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Artificial Intelligence Uses Facebook Data to Predict Mental Illness
A study that used AI to detect mood disorders among Facebook users.
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Applied Technology Review | Wednesday, February 10, 2021
A study that used AI to detect mood disorders among Facebook users.
FREMONT, CA: It's easy to do bad things with Facebook data. From targeting bizarrely specific T-shirts to manipulating the electorate, the questionable goals to which the social media giant can be attributed are numerous. But there are also people who are trying to use Facebook for a good purpose - or at least to improve the diagnosis of mental illness. On December 3, a group of researchers reported that they had successfully predicted a psychiatric diagnosis based on Facebook data - using messages sent up to 18 months before the user received the official diagnosis.
The team worked with 223 volunteers, all of whom gave researchers access to their personal Facebook messages. Researchers use artificial intelligence algorithms, using attributes extracted from these messages and Facebook photos posted by each participant to predict whether they suffer from mood disorders (such as bipolar disorder or depression), schizophrenia spectrum disorder or not Mental health problems. According to their research results, foul language usually indicates mental illness, and perceptual words (such as seeing, feeling, hearing) and words related to negative emotions indicate schizophrenia. In the photo, more blue is related to mood disorders.
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To assess the success of their algorithm, the researchers used a common metric in artificial intelligence to measure the trade-off between false positives and false negatives. As the algorithm classifies more and more participants as positive (for example, with schizophrenia spectrum disorder), it will miss fewer participants who really have schizophrenia (low false negative rate), but It classifies certain healthy participants as suffering from schizophrenia (high false positive rate). A perfect algorithm cannot have false positives and false negatives at the same time; such an algorithm will earn 1 point. The random guess algorithm will get 0.5 points. According to the specific predictions they asked the algorithm to make, the research team scored between 0.65 and 0.77. Even if researchers limit themselves to information more than a year before the subject’s diagnosis, the predictions they make may be much better than the results expected by chance.
According to H. Andrew Schwartz, associate professor of computer science at Stony Brook University, who was not involved in the study, these results are comparable to those obtained by PHQ-9, the standard 10-question questionnaire used to screen for depression. . This result creates the possibility that Facebook data could be used for mental illness screening - potentially long before the patient would otherwise have received a diagnosis.
Birnbaum is far from the first researcher to use social media data to predict the presence of mental illness. Previously, researchers used Facebook status, tweets, and Reddit posts to identify diagnoses ranging from depression to attention deficit hyperactivity disorder. But he and his team created a new situation by working directly with patients with existing psychiatric diagnoses. Generally speaking, other researchers who cannot make a clinically definitive diagnosis-they have used the words of the subjects to make a diagnosis, ask them to make a self-diagnosis, or have them receive a questionnaire like PHQ-9 instead of diagnosis. In contrast, everyone in Birnbaum's study received a formal diagnosis from a psychiatrist. And because researchers have clear dates for making these diagnoses, they can try to make predictions based on the messages sent by patients before they learned about their mental illness.
Researchers have a long way to go before designing these algorithms and figuring out how to implement them ethically. However, Birnbaum hopes that social media data can become a normal part of psychiatric practice in the next five to ten years.
Quantum computing, an emerging technology, is poised to revolutionize defense, military strategies, cybersecurity, and global logistics using quantum mechanics principles.
Quantum computing is poised to remodel various aspects of defense operations, offering unprecedented opportunities and significant challenges. One of the most critical areas is cryptography and cybersecurity. While quantum computers can break traditional encryption methods, quantum cryptography—such as Quantum Key Distribution (QKD)—provides near-impenetrable security for military communications. In response to the looming threat of quantum attacks, governments and organizations are developing quantum-resistant algorithms to secure sensitive data. Leading nations, including China, have deployed QKD networks to safeguard military communication lines.
Another key application lies in logistics optimization and mission planning. Quantum computing efficiently resolves complex logistical challenges, including supply chain management, resource allocation, and real-time decision-making. Integrating AI-quantum synergy has led to significant advancements in military strategy, enhancing the precision of mission planning. Additionally, quantum-assisted simulations allow defense forces to model battlefield scenarios with unparalleled accuracy, improving operational preparedness.
