TECH OFFERS

Facial recognition systems or tools identifying and measuring facial features in a video image have gained traction in recent years for applications such as smart surveillance. Such systems which may either be cloud or edge-based, often require real-time computations done in order to meet operational requirements. Edge-computing while providing benefits such as lower latencies and data privacy, are challenged by computational constraints of edge devices. Addressing this challenge, a Singapore company has developed a Neuromorphic AI-based solution that enables facial recognition by combining pre-processed real-time video data with recognition capabilities. The low-power edge AI solution allows computing to be carried out at the camera location with adaptive learning capabilities. Neuromorphic computing, which mimics the neural structure of the human brain, represents a novel approach in artificial intelligence and offers significant benefits for facial recognition technologies, including lower power consumption, faster processing speeds, and improved learning capabilities. The tech owner is seeking partners such as camera system manufacturers and system integrators to co-develop or testbed the technology for video surveillance applications. Technical specifications* of the Facial Recognition system Able to achieve 96% accuracy under optimal lighting conditions, and at allowable head rotation of ±15 degrees System can be interfaced with 8, 16 and 32 channels of security video channels Face Detection Detection of multiple faces in a photo, as well as on thermal images Detection speed – (webcam resolution ±15° in plane head rotation): 0.0081 seconds Facial Feature Detection Detection of 70 facial feature points Detection time – (excluding face detection stage): 0.00027 seconds (3733 FPS) Eye Center Detection Detection time (eye centres only, not including face detection stage): 0.00027 seconds (3752 FPS) Gender Recognition (different genders, not including face and facial feature detection stages): 0.0039 seconds Facial Expression Recognition Recognizes if the subject smiles and if the eyes are open or closed. Expression recognition time (not including face and facial feature detection stages): 0.0043 seconds. *Preliminary specfications as measured on AMD Ryzen 5 1600X processor with 12 threads Potential applications include (but not limited to): Video surveillance Security access control and biometrics On-the-fly registration and ID checks via webcam (e.g., Healthcare, Finance) Mobile, remote applications without consistent network connectivity The global video analytics market is anticipated to grow at a CAGR of 23.4% to gain $20.3 billion by 2027, according to a report by MarketsandMarkets. The edge-based segment is expected to grow at a higher CAGR during the forecast period. In the edge-based architecture, video analytics is embedded into the camera and the video there itself. Advancements in deep learning and its integration with the edge system are expected to drive its adoption in the coming years. High speed parallel processing – able to process complex tasks at high speed Adaptive learning – able to carry out anomaly detection and learning on-the-fly Training with minimal dataset – system is able to start working with minimal sample dataset Low-power edge AI - No GPU required Infocomm, Security & Privacy, Video/Image Analysis & Computer Vision, Video/Image Processing

The manufacturing of electronic devices often involves multiple steps, where metal wiring is a fundamental component providing electrical connections and resin resist stripping solution is used to remove photoresist layers after the patterning and etching processes. Both steps are critical in the production of various electronic components, including printed circuit boards (PCBs), semiconductors, and microelectronic devices. Advances in such processes continue to push the boundaries of what's possible in electronics manufacturing, enabling the production of devices with higher performance, smaller size, and lower cost. Research and development efforts to seek safer, more efficient, and environmentally friendly methods are ongoing challenges. The technology owner has developed a proprietary chemical solution for metal wiring, especially targeting copper (Cu) wiring, although metals such as aluminium and gold are also used due to their excellent electrical conductivity. This unique chemical solution can ensure high-quality and precious shape control of wiring formation. This is also complemented by an advanced resin resist stripping solution, which not only exfoliates the photoresist, but also preserves the base metal from scraping / damage. On top of this, this solution enables controlled roughing of metal surfaces to meet specific requirements. The effectiveness of both solutions has been validated in the mass production of liquid crystal panels. The technology owner is seeking R&D collaboration with industrial partners interested in adopting these solutions into their electronic device manufacturing lines. Key features of the metal wiring chemical solution include: Precious shape control of metal wiring using unique electronic polarity of organic acids High-quality and high-stability control of the wiring shape Applicable for laminated metals and specific layer etching High design flexibility to meet application needs Seamlessly integration with existing metal wiring processes Key features of the resin resist stripping solution include: