Machine Learning Patent Landscape in Asia

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Machine Learning Innovations in Asia

Recently, Celcom Axiata and Cisco have partnered together to improve mobile connectivity across Malaysia through the implementation of artificial intelligence (AI) and machine learning technology innovations in Asia Pacific. This would be accomplished through the joint efforts of both companies. The updates are centred on the integrated software-defined network (SDN) transport infrastructure that is scheduled to be deployed in future. This will be done with the intention of “substantially improving” the service provisioning time for “businesses of all sizes as well as consumers.”

To understand how machine learning innovations in Asia Pacific are impacting the international economy, look at what APAC is doing to make their sectors successful. Less visible industries are equally ready for innovation as high-tech fields, including machine learning innovations that are filed as machine learning patents by machine learning patent attorneys in Asia, including machine learning patent attorney in Malaysiamachine learning in Singapore, and the like. The spread of mobile phones in Asia-Pacific is changing the banking sector, which effectively uses machine learning. Smartphone and tablet use is rising throughout the region. 

In Asia, technological and scientific advances have advanced innovations based on machine learning and artificial intelligence. Most countries lag behind in these areas. Lower original creativity and ineffective technology exchange policies are to blame. Also, implementing a machine learning innovation landscape in Asia-Pacific countries has increased investment and MNC involvement. As an example, Tsinghua University in China has surpassed Korea’s POSTECH as the region’s most innovative university. The Chinese institution vaulted three ranks to become Japan and China’s top university. The results match Japan’s overall performance on Reuters’ lists of innovative universities.   

machine learning patent drafting

Asia-Pacific innovation also includes Fintech Labs. Companies can try new ideas and improve machine learning processes in these collaborative spaces. Busan Daily employed AI to study its audience’s preferences and deliver customised onsite search. It’s also building community tools and standards. These measures, together with more platform services, will be vital to regional success. Digital transformation based on machine learning will drive future innovation in Asia-Pacific. A review of Machine Learning Patent Landscape in Asia provides insights on strong AI patents and ML patents drafted by patent attorneys in Asia, which include enforceable patent claims.

Machine Learning Patent Example

Nowadays, many companies are opting for a patent related to machine learning to gain control over the market. In terms of ML basics, inventors understand that there exist three types of machine-learning mainly, including, supervised learningunsupervised learning, and reinforcement learning. For example, to provide exact and short answers to its users, Google has recently patented a machine-learning algorithm to include rich media for a specific type of answers and provide the best results for voice searches. Similarly, Amazon has filed a patent to capture details of conversations happening around its smart device Alexa and record them. After analyzing such data, it shall be used for advertising purposes. On the other hand, Samsung has filed a patent for a drone that is controlled via hand gestures and facial recognization to project customized ads to its customers. This drone comes with a flying display with the ability to detect a person’s hand gestures, face, and pupils. 

Many countries have been debating over the process to determine the scope of examination standards and legal protection in case innovation created by ML is granted a patent right. Another question is what the scope of patent rights for the inventions should be that AI creates and involves the determination of examination standards along with the scope of restrictions and authorizations. Similarly, lawmakers are pondering over what should be the legal status of the invention that AI creates or how to treat the relationship between a general inventor, ML inventor, and ML as an inventor. The third question is regarding the distribution of innovation that ML creates, i.e., distribution and redistribution benefits for ML investors, ML owners, and the public. 

Machine Learning Innovations

The machine learning invention is an information product that also covers the legitimacy of property in market value. The patent system should assist such innovators to coordinate the balance between transaction security and freedom that the innovation market provides. The patent system must provide a normative approach for machine learning inventions and clarify the patentability of innovations to create sustainable development of the computer-human collaborative approach in the ongoing technology era. 

Machine Learning Patent FAQs

Here are few important frequently asked questions pertaining to machine learning patents.

​​Can you patent a ML model?

patent for a machine learning model will contain certain components. It will contain the title of the invention, its description, claims, and the name of one or more inventors. A patent will also identify the patent assignee, which is a person who owns the rights to the invention. A patent for a machine learning model is a complex process. If you want to protect your creation, it is important to follow the proper procedures.

First, inventors should file a patent for a machine learning model only if it can be used to identify patentable ideas. Patent office examiners are required to search for patents using their skills, and machine learning could help them focus on higher-level tasks. While large software companies have been patenting artificial intelligence-related technologies for decades, startups in fields outside of the software sector are quickly taking advantage of the technology. Adaptability: Another key aspect of a patent for a machine learning model is the ability to make the algorithm fit the specific technical implementation. Adaptation to a specific technical implementation means that the algorithm is adapted to the way a computer operates. A neural network training method will consider the features of the computer to determine when to cache information. By utilizing such considerations, an innovation using a machine learning model can be patent-protected.

