The fundamentals of human-computer interaction includes a mix of psychology, web design, computer science, information systems, marketing, entertainment, and business. Interaction design is the design of interactive products to support people in their everyday and working lives. This entails creating user experiences that enhance and extend the way people work, communicate, and interact. Moreover, much of interaction design needs consideration of cognitive, social and affective issues, and that designers need to learn to weigh the pros and cons and be prepared to make trade-offs.
Science, technology, engineering, and mathematics (STEM) are essential to the economy and to sustainable long-term economic growth. The demand for stem workers in the United States across industries is expected to grow faster than other occupations in the next decade.
A group of research personnel from MIT noticed that spider silk can undergo a process called super contraction. Super contraction provides a very strong torsional force. Soon after the groundbreaking discovery, researchers worked on figuring out how to synthetically create the material for artificial limbs. Spider silk is already known for being lightweight, strong and flexible. This material would greatly increase the range of motion in synthetic limbs.
Many AI researchers for major tech firms such as Google, Microsoft and Facebook have signed a letter to stop Amazon from giving away its facial recognition to law enforcement agencies mainly because that technology is biased towards people of color and women. A peer review study conducted by researchers at MIT revealed that Amazon’s facial recognition technology, known as Rekognition, has problems identifying females and dark skinned women. It mistakes women for men 19% of the time, and for women of color 31%.
McCormick, the largest spice company in the world, recently started using artificial intelligence to help create new flavors. McCormick collaborated with IBM Research in order to generate an AI system that’s knowledgeable on years’ worth of data on a variety of spices. This AI system is aware of past sales, ingredients, and formulas for seasonings. As a result, it can give formulas to produce original flavors. McCormick’s product development can still come with a baseline formula and a set of rules for what ingredients should be included. McCormick’s chief science officer explained that this new advancement in the company will reduce product development time by two-thirds. The company’s developers, however, still have the job of refining the flavor combinations produced by the AI machine. Also, the flavors still need to be tested by consumers so that the developers can adjust the settings of the AI machine. This new development is not perfect, yet it definitely shows a promising future for the food industry.
Researchers from Stanford University tested two autonomous cars on the Thunderhill Raceway. The goal of the research is to develop a fast and safe racecar without a driver. A simple feedforward-feedback control structure is used for path tracking. In this structure, the car determines the steering angle and the current path curvature. The positioning was determined by the navigation aided by differential global navigation satellite system signals to obtain precise positioning. Additionally, neural networks are created for the autonomous cars to learn how to drive in different conditions with more precision and safety. Some factors such as weight transfer and tire relaxation are taken into account.
In December 2018, the Bridgeport Police Department officially launched the ShotSpotter – a system that detects gunfire and gives police officers instant access to shooting location maps, as well as information on how many shooters are present and how many shots were fired. The automated system uses computerized sensors placed on buildings and lamp posts throughout the city to detect gunfire. With this technology, police can better predict where shooting may occur, and, consequently, help officers respond more quickly to violence. The system is not a replacement for residents calling in shots fired. Moreover, the data collected can even help neighborhoods combat gun violence through promoting health programs in areas where gun violence usually happens. Despite how ShotSpotter does not have biometric scanning features like other police technologies, it does raise privacy concerns. Some people believe that the system will pick up and record conversations, while others believe it will eventually have more features added (including the ability to record conversations).