Achieve fine pattern formation using nucleophilic substitution ability of amine High stripping power suitable for hardbake resist Compatible stripping force to control base metal damage Reduce damage rates and improve product reliability Customisable to meet different requirements These innovative solutions could revolutionise the manufacturing processes of various electronic substrates and components. Potential applications include (but are not limited to): Liquid crystal display (LCD) panel production Semiconductor manufacturing Manufacturing of flexible electronics And beyond: medical device and microelectronic device manufacturing Optimise the manufacturing process of electronic substrates Fully customisable for specific substrates and requirements Easily adaptable into existing manufacturing lines Proven effectiveness in the mass production of liquid crystal display panels Metal Etching Solution, Resist Peeling Solution,, semiconductor manufacturing, electronic equipment manufacturing Electronics, Semiconductors, Display, Manufacturing, Chemical Processes

The demand for thinner, lighter, and more durable glass in consumer electronics and other high-tech applications is constantly increasing. Thinner and lighter glass not only enables the design of sleeker devices but also enhances the tactile responsiveness of touchscreens, contributing to the overall performance and durability of the product. However, conventional glass thinning solutions face challenges, particularly in dealing with surface imperfections, which can impact the quality and efficiency of glass manufacturing. During the thinning process, surface imperfections like scratches and dimples become more pronounced, significantly affecting the optical clarity and overall quality of the glass, leading to increased product rejection rates and manufacturing costs. To address such challenges, the technology owner has developed a proprietary chemical solution specifically for glass slimming or thinning, aiming at effective dimple suppression while maintaining the desired thickness. This advanced solution enables the uniform melting or removal of material from the glass surface, preventing the spread of small scratches and the formation of dimples on the glass surface. This chemical solution ensures the production of super-thin and high-quality glass that aligns with the dynamic demands of the evolving industry. Its application proves beneficial in industries where the precision and quality of glass are paramount. The technology owner is seeking R&D collaboration with industrial partners interested in adopting this chemical solution in the processing or manufacturing of glass related components. This solution enables the uniform melting or removal of material from the glass surface, effectively mitigating the spread of small scratches and preventing dimple formation. Key features of this technology include: Enhanced glass performance: dimple suppression contributes to the uniformity of glass, ensuring optical clarity, tactile responsiveness and aesthetic appearance Improved product durability: the presence of dimples leads to stress concentration. Suppressing dimples helps maintain the strength and durability of glass product Cost-effectiveness: this chemical solution can be seamlessly integrated into existing  glass processing or manufacturing lines, making it viable for mass production This chemical solution can be applied to processing / manufacturing of various thinner and lighter glass components. Potential applications include (but are not limited to): Advanced display: liquid crystal display (LCD) in various electronic devices like TVs, monitors, smartphones, etc. Optics and photonics: high performance lenses and optical components for cameras and microscope Medical devices: lab-on-a-chip devices, microfluidic devices, biosensors, diagnostic chips, etc. Flexible electronics: rollable / foldable displays, flexible solar cells, and wearable devices, etc. Improve the overall quality of glass Reduce rejection rates and manufacturing costs Customisable to meet different requirements Adaptable to existing glass processing facilities Glass Processing, dimple suppression, Electronics, Optics, Medical Devices Manufacturing, Surface Finishing & Modification, Chemical Processes, Chemicals, Organic

In today's fast-paced business environment, the efficiency of B2B sales prospecting is paramount. Traditional methods often fall short, plagued by challenges like low conversion rates, low deliverability, and high operational costs. A Singapore-based AI startup has introduced a groundbreaking solution designed to automate and enhance B2B sales prospecting through advanced AI and Machine Learning (ML) algorithms. Their technology addresses the critical pain points in sales prospecting by automating the process with high-performance emails, thus ensuring higher deliverability and higher conversion rates at significantly reduced costs. They are part of Singapore’s inaugural Generative AI Sandbox, a collaborative effort between Enterprise Singapore and the Infocomm Media Development Authority (IMDA). Advanced Sales Profiling: Central to the technology is a sophisticated sales profiling system that scrutinizes over 50 communication parameters to identify the most impactful engagement strategies for each prospect. This system probes the subtleties of sales communication, refining aspects such as email timing, message sequencing, and the strategic inclusion of elements