Are patents good for innovation?

The role of patents in promoting innovation has often been discussed across various forums. CEOs of high-tech companies argue that a patent is essential for their businesses, while economists are less sure. Some researchers have found that patents can hinder innovation (by 13%). That is why it is crucial to understand the role of patents in promoting innovation before making sweeping policy changes. 

Having a patent protects the technology. Patents also promote downstream development through contracts and commercialisation. Patents reduce the gap between science and industrial innovation, enabling new ideas to be reproduced by others. Furthermore, patents can foster the diffusion of knowledge and help facilitate the exploitation and commercialisation of new technologies. 

How do you patent machine learning?

As AI and machine learning become more commonplace, many innovators are seeking ways to protect their work with patents. Patent applications for machine learning and artificial intelligence have increased dramatically in recent years, but patent attorneys have struggled with how to claim these innovations. Luckily, there are a few steps inventors can take to ensure their work remains protected. Below are some key steps that patent attorneys can take to strengthen their machine learning patents.

Patent applications relating to AI and machine learning are essential for scientific discovery, but many technologies are not suited for patent protection. The application process can pose several risks. Some abstract ideas cannot be protected through patents, such as mental processes, methods of organizing human activity, mathematical formulas, or calculations. The government, however, continues to seek input from a range of companies on the topic of AI and machine learning, which can potentially lead to new innovations. 

When pursuing patents for AI and machine learning, inventors should first consider whether their innovation is truly innovative. Patent applications should contain claims, titles, and descriptions. Typically, the machine learning patent will name one or more inventors, as well as the assignee (the person who owns the patent rights).

In addition to the crucial points stated here relating to machine learning patents in Asia Pacific, the future business models based on innovation may regularly need assistance for Patent Searching. The results of a patent search report can assist in determining if Patent Drafting is the next step for International Patent Filing along with USPTO Patent Filing. In case of blockchain based business models, utility token Legal Opinion Letters may also be needed, along with a set of applicable contracts and agreements.

Our team of advanced patent attorneys assists clients with patent searches, drafting patent applications, and patent (intellectual property) agreements, including licensing and non-disclosure agreements.

Advocate Rahul Dev is a Patent Attorney & International Business Lawyer practicing Technology, Intellectual Property & Corporate Laws. He is reachable at rd (at) patentbusinesslawyer (dot) com & @rdpatentlawyer on Twitter.

Quoted in and contributed to 50+ national & international publications (Bloomberg, FirstPost, SwissInfo, Outlook Money, Yahoo News, Times of India, Economic Times, Business Standard, Quartz, Global Legal Post, International Bar Association, LawAsia, BioSpectrum Asia, Digital News Asia, e27, Leaders Speak, Entrepreneur India, VCCircle, AutoTech).

Regularly invited to speak at international & national platforms (conferences, TV channels, seminars, corporate trainings, government workshops) on technology, patents, business strategy, legal developments, leadership & management.

Working closely with patent attorneys along with international law firms with significant experience with lawyers in Asia Pacific providing services to clients in US and Europe. Flagship services include international patent and trademark filingspatent services in India and global patent consulting services.

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Blockchain ecosystem in India is evolving at a rapid pace and a proactive legal approach is required by blockchain lawyers in India to understand the complex nature of applicable laws and regulations.


ASEAN Business Information for Technology Companies

Business in Singapore, Patent Attorney in Asia

ASEAN stands for The Association of Southeast Asian Nations which is a regional organization that comprises ten countries in Southeast Asia, which promotes intergovernmental cooperation and provide the facility of political, economic, security, educational, military, and socio-cultural integration among its members such as Indonesia, Thailand, Malaysia, Singapore, Philippines, Vietnam, Brunei, Myanmar (Burma), Cambodia and Laos. These facilities are provided to the other countries of Asia also. ASEAN was founded on 8 August 1967 in the Philippines with its  headquarter in Jakarta, Indonesia. The founders of ASEAN are Abdul Razak Hussein, Narciso Ramos, Adam Malik, S. Rajaratnam, and Thanat Khoman.

