AI Experts Question Amazon’s Facial Recognition Technology

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%.

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Baltimore Spice Company McCormick Is Using AI to Create New Flavors

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.

Automated Racecars

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.

Giving Algorithms A Sense of Uncertainty Could Make Them More Ethical

When people make ethical decisions, there is some degree of uncertainty. Algorithms, on the other hand, are programmed to achieve a singular mathematical goal, allowing little room for uncertainty. Because of this, they cannot deal with multiple, often competing, objectives and account for complex concepts such as “freedom” and “well-being”. Thus, it is nearly impossible for algorithms to make ethical decisions

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FedEx Turns to Segway Inventor to Build Delivery Robots

FedEx got the creator of the Segway, Dean Kamen, to design a six-wheeled, autonomous robot called the SameDay Bot.

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Can Robots Take Care of the Elderly?

50% of adults over the age of 85 require daily assistance for simple tasks. 90% of adults that age prefer to live at home over a nursing home. Yet, it’s difficult for them to live on their own, and for them to get assistance from other people.

With the growing cost of eldercare, the shortage in caregivers, and health challenges of the elderly, there is a need to find a more efficient way to care for the elderly population. Continue reading “Can Robots Take Care of the Elderly?”

GeoSpark Analytics: A New Paradigm In Threat Assessment

Technology has been advancing at an incredible speed for the last couple of decades, and it shows no signs of slowing down anytime soon. Modern technology now is able to “predict” certain events through numerical data and analysis. One example of this is weather forecasting. GeoSpark Analytics is a relatively young company that provides their clients a different kind of forecast: threat assessment.

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