like case studies. This detailed approach ensures personalized interactions for every prospect, significantly enhancing conversion potential. Proprietary ML Algorithms: The elimination of guesswork in sales prospecting is driven by the Startup's proprietary ML algorithms. These algorithms dissect an extensive set of communication parameters to tailor every facet of the email campaign, crafting each message to resonate with its recipient. From selecting the perfect opener to determining the exact call-to-action, the technology guarantees emails are primed for maximum engagement and response. High-Performance Automated Emails: The Startup elevates the automation of sales email creation and distribution to new heights. Users have reported a 40% surge in sales conversions at costs 90% lower than traditional sales development representative (SDR) tactics. The platform's automation extends to the ongoing refinement of email campaigns via smart feedback loops, requiring minimal initial setup. Dynamic Email Generation: Beyond static messaging, the Startup's technology dynamically produces each email based on live interactions, ensuring follow-up messages are influenced by how recipients interact with preceding communications. This leads to highly personalized and efficacious email sequences. Exceptional Deliverability and Spam Filter Evasion: The Startup achieves over 99% email deliverability, ensuring messages reach their intended audiences. The method of crafting distinct emails for each campaign greatly lowers the chance of triggering spam filters, thus enhancing engagement opportunities. The integration of advanced sales profiling into the Startup's offerings reaffirms a commitment to providing customized, effective sales prospecting solutions. By meticulously analyzing and enhancing communication based on a broad spectrum of parameters, the technology ensures clients can engage each prospect most effectively, greatly increasing sales conversion rates while lowering costs. The Startup streamlines the sales prospecting process, offering businesses a direct path to finding more leads and converting more clients. By automating and optimizing email campaigns with AI and ML technologies, their solution ensures: Increased Lead Generation: Quickly identify and engage potential leads with minimal effort, maximizing outreach. Higher Conversion Rates: Tailor every communication to the prospect's needs and behaviors, significantly improving the likelihood of conversion. Efficiency and Cost Savings: Reduce the resources and time spent on manual prospecting, allowing teams to focus on closing deals. The AI solution stands out by offering a suite of benefits that directly address the challenges faced in B2B sales prospecting: Simplicity, Scalability, and Automation: Designed for straightforward operation, the Startup demands merely 15 minutes for setup before its AI, honed by top-tier sales experts, assumes control to refine email campaigns through continuous feedback. This simplicity and scalability cater to businesses of any size with ease. Fully Automated System: Requires just 15 minutes to set up, after which their AI, trained by world-class sales experts, takes over. Significant Performance Gains: Clients report a 40% higher sales conversion at 90% reduced costs compared to conventional strategies. Customizable and Scalable: Their solution is designed to fit seamlessly into existing workflows, offering APIs for rapid integration and full customizability. Artificial Intelligence Infocomm, Artificial Intelligence

Artificial Intelligence/Machine Learning (AI/ML) performance is predicated on training with good quality data. However, such data is often difficult to acquire due to ethical concerns, logistic problems, high cost, data bias, and inherent poor data quality. Privacy restrictions and data regulations further compound the problem of data acquisition, restricting many organisations long-term access to valuable historical data. Ultimately, this creates the problem of incomplete or biased data which degrade the overall performance of trained AI/ML models.   This technology offer is a controlled synthetic data generation with differential privacy capability for structured (tabular) data. Its synthetic data engine utilizes conditional GANs (cGANs) coupled with optional differential privacy to synthesize data with similar properties as real data without the associated privacy risks. The core technology is a synthetic data engine that learns the distribution of the input data and selects the column to generate based on this distribution. Gaussian noise is further added to the gradients to protect the privacy of the data. The technology can generate data quickly: 10,000 rows, 8 columns in 8 minutes (evaluated on Nvidia GTX1080) and is mainly intended to generate synthetic datasets to address data scarcity, data privacy, and data augmentation. This generative process involves the following features: Conditional Generative Adversarial Networks (cGANS) generate synthetic data that mimic real data Sensitive data is obfuscated with statistical noise and randomization Definable privacy levels allowing adjustability between utility and data privacy (Differential privacy allows Machine Learning models to be trained on synthetic tabular data and achieve similar results as models trained on real data) Quality Assurance (QA) component generates reports to aid the assessment of data quality and risk metrics APIs for rapid integration, with full