By Rajiv Saxena Police in Detroit, while investigating, were trying to figure out who stole five watches from a Shinola retail store. Authorities mentioned that the thief took off with an estimated $3,800 worth of merchandise. Investigators pulled a security video that had recorded the incident from cameras installed in the store and neighbourhood, which is very common in the US. Detectives zoomed in on the grainy footage and ran the person who appeared to be primary through'facial recognition software'. A hit came back: Robert Julian - Borchak Williams, 42, of Farmington Hills, Michigan, about 25 miles northwest of Detroit. In January, police pulled up to Williams' home and arrested him while he stood on his front lawn in front of his wife and two daughters, ages 2 and 5, who cried as they watched their father being taken away in the patrol car.
Smart Cities Mission, an initiative launched in 2015, aims at creating the next generation cities in India. These cities would not just have an easy-to-access infrastructure but also be technologically advanced in government-citizen interaction. Technologies like Artificial Intelligence, Internet of Things, Radio-frequency identification (RFID), cloud computing, and many more would be used by the government to offer'smarter' solutions. It would ease the resource-deficit burden of the country by empowering the government to do much more with less. And when cities are becoming smarter, the traditional methods of governing would not suffice.
From startups to enterprises racing to get new products launched, AI and machine learning (ML) are making solid contributions to accelerating new product development. There are 15,400 job positions for DevOps and product development engineers with AI and machine learning today on Indeed, LinkedIn and Monster combined. Capgemini predicts the size of the connected products market will range between $519B to $685B this year with AI and ML-enabled services revenue models becoming commonplace. Rapid advances in AI-based apps, products and services will also force the consolidation of the IoT platform market. The IoT platform providers concentrating on business challenges in vertical markets stand the best chance of surviving the coming IoT platform shakeout.
Artificial intelligence (AI) presents an opportunity to transform how we allocate credit and risk, and to create fairer, more inclusive systems. AI's ability to avoid the traditional credit reporting and scoring system that helps perpetuate existing bias makes it a rare, if not unique, opportunity to alter the status quo. However, AI can easily go in the other direction to exacerbate existing bias, creating cycles that reinforce biased credit allocation while making discrimination in lending even harder to find. Will we unlock the positive, worsen the negative, or maintain the status quo by embracing new technology? This paper proposes a framework to evaluate the impact of AI in consumer lending. The goal is to incorporate new data and harness AI to expand credit to consumers who need it on better terms than are currently provided. It builds on our existing system's dual goals of pricing financial services based on the true risk the individual consumer poses while aiming to prevent discrimination (e.g., race, gender, DNA, marital status, etc.).
In 2018, Congress established the National Security Commission on Artificial Intelligence (NSCAI)--a temporary, independent body tasked with reviewing the national security implications of artificial intelligence (AI). But two years later, the commission's activities remain little known to the public. Critics have charged that the commission has conducted activities of interest to the public outside of the public eye, only acknowledging that meetings occurred after the fact and offering few details on evolving commission decision-making. As one commentator remarked, "Companies or members of the public interested in learning how the Commission is studying AI are left only with the knowledge that appointed people met to discuss these very topics, did so, and are not yet releasing any information about their recommendations." That perceived lack of transparency may soon change.
A false facial recognition match has led to the arrest of another innocent person. According to the Detroit Free Press, police in the city arrested a man for allegedly reaching into a person's car, taking their phone and throwing it, breaking the case and damaging the screen in the process. Facial recognition flagged Michael Oliver as a possible suspect, and the victim identified him in a photo lineup as the person who damaged their phone. Oliver was charged with a felony count of larceny over the May 2019 incident. He said he didn't commit the crime and the evidence supported his claim.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. What if a U.S. drone was closely tracking an armed enemy vehicle as it transits rough terrain, enters urban areas and comes closer to vulnerable target areas when, all of a sudden, the target leaves a sensor's field of view, becoming seemingly un-trackable? Not so fast, according to emerging AI-enabled tracking technology now being developed by CACI, a technology firm supporting the U.S. military. Fast-maturing algorithms are now able to analyze a host of variables at one time, at lightning speed, to discern a target's trajectory and continue tracking an object even after it has left a sensor's field of view.
Earlier this week, the President's Council of Advisors on Science and Technology (PCAST) released a report outlining what it believes must happen for the U.S. to advance "industries of the future." Several of the committee's suggestions touched on the field of AI as it relates to federal, state, and private-sector partnerships, as well as departmental budgetary considerations. In particular, the report recommends that the U.S. grow nondefense federal investments in AI by 10 times over the next 10 years and for the federal government to create national AI "testbeds," expanding the National Science Foundation's (NSF) AI Institutes with at least one AI Institute in each state and creating a "National AI Consortia" to share capabilities, data, and resources. Loosely, PCAST -- which lives in the Office of Science and Technology -- provides advice to the president on science and technology policy. In the report, the committee argues the U.S. will need to boost AI R&D investments from $1 billion a year in 2020 to $10 billion a year by 2030 in order to remain competitive.
As NASA gears up to send humans to the moon and Mars it is also working on new advances to protect the space terrains from human germs. The American space agency released updates to its Planetary Protection Policies that provide new requirements for both astronaut and robotic missions. The added policies note that no biological matter is left on or around the moon, along with humans are to not contaminate any part of Mars with biological materials or return to Earth with germs from the Red Planet. The first woman and next man are set to head to the moon in 2024 and the first crewed mission to Mars is planned for the 2030s – and as early as 2035. The added policies note that no biological matter is left on or around the moon.
The high-profile case of a Black man wrongly arrested earlier this year wasn't the first misidentification linked to controversial facial recognition technology used by Detroit police, the Free Press has learned. Last year, a 25-year-old Detroit man was wrongly accused of a felony for supposedly reaching into a teacher's vehicle, grabbing a cell phone and throwing it, cracking the screen and breaking the case. Detroit police used facial recognition technology in that investigation, too. It identified Michael Oliver as an investigative lead. After that hit, the teacher who had his phone snatched from his hands identified Oliver in a photo lineup as the person responsible.