Quantum technology introduces groundbreaking capabilities in surveillance and reconnaissance. Quantum sensors provide ultra-precise measurements, enhancing radar systems and submarine detection. A notable advancement is quantum radar, which has the potential to detect stealth aircraft, a capability being explored by significant defense powers. Furthermore, satellite-based quantum sensors can detect subtle gravitational and magnetic field variations, offering enhanced intelligence-gathering capabilities.
AI integration in defense is expected to reach new heights with quantum computing. Quantum-powered real-time threat analysis enables military systems to anticipate and neutralize threats autonomously. Moreover, research is advancing into autonomous weapons that leverage quantum computing for improved decision-making, particularly in drone and unmanned weapons platforms. As quantum technologies evolve, they will play a pivotal role in shaping the future of military strategy and defense infrastructure.
While integrating quantum technology into defense remains early, rapid advancements highlight its potential to redefine national security. Governments and private organizations invest heavily in quantum initiatives to ensure technological superiority in the coming decades. Continued advancements in hardware, software, and cross-disciplinary collaborations will be critical in unlocking its full potential.
Quantum computing holds the key to unprecedented advancements in defense technology. It offers capabilities that can redefine national security, from secure communications to superior intelligence gathering and beyond. However, this potential comes with its own set of challenges and responsibilities. The global defense community can harness quantum computing to build a more secure and advanced future by addressing these. ...Read more
Advanced technologies in the rail industry enable predictive maintenance, enhancing asset reliability, cost savings, early failure detection, operational efficiency, reduced downtime, and customer satisfaction.
FREMONT CA: The reliability and safety of rail assets are of the utmost importance in modern railways. Traditional maintenance strategies, which tend to be reactive and time-intensive, can result in unforeseen breakdowns, delays, and elevated costs. Conversely, predictive maintenance utilizes advanced technologies to anticipate potential failures before they arise, facilitating proactive maintenance and substantially prolonging the lifespan of rail infrastructure.
Technologies Driving Predictive Maintenance in Rail Infrastructure
Predictive maintenance in the rail industry relies on advanced technologies to enhance asset reliability, reduce costs, and improve safety. A variety of sensors play a crucial role in monitoring critical parameters. Vibration sensors detect abnormal vibrations that may indicate wear or misalignment, while temperature sensors monitor heat levels to prevent overheating. Acoustic sensors capture unusual sounds that may signal impending failures, and strain gauges measure stress in components. Additionally, corrosion sensors track corrosion rates in exposed areas, enabling timely intervention.
The Internet of Things (IoT) provides seamless connectivity between these sensors and the cloud, allowing real-time data collection and analysis. Artificial intelligence (AI), including machine learning and deep learning algorithms, analyzes sensor data, identifies patterns, and predicts potential failures. These AI models adapt over time, improving prediction accuracy by learning from historical data.
In the APAC region, predictive maintenance offers significant benefits, such as enhanced asset reliability, cost savings through optimized maintenance schedules, improved safety through early failure detection, and greater operational efficiency. Furthermore, many APAC regulatory bodies are increasingly mandating predictive maintenance to ensure the safety and reliability of rail infrastructure.
Predictive maintenance enables continuous monitoring of rail conditions, identifying issues such as cracks, corrosion, or misalignment, thereby preventing derailments and ensuring operational safety. In rolling stock maintenance, predictive techniques assess the health of crucial components like wheels, axles, and motors, helping to avoid costly breakdowns and extend the lifespan of assets. Signal systems also benefit from predictive maintenance, where early detection of failures enhances reliability and minimizes disruptions. Additionally, drones equipped with advanced sensors allow for remote infrastructure inspections, providing critical data on the condition of bridges, tunnels, and other assets for preemptive repairs.
Regarding economic impact, predictive maintenance in the APAC region significantly enhances rail system efficiency by reducing unplanned downtime and maintenance costs. This leads to improved service reliability, increased punctuality, and higher customer satisfaction. It also supports job creation in the technology and maintenance sectors.
From an environmental perspective, predictive maintenance conserves resources by reducing unplanned repairs, cutting energy consumption, and minimizing waste generation, aligning with sustainability goals.