customisability This technology can be used for the following types of structured data: non-time series time series multi-tables free-text fields It can be applied in the following use-cases: Data Augmentation Increase the size of your datasets without wasting time to procure new data Data Extrapolation Extrapolate known data to generate unavailable or unknown data points Bias Correction De-bias or equalize the distribution of datasets Targeted Generation Generate rich data, including infrequent scenarios This synthetic data generation with differential privacy technology provides accessible privacy by design - adding privacy-preserving techniques before, during or after AI training, together with the following benefits: Synthetic data does not require further data sanitization, providing a safe data sandbox environment Reduces the need to pay for additional datasets by generating missing data or de-biasing existing datasets Overcomes the challenges of data acquisition by enriching real data with synthetic data through controlled generation Synthetically generated data become your data assets, with potential for monetization as new revenue streams Protect real data by combining made up data points to make it harder to distinguish what is real even if data is compromised Indefinite retention time without associated compliance risks and full accessibility to rich statistical data to provide a boost to AI/ML model resilience and performance The technology owner is looking to collaborate with technology partners in the field of AI/ML to co-develop new products/services, and for collaborators to test-bed in pilot projects. data, generation, privacy preserving, definable privacy, machine learning, synthetic data Infocomm, Security & Privacy, Data Processing

The exponential growth of electronic waste (E-waste) generation is proliferating due to the ever-increasing demand for electrical and electronic equipment (EEE) driven by industrial revolution and development. The COVID-19 crisis has further accelerated the shift towards digital transformation, contributing to an upsurge in E-waste generation. To-date, the industrial practices of extracting palladium (Pd) from electronic waste and mining ores rely on hydrometallurgy techniques using highly corrosive acids, typically aqua regia at elevated temperature. The process poses severe hazards to workers and lead to environmental pollution. Aqua regia’s capability to dissolve many various metals results in low selectivity for Pd. Despite ongoing efforts to develop alternative methods, these methods often prove impractical for industrial adoption. The technology provider has developed a proprietary lixiviant capable of extracting palladium up to 4,000 ppm at saturation with high extraction efficiency and selectivity within 12 hours. This lixiviant is facile, cost-effective, and significantly less corrosive and hazardous compared to current industrial practices. Substituting fuming aqua regia with this lixiviant could enhance the protection of workers and environmental safety. Importantly, the proposed technology is highly compatible with existing hydrometallurgy processes, eliminating the need for companies to change their current infrastructure. An E-waste industry partner has successfully conducted a pilot-scale (5-Litre scale) evaluation, validating the effectiveness and applicability of the lixiviant on their Pd-coated samples. The technology provider is actively seeking industry partners interested in test-bedding and licensing of this technology. Low cyanide concentration (< 50 ppm) stabilized in alkaline solution Optimal operating temperature of 90°C High selectivity (> 86%) and high extraction rate (> 86%) of palladium Cost-effective at ≤ USD 2.12/L extracting up to 4,000 ppm palladium at saturation within 12 hours Easy adoption and high compatibility with existing industrial hydrometallurgy systems Improve workplace safety and health which better protects workers and the environment Electronic wastes, such as Pd-coated connectors, Pd-coated wire bonding, etc. Pd-coated industrial wastes Recovered palladium can be further refined for resale and reuse In recent years, many countries have mandated environmental responsibilities to electronic manufacturers to establish producer recycling programs and ban E-waste disposal into landfills. E-waste contains precious metals, such as palladium, gold and silver that are highly sought-after by E-waste recycling companies due to their scarcity, high value and demand, and are actively traded as commodities over the last decades. The extraction of precious metals from E-waste is not only commercially attractive but also aligns with Corporate Social Responsibility and Environmental, Social, and Governance goals for resource recovery and environmental protection. The global E-waste market size was valued at USD 52.6 billion in 2022 and is expected to expand at a compound annual growth rate (CAGR) of 12.1% from 2022 to 2032, to reach USD 160.2 billion (Market.us, 2023). The proposed technology features a proprietary lixiviant capable of extracting palladium up to 4,000 ppm at saturation with a high extraction efficiency (≥ 89%) and high purity (≥ 92%). This cost-effective lixiviant is significantly less hazardous as compared to current industrial practices, thus better protecting workplace safety and health. Notably, the technology is compatible with existing hydrometallurgy processes and has been successfully verified at pilot-scale (5-Litre) in collaborating with an industry partner. Hydrometallurgy, palladium recovery, palladium extraction, palladium recycling, precious metal recovery, precious metal extraction, precious metal recycling, electronic waste (E-waste) recycling, electronic waste treatment Chemicals, Catalysts, Waste Management & Recycling, Industrial Waste Management

