AI
Pushing the limits of AI Emilio Billi, Founder & CTO, A3Cube


Pushing the limits of AI
Artificial Intelligence is ubiquitous. Be it education, cybersecurity, healthcare or any industry, there’s always room for AI to optimize the business. However, some technical voids are yet to be filled. According to Emilio Billi, Founder, and Chief Technical Officer of A3Cube technology Innovators despite the challenges that come with the evolution of AI, the benefits are worth it. For example, AI has transformed the manufacturing process, optimized the costs and, has helped the sector not compromise between quality and efficiency. That’s a significant transformation. Billi pushes the limits of AI by redefining Data Analytics and changing the operations of several industries through A3Cube. However, the question remains, can an AI exhibit more intelligence than a human? Will they replace humans in the long run? Let’s find out!
Replacing automation with AI
“AI allows us to augment the intelligence of humans”, says Billi. This means that AI helps us gain a deeper understanding of any technical problem that is set before us. Take the fashion industry, for example, AI leverages the buying patterns for predicting upcoming fashion trends. Data analysis is inevitable to make business decisions today. Because mistakes are becoming expensive and trial and error don’t make sense anymore. Emilio Billi strongly believes that using AI instead of industrial automation in factories can make processes more efficient and reduce energy consumption. Also automating the mundane tasks can give more time for employees to focus on creative tasks. Automation also helps in human errors which usually affects productivity.
A3Cube’s Cutting Edge Technology
According to Billi, A3Cube aims to provide clients the capability to generate the largest value from their data in the quickest time. This ideology has enabled A3Cube to emerge as a leader among the AI, ML and Big Data analytics industry. Using supercomputers A3Cube can increase overall system performances and deliver “limitless” resources to any application. Billi stresses that AI applications need cutting edge hardware to perform efficiently. The implementation of AI requires more than just innovative software. It also requires tremendous computational power. And this is what sets A3Cube apart from its competitors. Apart from hardware solutions, A3Cube offers a new approach to AI implementation. A3Cube has a special division focused on developing special algorithms for AI applications. Through these operations, Emilio Billi has distinguished himself and is considered a pioneer in the AI field. Emilio Billi wants to lead the era of the AI revolution through A3Cube.
Time is money
The time taken to access the data and delays in processing is crucial in businesses. Consider an AI application that predicts fraud: the software is only useful if it predicts the fraud quickly. Then it can be dealt with or avoided before it’s too late. If we have to predict a storm, it is only beneficial if it is predicted in time to take the necessary precautions. The results of collecting data must be analyzed in a time frame close to real-time for it to be of any use to anyone. Billi assures the fastest data access, best resource balancing, best application performance, and “infinite” computing power. This overcomes the current challenges faced by companies. These solutions overcome these challenges using well-designed and easy-to-scale systems. It fits all types of application needs.
AI Solutions by A3Cube
While training a computer with a dataset of over 1.28 million images, a traditional hardware system would take about 1310 hours (around 54 days!). When processed using other AI solutions, it would take about 23 hours. A3Cube transforms ordinary servers into ultra-powerful supercomputers. This cuts down the time to 48 minutes!
A3Cube has created a predictive system based on AI to optimize warehouse programming and management. The system is based on the potential and future demands for a leading brand in luxury fashion. Through this project, Billi aims to install industry 4.0 in the brand’s manufacturing process.
Challenging the Status Quo
Being creative while being calculative of risks requires a tremendous amount of skill. Emilio Billi owes it all to his out of the box thinking and pushing beyond limits. He is a visionary and admits that most people don’t understand his foresight. He stays one step ahead of his competitors because he can predict market trends and thinks beyond the status quo. Passion is the only thing that Billi expects from his team. According to his philosophy, A3Cube always puts morals before everything else. He advises budding entrepreneurs to keep themselves updated with the latest technologies. He makes sure to celebrate even small victories while heading towards bigger goals. He doesn’t give much importance to profit but prioritizes the perfection of his products.
Wrapping it up
Although AI-driven tools can help in reducing errors and maximize the capability of man to conceive new products, Billi says that they could never take over humans. AI could never replace human intuition. In other words, AI enhances human performance by eliminating inefficiencies, it can never replace human capability.


AI
MemryX: a new Edge AI startup that has developed a highly efficient and scalable AI accelerator. Keith Kressin, President & CEO, MemryX