Business investments in ASEAN are able to achieve desired goals through advisory and expertise of management consultant. The management consulting services are aimed at creating a digital trust through financial management initiatives. Across various companies, financial analysis to ensure regulatory and legal compliance is the backbone of a strong business strategy. Such initiatives result in optimization of financial processes and an effective cost management. The job profile of management consultants in ASEAN markets like Singapore also covers risk consulting, deal advisory and preparing best practices for strategy and operations.

In February 2016, the United States hosted its first-ever ASEAN Summit. The meeting was part of President Obama’s efforts to strengthen economic and security ties with Southeast Asia. The US’s interest in ASEAN countries has grown significantly in recent years as tensions rise over the highly disputed South China Sea. ASEAN is a political and economic alliance of ten countries. The group’s five original member states are Indonesia, Malaysia, The Philippines, Singapore, and Thailand, founded ASEAN in 1967, during the height of the Vietnam war. At the time, many Southeast Asian governments were at war with their respective communist-led groups. Guerrilla groups and leaders became increasingly concerned over the region’s political vulnerability. So, they formed an alliance to secure the region against the threat of communism and to give Southeast Asia a cohesive voice on Cold War issues.

ASEAN wants growth with the available rich resource reserves and an established manufacturing base which, only be possible by the regional economic integration agenda of the ASEAN Economic Community (AEC). The main function of the ASEAN Economic Community (AEC) is to realize the region’s end goal of economic integration. ASEAN Economic Community (AEC) visualize ASEAN as a single market and production base, a highly competitive region, with economic development, and integrated into the global economy. The Asian Economic Community facilitates the implementation of trade, investment, and services which, is necessary for each ASEAN member state.  ASEAN’s economic performance is very good across the globe. The region’s investment prospects in the ASEAN member state have made consistent growth.

Intra-ASEAN trade and Extra-ASEAN trade has been boosted by the prospect of an integrated ASEAN economy in the form of a unified market and single production platform through the free flow of goods and services, capital, investments, and skilled labour. In the future, it may be possible that the ten members of the ASEAN may persuade FDI to invest in their region, and several alternatives are there to make the region in to a better competition against a global economy. It is necessary to apply liberalization of trade, integration of capital markets, and standardization of legal and regulatory frameworks in the region of these states of ASEAN which, reduces the difficulty for doing business in these states.  

ASEAN Free Trade Agreement (AFTA) was established in the year 1992 at the ASEAN Summit in Singapore in response to other emerging regional groups such as NAFTA, EU, etc. The main objective of the ASEAN Free Trade Agreement is to create a single market and an international production base. ASEAN Free Trade Agreement (AFTA) attracts FDI and expands Intra ASEAN trade and investment and it strengthens, and deepens Intra ASEAN Industrial linkages. In December 1998, at the sixth ASEAN Summit, all members of ASEAN agreed that AFTA would come into effect in the year 2002, but it went into effect in 2003 for the automotive sector. ASEAN Free Trade Agreement increased competitiveness among AFTA members countries. The most important factor of AFTA is the liberalization of trade. The main motive of AFTA is to expand the intra-regional trade so that the consumers of ASEAN are benefited from choosing plenty of products of better quality.

ASEAN is becoming important in a trade and is now the third-largest in the world after the European Union and the North American Free Trade Agreement. After comprising ASEAN6 such as Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam with Brunei, Cambodia, Laos, and Myanmar, it has a combined GDP of US$2.31 trillion (2012). ASEAN is a trade bloc of ten nations with an aggregate economic size of $2.3 trillion which, is measured by the total GDP of the member countries. The main objective of the ASEAN trade bloc is to establish a fully-fledged economic community (AEC). The trading bloc’s diversity that ranges from advanced economies such as Singapore to developing countries such as Myanmar is an interesting feature. The ASEAN bloc cancelled all import and export duty taxes on items that traded between them except Cambodia, Laos, Myanmar, and Vietnam who always continued to impose a duty on certain items. In the year 2015, the entire region became  free of duty.

ASEAN has a free trade agreement with other Asian nations. These Asian nations are now radically altering the global sourcing and manufacturing landscape. ASEAN has a treaty with the matured market such as China that has effectively done away with reduced tariffs on nearly 8,000 product categories, or 90% percent of imported goods, to zero. These are the favourable terms that affect China and the original ASEAN members such as Brunei, Indonesia, Malaysia, the Philippines, Singapore, and Thailand positively. Cambodia, Laos, Myanmar, and Vietnam also implemented these terms in the year 2015. 