Electrolysis has diverse applications across various sectors, such as household and industrial electrolyzed water treatment, soda electrolysis, electrolytic plating, electrodeposition, and hydrogen generation. In electrolysis using insoluble electrodes, the electrocatalyst acting as the reaction field for the electrode reaction undergoes gradual abrasion. Given the high cost of precious metals (i.e., platinum group compounds) used as catalysts, protecting the catalyst and reducing the wear rate are crucial for extending the lifetime of electrodes and reducing the maintenance cost. Current technologies include multilayer electrodes that have a surface layer of noble metal oxide on the electrocatalyst to reduce catalyst wear. However, this method proves more expensive than ordinary insoluble electrodes. Additionally, the surface layer cannot be recoated. To address the challenge, the technology owner has developed a proprietary protective coating that effectively protects the catalyst on the surface of existing insoluble electrodes. This solution enables effective electrode protection through an inexpensive coating, reducing catalyst consumption and electrode replacement frequency. The coating can be reused by recoating the electrode, also contributing to the perspective of “Circular Economy”. The technology owner is seeking R&D collaboration with industrial partners such as electrode manufacturers, coating manufacturers, and companies utilising insoluble electrodes in electrolysis, especially electrolytic plating and metal recovery.  This unique coating, made of special silicone and conductive particles, can be applied to the catalyst surface and cured to reduce catalyst wear. Key features of this technology include: Improved electrode durability: double the replacement interval Excellent chemical resistance: capability to withstand harsh liquids such as strong acids and strong alkalis Optimal performance: good heat resistance, conductivity, and adhesion to the base material Efficient development: shorter development time and lower implementation cost compared to alternative methods such as electrolytic control and diamond coating Cost-effective solution: reduce maintenance cost and utilisation loss in the upstream process of electrolysis Circular economy contribution: reusable by recoating the electrode This technology can be used in handling harsh liquids such as strong acids and strong alkalis, addressing the challenge of electrode durability. It is mainly intended for the recovery of metals through electrolysis, especially targeting aqueous solutions containing metal ions. This is particularly useful for processes such as electrolytic plating and etching effluents in semiconductor manufacturing. In the future, the technology owner is also exploring the potential applications of this technology in water electrolysis electrodes and the use of conductive coatings beyond electrodes. Double the lifetime of the electrode using an inexpensive coating Can be reused by recoating the electrode Reduce the replacement frequency and maintenance cost Adaptable to existing coating (painting) facilities without modification Coatings, Electrode Catalyst, Electrolysis, Metal Recovery, electrolytic plating, recoating, reused Chemicals, Coatings & Paints, Manufacturing, Chemical Processes, Sustainability, Circular Economy

Enterprises are constantly looking for ways to improve operational efficiency and reduce costs. Traditional automation has limitations, especially when it comes to tasks requiring creativity or complex decision-making. Generative AI has emerged as a transformative technology that addresses a variety of pain-points faced by enterprises across industries. This technology solution offers a seamless integration of large language models (LLMs) and Generative AI fuctions with existing infrastructure, enhancing AI's impact by automating the flow of information and standardizing AI usage within your enterprise. This empowers customer support and operations teams to provide quick and accurate responses, significantly improving service delivery and operational efficiency.     This Generative AI technology solution is powered by a combination of technologies and methodologies to ensure a high level of customer engagement, personalization, and efficiency. Here's a breakdown of the key technology components and how they work together: 1. Natural Language Processing (NLP) and Understanding (NLU) Functionality: These AI components are the core of the chatbot's ability to understand human language. NLP breaks down and interprets the user's input (text or voice), while NLU comprehends the intent behind the input. How It Works: When a customer sends a message, NLP and NLU analyze the text to grasp the query's context and intent. This understanding allows the chatbot to generate an appropriate response. 2. Machine Learning (ML) Functionality: ML algorithms enable the chatbot to learn from interactions and improve responses over time. It analyzes patterns in data to predict and enhance future conversations. How It Works: Through continuous training on customer interactions, the chatbot becomes better at predicting user needs and personalizing responses, thereby improving engagement and satisfaction. 