MemryX: a new Edge AI startup that has developed a highly efficient and scalable AI accelerator.
As the CEO of MemryX, Inc., an innovative Edge AI startup founded by professors at the University of Michigan in Ann Arbor, Keith Kressin has been a passionate entrepreneur. Prior to joining MemryX, Keith was a SVP at Qualcomm, leading a spate of activities including the Snapdragon roadmap, technologies for application processing, company strategy, competitive analysis, and more. In an interview, he speaks on an array of topics. Excerpts:
Conception of MemryX
“Our team wanted to develop an AI accelerator that was customer friendly in terms of ease-of-use and scalability, while providing excellent technical metrics.” Adds Keith that the team wanted to develop a hardware accelerator that could be adapted to any trained AI software model, rather than needing to train and then modify the model to run well on target hardware. “So our focus from the start was on developing technology to meet a key customer need and hence MemryX was born.”
Challenges galore – AI technology
AI continues to grow in a variety of different applications and industries as it is used to make cities, companies, and hospitals smarter, help increasing manufacturing efficiencies, better support education inside and outside the classroom, and more. “AI can add a layer of intelligence into any device that computes. Of course, every new technology is just a tool and those tools need to be used to increase to increase productivity and quality of life, rather than the limit freedoms or increase natural biases.” MemryX envisions accelerating Edge AI by providing a highly efficient and scalable solution that is simple to deploy and support.”
The key is the company’s innovative MemryX architecture. “Our architecture was designed to natively support pre-trained AI models with high efficiency and utilization. If one doesn’t consider model structures and framework, and only focuses on HW efficiency the result is theoretically strong, but practically weak. MemryX architecture was designed not for white papers or theoretical achievements, but for broad customer scale and deployment.” The combination of at-memory computing, pure dataflow, and our unique memory-based fabric interconnect all support our ability to scale verified models into high volume with a very simple to use software SDK.
One trap for AI is focusing on the core technology itself, rather than the practical application of that technology throughout the entire value chain. As in most industries, solving customer needs be in the forefront. AI is extremely complex with many facets. It is also very exciting and dynamic field that attracts individuals with a wide variety of background and skills. The key is to stay focused on the larger picture while being extremely adaptable to market and technology changes.
Leadership traits
“It all starts with clear and transparent organization & communications. People need to understand objectives, timelines, and be given the tools/resources to achieve well defined goals. Teams need to be encouraged to be open and honest.” Realistic, approachable, in-tune with all functions of the entire organization, humble, goal-centric, empowering, and one who honestly cares about the company, the team, and the individual. Keith’s leadership style is approachable with realistic expectations and stays in-tune with all functions of the entire organization. He honestly cares about the company, the team, and the individual.
“Fear in failing is usually rooted in the reaction to the failure in terms of embarrassment or punishment. However, if leaders encourage an intelligent risk-taking culture where we learn from our failures, then we grow to become a stronger organization. Further, failures from risk-taking can be minimized through proper hiring, organization, funding, and goal setting.”
AI
RAIN Defense + AI: Creating synergies between AI and defense sectors Norine MacDonald KC, President & Founder, RAIN DEFENSE + AI

RAIN Defense + AI: Creating synergies between AI and defense sectors
Norine MacDonald is the President and Founder of RAIN Defense + AI, an exciting new global platform on AI and Defense. She was formerly President and Founder of The International Council on Security and Development (ICOS), an international security and development think tank founded in 2002. Ms MacDonald is a former Distinguished Research Fellow for National Defense University in Washington and a graduate from Massachusetts Institute of Technology Sloan School of Management program in Artificial Intelligence (AI). In an interview, she speaks on an array of topics. Excerpts:
Conception of RAIN Defense + AI
For Ms Norine MacDonald it is clear that the business of war is being overtaken by the advent of AI, and a competitive and fast-moving global environment. Western governments need to be competitive with other countries, primarily China, that have been investing heavily in the sector.
The AI + Defense sector offers significant investment opportunities, particularly for non-traditional business players. The global AI + Defense market is projected to grow to $61 billion by 2027.
“There is no specialized single company or platform for the AI + Defense sector to source comprehensive, intelligible and relevant knowledge/data and connect to all the players globally” said Ms Norine MacDonald.
RAIN Defense + AI is an exciting new venture working at the critical intersection of AI and Defense:
- RAIN INDUSTRY provides access to expert knowledge and data analytics on current and emerging AI technologies on defense platforms for all market participants across sectors and geographies.
- RAINCLOUD creates a global community content platform with a validated network of multidisciplinary professionals, with curated data and news and product info in AI and defense.
RAIN, the AI and defense solution: the RAINCLOUD global platform
To understand and unpack the complex world of AI and defense, RAIN produces commercial INDUSTRY Reports which provide:
- benchmarking various defense sector platforms and AI, along with trends and forecasting.
- complete information “Who’s Who” data on individuals working in the field of AI and defence.
- a data and directory on Venture Capital players active in AI and defense. Norine says: “We have mapped the 500 most influential individuals in the US in our RAIN 500 and we have done an extensive report on the 40 main venture capital firms in the US and the 150 defense and dual-use startups they invest in.”
As a gateway to RAIN Research data and content platform RAINCLOUD will be launched in 2023.
“For RAIN, our access to government clients has been made much easier through our business connection as a data provider with Grist Mill Exchange, which functions as a data marketplace for government and national security enterprises. Through Grist Mill Exchange we will be able to provide our INDUSTRY reports to government stakeholders and to onboard them to the RAINCLOUD global platform where they can connect with AI startups, venture capitalists, defense companies and scientists working in the broad field of AI and defense.”
AI and Defence: a new Ethical Challenge
“AI solutions in defense are now more than ever driven by the commercial sector and dual-use technology. While onboarding such technology in the military world is revolutionary in terms of competitiveness, we cannot ignore the important ethical questions inherent in their adoption.”
AI enables unprecedented opportunities for more autonomy, and this changes the human-machine interaction. Therefore, we decided from the beginning that RAIN would also have an Ethics Division, which helps unpack the ethical and legal arguments involved and supports discussion and debate on these issues, she observed.
Leadership Traits
“The RAIN team has been working together for more than 20 years on international security and policy issues in Afghanistan, Latin America and the Middle East. To launch a new company requires both creativity and stamina. We are lucky to have a close-knit team that works well both independently and together.” Norine believes in having a hands-on approach to the work in the sense that she involves herself in the conception, research and implementation of projects, from field work in conflict zones contexts to testifying at the highest levels of government. “If you have a good business idea stick to it – but at the same time be flexible and adapt as you go along. Hard work, high standards and discipline will never fail.”
AI, the Defense sector and start-ups
In the AI and defense sector, there are exciting new companies developing defense and dual-use technology. These start-ups benefit from new ways to work directly with the government to develop and test their prototypes. At the same time, there are new venture capital firms that focus especially on defense and national security-oriented startups.
“We want to bring all these actors together on our RAINCLOUD platform for mutual benefit. Companies will be able to showcase their latest products and services in our virtual trade show”, MacDonald said.
AI
PSI FLS Fuzzy Logik & Neuro Systeme GmbH: Optimizing Industrial Business Processes with AI Rudolf Felix, CEO, PSI FLS Fuzzy Logik & Neuro Systeme GmbH