The future of predictive maintenance in the APAC region holds significant promise. As technological advancements continue to unfold, we anticipate the emergence of increasingly sophisticated solutions that will further enhance the reliability and efficiency of rail assets. Predictive maintenance represents a transformative opportunity for the rail industry in APAC. By harnessing advanced technologies, rail operators can extend the lifespan of their assets, enhance safety, and reduce operational costs. As the region makes substantial investments in infrastructure development, predictive maintenance will be pivotal in ensuring rail systems' long-term sustainability and reliability. ...Read more
Haptics, fundamentally, is the science and technology of transmitting and recreating the sense of touch. It allows users to interact with digital systems and virtual environments not just through sight and sound, but also through physical sensations. This integration of tactile feedback has the potential to overhaul human-machine interaction, making it more intuitive, engaging, and realistic.
Types of Haptic Feedback
Haptic solutions utilize a diverse range of technologies to deliver tactile sensations, each tailored to specific applications and user experiences. One of the most prevalent forms is vibrotactile feedback, produced by miniature motors that generate vibrations ranging from simple buzzes to intricate patterns. This type of feedback is commonly integrated into smartphones for notifications and gaming controllers to enhance the immersive experience. A widely used mechanism for this purpose is the Eccentric Rotating Mass (ERM) motor, which utilizes an off-center weight to generate vibrations through centrifugal force. Another refined approach is the Linear Resonant Actuator (LRA), which uses an electromagnetically driven mass on a spring to produce more precise and rapid tactile responses than ERMs.
Force feedback systems go a step further by applying physical resistance or force to simulate properties such as weight, stiffness, or impact. This technique is often employed in applications such as steering wheels or joysticks, engaging muscles and joints for a more immersive physical interaction. Electrotactile feedback offers a different approach by using electrical impulses to stimulate the skin's nerve endings. This method can simulate a wide variety of sensations—such as textures or subtle prickling—without mechanical movement, simply by modulating the pulse parameters.
Ultrasonic tactile feedback, also known as mid-air haptics, utilizes focused ultrasonic waves to create perceptible pressure points in the air, allowing users to "feel" virtual objects without physically touching a surface. This opens up new possibilities for gesture-based and touchless interfaces. Additionally, thermal feedback introduces temperature variations to a surface, allowing users to experience sensations such as heat or cold, enhancing realism in virtual simulations. Surface haptics, particularly through electrovibration, manipulate electrostatic fields on smooth surfaces, such as touchscreens, to vary friction, thereby simulating different textures, ridges, or bumps beneath the user's fingertips.
Components of Haptic Solutions
Beyond the foundational concepts of sensors, algorithms, and actuators, several specialized hardware and software components play a critical role in developing robust haptic solutions. Key among these are actuators such as eccentric rotating mass (ERM) motors, linear resonant actuators (LRAs), and increasingly, piezoelectric actuators. Piezoelectric materials are particularly valued for their high precision, rapid response times, and capacity to produce subtle and varied tactile sensations. Control electronics, including integrated circuits and dedicated haptic drivers, are crucial for controlling actuator behavior by ensuring the accurate timing, amplitude, and frequency of feedback that is tightly synchronized with user interactions. On the software side, development tools such as software development kits (SDKs) and application programming interfaces (APIs) enable developers to integrate and customize haptic feedback within their applications seamlessly. Haptic libraries and effects design tools offer predefined tactile patterns, supporting the creation of complex and nuanced haptic experiences. Efficient power management systems are crucial, particularly in portable devices, to maintain performance and prolong battery life during intensive or continuous haptic feedback operations.
Applications of Haptic Solutions
The integration of haptic technology significantly enhances user experiences across a wide range of applications by introducing tactile feedback that adds depth, realism, and functionality to digital interactions. In consumer electronics, haptics contribute to more engaging and intuitive interfaces, from the subtle clicks of smartphone keyboards and notifications to the immersive vibrations in gaming controllers and wearables. Within the automotive industry, haptic feedback enhances safety and usability by alerting drivers to lane departures or potential collisions through steering wheel vibrations and by simulating physical buttons on touchscreens, enabling eyes-free interaction.