3. Integration APIs Functionality: APIs allow the chatbot to interact with external systems and databases, enabling it to retrieve and update information in real-time. How It Works: When a customer asks a question requiring specific data (e.g., account balance), the chatbot uses APIs to fetch the relevant information from the backend systems and deliver it to the user. 4. Sentiment Analysis Functionality: Sentiment analysis technology assesses the emotional tone behind a user's message, helping the chatbot to tailor its responses more empathetically. How It Works: By analyzing the sentiment of the user's text, the chatbot can adjust its tone and responses to better align with the user's emotional state, enhancing the engagement quality.         The technology can be applied across various domains such as customer service, HR recruitment, and internal operations efficiency. Its applications include: enhancing customer interaction through WhatsApp and omnichannel chatbots, supporting staff with AI-driven tools for operational efficiency, tailoring GPT models for industry-specific needs and customized requirements, automating email categorization, deriving insights from data analytics and customer feedback. These applications aim to streamline processes, personalize customer engagement, and optimize decision-making through data-driven insights. The unique value proposition lies in its comprehensive suite of AI-driven solutions designed to automate and enhance both customer engagement and internal operations. Their offerings range from WhatsApp messaging for improved customer interaction to omnichannel AI chatbots, specialized AI for HR and staff support, to industry-specific GPT models. They focus on personalizing customer experiences, streamlining recruitment processes, and delivering actionable insights through data analytics, positioning themselves as a versatile AI partner for businesses looking to leverage advanced technologies for operational efficiency and customer satisfaction. Infocomm, Artificial Intelligence

Issues associated with odor generation present significant challenges in various aspects of daily life, encompassing unpleasant smells from various sources such as toilets, kitchens, pets, tobacco, hospitals, and transportation. These unwanted odors have a detrimental impact on individual well-being, social interactions, and overall environmental quality. Deodorants play a crucial role in addressing these challenges, fostering a more comfortable and hygiene environment. However, conventional deodorants primarily rely on masking the unwanted odors with a strong fragrance, resulting in a slow and ineffective deodorization process, particularly against strong smells. The technology owner has developed a proprietary formulation that offers an effective deodorization approach. Unlike common deodorants, the unique deodorant using the proprietary formulation can remove the sources of unpleasant smells through chemical reactions. It demonstrates remarkable efficiency against a broad spectrum of odors, including those from rotting fish and meat, rotting eggs and milk, rotting vegetable waste, ammonia in toilets, sweat, and body odor. This innovative solution has the potential to revolutionise odor control across diverse scenarios. The technology owner is seeking R&D collaboration with industrial partners who are interested in incorporating this deodorant into their products and applications. Compared to conventional deodorants, this deodorant quickly interacts with unpleasant odor molecules and immediately envelops, degrades, and neutralizes the molecule, eliminating the unpleasant odor around it. Key features of this technology are: Universally against the four major malodors (i.e., ammonia, trimethylamine, methyl mercaptan, and hydrogen sulphide) Distinctive technique utilising zinc ions to decompose hydrogen sulfide, the source of putrefaction and fecal odor Effectively decompose human body odor and pet odor by using inorganic salts Reliable and efficient deodorization with a high deodorizing rate This innovative deodorant can be used in many situations since it is universally effective against the major odors in daily life. Potential scenarios include (but are not limited to): Transportation: public transportation or private cars. It effectively neutralises unpleasant odors during long trips, ensuring a comfortable space for passengers. Medical institutions: hospitals and clinics. It eliminates various odors occur in health care facilities, maintaining a comfortable environment for patients and staff. Hotels and accommodation: hotel rooms, shared spaces, and the entire accommodation. It provides a clean and comfortable environment, accommodating different guest preferences. Educational institutions: school and university classrooms, libraries, and common areas. It delivers safe and effective deodorizing effects for diverse population, including youth. Event Venue: indoor and outdoor events, concerts, and sporting occasions. It is particularly useful for odor control in places where many people gather. Effective deodorization against four major odors Enhance high safety in human health Low price despite its high effectiveness Customisable to meet different specifications Deodorization, Environment, Housing, Public, Odor Materials, Composites, Chemicals, Additives, Sustainability, Sustainable Living