FTA stands for Free Trade Agreement which, is a pact between two or more nations for reducing barriers between imports and exports among them. With the help of the Free Trade Agreement, goods and services can be bought and sold across international borders with few or no government tariffs, quotas, subsidies, or prohibitions to inhibit their exchange. The main function of the Free Trade Agreement (FTA) is to reduce or eliminate barriers to trade across international borders. China (FTA) gives benefits to Vietnam, Indonesia, and other ASEAN countries by offering lower wages and attracting foreign investment both for the Chinese market. ASEAN has a similar FTA with India, which is in the process of reducing tariffs on 90 percent of all traded goods between ASEAN and India. India has a sizeable middle-class consumer market, but it can grow as fast as China.

The member countries make ASEAN rank high in top priority for many patent applicants, and also, they have made a considerable improvement to their IP laws and enforcement practices. The improvement of IP laws and enforcement practices connected with advancements in technology and industry has made these jurisdictions much more desirable in recent years. There are possibilities of more applicants involve these countries in filing their strategies. Malaysia, Singapore, Indonesia, the Philippines, Thailand, and Vietnam are the most filed destinations. There are many similarities among the ASEAN countries, but each country has its own unique set of IP laws.

Most of the applicants consider filing in ASEAN because of market opportunities, competitors, and manufacturing locales. The other advantage of filing in ASEAN countries is that examination and filing fees are very low. Most of the countries are also contributing their resources in their patent systems and creating specialized IP courts.

Business in Singapore

Business in Singapore

Singapore offers tremendous opportunities to the international business community, which considers Singapore as the perfect location to setup their company and launch their business. Singapore is rated no. 1 in the world by World Bank for ease of doing business and is ranked among the top wealthiest nations in the world by Forbes magazine. Politically, Singapore is rated as the most stable country in Asia and has the best labor force in the world. Another major advantage of doing business in Singapore is its convenient location. Singapore is situated in the heart of Southeast Asia, thus making it possible to access a market of 2.8 billion people within a few hours flight. Additionally, Singapore’s port is one of the busiest in the world, and the country is classified as a premier International Maritime Centre.

Singapore is termed as the easiest place in the world to set up and manage a business, and it only takes about a couple days to incorporate a company in Singapore. Singapore offers another important advantage to entrepreneurs and corporations because of its low effective tax rates, for both personal and corporate. It is strongly believed that Singapore may become the next Silicon Valley, and hence protection of Intellectual Property Rights (IPR) is given utmost importance in this country.

We assist our clients in developing their business strategy for setting up and running their business successfully within Singapore. Our team provides valuable consultancy to our clients regarding all major Asian jurisdictions, ranging from detailed Investment Guidance, Legal Consultancy, Taxation, Labor laws and the like.

We provide business and management consultancy services to our clients helping them in the key business areas aimed at maintaining strong market position and identifying competitive challenges by providing perfect combination of a localized approach while maintaining international quality standards. We act as single point of contact for multiple aspects of business by providing research and consultancy services including Competitive Intelligence Services, Analyzing Competitive Climate of Various Markets, Major Market Players, Trends and Changes in Market Structure, Market Entry Feasibility Study, Mergers & Acquisitions (M&A) Services, Strategic Investment Guidance, Business Forecasting, and the like.

Additionally, we provide business consultancy regarding laws in Singapore for companies who either plan to enter Singapore or already conduct business in Singapore, including, Patent Filing Strategies with Singapore Patent Office, Patentability Searches, Provisional & Non-provisional patent drafting, Office Action Responses, Patent Prosecution Support, Freedom-to-operate Searches, Patent Invalidation Analysis, Patent Claim Charts, Patent Portfolio Assessment, Strategic Patent Counseling, Mergers & Acquisitions, Incorporating a Legal Entity in Singapore, Conducting business through branches, joint ventures and subsidiaries, impact of product liability laws, impact of labor and employment laws, General income tax issues, and the like.

We provide technical consulting and guidance to our clients ranging from start-up ventures to large corporations in a wide range of technical matters, including new methods or processes, machines and mechanical devices, circuits, tools, structures, chemical and biological compositions (pharmaceuticals, DNA sequences, biological materials etc.), genetically engineered plants and animals, computer programs, mobile applications (apps), and business methods.

We provide individuals, startups and businesses with patent filing, patent protection, patent advice, patent services, invention filing, invention protection, invention services, invention advice, copyright filing, copyright protection, trademark filing and trademark protection before Indian Patent and Trademark Office.