailored to diverse needs across segments and applications,” stated Alexander Zinigrad, CEO of Nemo Nanomaterials. “The new production line, that will be located in Petah Tikva, Israel, is set to specialize in thermoplastic materials, catering to varied plastic requirements.”

Nemo Nanomaterials, which was established in 2018 by Alexander Zinigrad and Jonathan Antebi, offers a line of innovative additives with a unique set of properties, such as electrical conductivity and Electromagnetic Interference (EMI) shielding in plastics.