PSI FLS Fuzzy Logik & Neuro Systeme GmbH: Optimizing Industrial Business Processes with AI
Rudolf Felix is the CEO of PSI FLS Fuzzy Logik & Neuro Systeme GmbH, a German company that specializes in developing and providing software solutions for complex technical systems. Rudolf Felix has been with FLS in the PSI Group since 2008 and has been the CEO since already 1992. Under his leadership, the company has grown to become a leading provider of software solutions for technical systems, particularly in the fields of energy, industry, and transportation. Rudolf Felix has also been involved in various research and development projects related to fuzzy logic and artificial intelligence and has published numerous papers in these fields. In an interview, he speaks on an array of subjects. Excerpts:
Conception of PSI FLS Fuzzy Logik & Neuro Systeme
Says Rudolf that making decisions is crucial for successful and efficient operation in every industrial business process. Decision-making processes that are based on business goals must reflect both long-term strategies and the current operational situation. If the decisions are based on data and the pros and cons between the business process goals are machine evaluated, machine learned and optimized, business process owners and operators get the best possible benefit. “An optimized and explainable decision support is particularly helpful here. And this is exactly what PSI FLS and the specially developed Qualicision AI technology is all about. It combines both technical and economical business goals. An efficient, easy-to-use, and explainable software that is used for business process optimization is what we deliver. It is data-based, and balances out conflicting business process goals ahead of classic algorithms and provides for the performance that our customers across many industrial sectors appreciate.”
AI- Challenges galore
According to Rudolf, many of the industry’s industrial AI use cases have long been developed and in use. Perhaps in the pandemic time, the constant work with computers at home is an additional momentum. “But in my view, business processes in industry have evolved in their objectives rather because of the growing importance of topics such as digitalization, exploitation of data, sustainability and green energy or new possibilities to integrate automatized decision-making in context with many new important aspects in business processes. Therefore, the complexity of the processes has rather increased.”
PSI FLS Fuzzy Logik & Neuro Systeme AI solution
Qualicision AI stands for qualified support with decision-making when optimizing business processes. Qualicision technology was originally based on fuzzy logic which has been extended by a full stack of AI methods that combines the advantages of all of them. In this combination Qualicision AI helps to integrate decision-making expertise of people with business process know-how and connects it with data-driven AI. In addition, the Qualicision AI software has been extended by highly automated deployment. Machine-learned explainability mechanisms are part of it, too. In business processes there are a lot of pros and cons when decisions must be made. Therefore, uncertainty is intrinsic even if all data is clearly measured and in good shape. Automated recognition of these kinds of uncertainty, in particular stemming from the variety of the data and interaction between decision options, is extremely important. “Our Qualicision AI based tools help to identify and to exploit tolerances in the business processes and to optimize out uncertainty. Many use cases show that once Qualicision AI is introduced the business process efficiency increases by 10 to even 25 percent compared to the previous unoptimized status quo.”
Leadership traits
Trying to get inspired from people for whom and with whom you work and trying to inspire them, too. Everything else is the right technology you must have and the passion to work with it. “When you work on something with passion, the thought of possible difficulties is more of a drive. This is especially true when you are working on the implementation of something you have been involved in from the beginning on.”