KRover: A Symbolic Execution Engine for Dynamic Kernel Analysis
Operating system (OS) kernels are critical components of modern computing systems, managing hardware resources and providing essential services to applications. However, due to their complexity, kernels are often vulnerable to various security issues like bugs, vulnerabilities, and malicious attacks. The kernel’s reliability and security are of utmost importance, as any breach could compromise the entire system.
AI-Powered Crowd Management System for Optimised Flow and Enhanced User Experience
Managing crowds and optimising the flow of people in capacity-constrained environments, such as theme parks, shopping malls, convention centers, and sports arenas, can be challenging. Crowds lead to congestion, long queues, and poor user experiences if not managed effectively. Traditional crowd control systems often lack the flexibility to respond to real-time changes, making it difficult for operators to optimise the use of space and resources.
Automate Training & Assessment with the Power of AI
With the advent of AI, skill gaps are widening globally and need for continuous re-skilling of human resources is one of the top priorities. In many corporations, employees need to be re-trained and re-assessed, often without access to curated content. Typically, they rely on raw resources or documentations dispersed across different data sources and formats to acquire the knowledge to perform a job effectively. This learning process is sluggish and slow and exasperates the employees if the content is being updated constantly, e.g., specifications for new products or machines, features and service support for new offerings or subscriptions and so on.
Tackling Malware Threats on Android Environment
The prevalence of sophisticated malware threats has risen significantly, posing serious risks to computer systems by inflicting substantial damage, compromising sensitive data, and resulting in financial losses. Recent incidents, such as hackers targeting Android users with a trojanised version of the Telegram app , and Google suspending an e-commerce app Pinduoduo over malware concerns, highlight the urgency for robust mobile security solutions. It is noteworthy that Android devices, constituting approximately 70% of the global market share , are particularly vulnerable, emphasizing the critical importance of effective security measures in this widely utilised environment.
AI-Based Dynamic Route Optimization And Driver Job Recommendation Tool
Same-day logistics players are crucial for the growth of eCommerce, particularly in urban areas. With eCommerce platforms facilitating continuous sales from multiple vendors, the logistics challenge has intensified. Logistics operators must pick up items from various decentralized locations and deliver them, handle dynamically generated delivery orders, and optimize order delivery for a win-win scenario among stakeholders (customers, eCommerce platform providers, vendors, logistics providers, and riders). In this industry, route optimization and rider dispatch is essential to increase earning potential for riders and reduce carbon footprint.
Web-Scale Discovery and Integration of Comparative Product Offers
Online shopping offers consumers a wide range of products from various e-commerce platforms. To compare prices, users need to search multiple sites, collect and organize data, and identify identical products. This manual process is tedious and time-consuming.
Collaborative Urban Delivery Optimisation (CUDO)
Consumer trends have had a significant impact on urban logistics. One key trend is the rise of e-commerce and online shopping, which has led to an exponential increase in package deliveries to urban areas. This surge in demand has put pressure on logistics service providers (LSPs) to develop more efficient and responsive last-mile delivery solutions.
Foodbot: Empowering Healthy Eating through Goal-oriented Chatbot Intervention
With increasing attention on healthy eating habits, there is still a lack of tools to motivate, personalise and provide timely support to those who need it in the general population. Personalized guidance considers preferences and dietary restrictions for long-term adherence as well as helping to prevent diet-related diseases. With more personalized and timely support, it can motivate individuals to sustain healthy eating habits.
skillER: Effortless Skill Mention Extraction from Job Ads
Identifying skills mentioned in a job advertisement is crucial for both job seekers and employers. For agencies, public or private, that are tasked to provide job matching services, it optimizes recruitment practices and ensures a good fit between candidates and job requirements.
Facial Weight Progression and Regression with Deep Learning
With the rise of digital platforms and online content consumption, there is a growing demand for tools that facilitate the customisation of engaging digital content. Traditional approaches may require significant amounts of labeled image data and may not generate realistic or high-quality transformations. This introduces an opportunity to introduce a framework that overcomes these limitations and provides a solution for seamless and realistic facial weight adjustments with deep learning.