In the realm of extended reality (XR), which encompasses virtual, augmented, and mixed reality, haptics play a crucial role in enhancing immersion. Users can feel textures, impacts, and resistance within virtual environments, bridging the gap between digital and physical worlds. The medical and healthcare sector benefits from haptics in surgical training simulators, where realistic tactile feedback helps aspiring surgeons develop critical skills, and in remote surgery, where haptics enable a sense of touch across distances.
Training and simulation environments also leverage haptic feedback to create highly realistic experiences. Whether in flight simulators that replicate turbulence or industrial training tools that simulate the weight and resistance of machinery, haptics contribute to more effective skill development. In the domain of accessibility, haptics serve as vital communication aids, offering tactile cues for alerts, navigation, and user interface interaction, particularly valuable for individuals with visual or hearing impairments.
The evolution of haptic technology continues to be driven by the pursuit of greater realism, versatility, and seamless integration into everyday life. Increased resolution and fidelity will enable actuators to deliver finer, more localized tactile sensations, moving beyond basic vibrations to simulate complex textures, temperature variations, and forces with remarkable detail. These advancements could remodel industries such as healthcare, gaming, and manufacturing. Concurrently, miniaturization and enhanced integration will allow haptics to be embedded into a broader range of devices and surfaces, including smart textiles, flexible displays, and everyday objects, thus making tactile interaction more pervasive. Another significant direction is multi-sensory integration, where haptic feedback will be more intricately combined with visual and auditory cues to produce richer, more immersive experiences. Software-defined haptics will gain prominence, with advanced algorithms offering highly customizable and context-aware feedback tailored to individual users and interactions. The expansion of touchless haptics—particularly mid-air feedback—will unlock new opportunities for intuitive, hygienic, and engaging user interfaces in public environments, entertainment, and specialized applications.
Haptics solutions are continually evolving to bridge the gap between the digital and physical realms, transforming how humans interact with technology and paving the way for richer, more intuitive, and deeply engaging experiences across countless domains. ...Read more
Over the past decade, wearable technology has seen significant advancements, evolving from basic fitness trackers to sophisticated gadgets capable of monitoring heart rates, blood pressure, and various other physiological metrics. While initially famous for health management, the application of wearable technology has broadened, finding utility in workplaces to enhance productivity and foster stronger relationships among coworkers.
Wearable technology encompasses devices worn on the body, such as smart watches, smart eyewear, fitness trackers, embedded sensors, and tailor-made apparel. These technologies are equipped with various sensors that enable the daily monitoring of an individual's physical activities and conditions.
Key advantages of wearable technology include:
Boosted Productivity among Workers: Wearable devices can significantly enhance worker productivity by making processes more efficient and increasing engagement. These devices streamline employee communication and offer functionalities that assist in task tracking, decision-making, and skill acquisition.
Ease of Use: One of the standout features of wearable technology is its user-friendly design, mainly when used in tandem with other communication tools. Such devices, which include watches, glasses, jewelry, and headgear, can be worn effortlessly, promoting constant use.
Improved Communication and Collaboration : Wearable technology fosters better team communication and collaboration. Team members can easily connect, exchange ideas, and coordinate tasks regardless of their physical location. Features such as voice commands and instant messaging make this possible, ensuring seamless interaction and hastening decision-making processes.
Enhanced Safety Measures: Wearable technology improves safety remarkably, thanks to features like proximity sensors, GPS tracking, and emergency alarm systems. In situations of danger or potential threats, employees can receive immediate alerts, allowing quick action. This aspect of wearable technology is especially beneficial in industries where safety is a primary concern, such as manufacturing, healthcare, and construction.
Despite the numerous advantages, wearable technology has its downsides, particularly regarding potential distractions. Devices like smartwatches might disrupt work by prompting users to check social media, emails, or text messages during work hours. Such distractions interfere with tasks and increase employee stress and anxiety.
While wearable technology offers many benefits in enhancing productivity, communication, and safety in the workplace, it is also accompanied by challenges that must be addressed. The focus should be on leveraging these devices' positive aspects while implementing measures to minimize their potential for causing distractions and stress. ...Read more