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CES 2022: How radar and computer vision can help smart cities

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When it comes to smart cities, ensuring privacy is something that needs to be of critical importance. When designing its radar and computer vision-based internet of things (IoT) artificial intelligence platform, connected spaces startup Ulisse kept this in mind. The company has unveiled at this week's CES 2022 a new analytics system designed for retailers, businesses and smart cities to turn spaces intelligent without privacy restrictions. "When you are measuring people's behaviors within physical spaces it's all about the data integrity and privacy," said Luca Nestola, CEO at Ulisse. "Our differentiator is getting the best of both by the unique use of radar technology.


Humans are so social that we try to fit in with robots

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Humans, like most social animals, mirror each other's mannerisms and facial expressions through an act psychologists call mimicry. More often than not, mimicry helps humans feel more positive about the person they're with. "When humans are interacting, they adopt the other's rhythms in terms of breathing, speaking, and moving--and it's unconscious," says Ghiles Mostafaoui, a researcher from the Université de Cergy-Pontoise in France. It is, he says, "kind of the social glue." In some cases, mimicry can facilitate bonding across species, like between humans and monkeys.


Artificial Intelligence at PayPal - Two Unique Use-Cases

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The company that would become PayPal Holdings first entered the electronic payments space in 1999, a year after being founded as Confinity. Confinity merged with Elon Musk's x.com in 2000 and was renamed PayPal the following year. The company went public in 2002 shortly before its acquisition by eBay, through which it became "the site's official payments provider." Today, PayPal processes more than 35,000 transactions every minute. In the last year, PayPal has processed some $1.2 trillion in total payment volume (TPV). On its website, the company claims to have grown to 416 million active consumer and merchant accounts and employs 27,700 employees.


Understanding No-Code AI And Top No-Code Machine Learning (ML) Tools For Some DIY ML Projects

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AI applications have made their way into almost every sector, yet; businesses fail to adopt them. According to Forbes, 83 percent of companies think AI is a strategic priority for them, yet there is a shortage of skilled data scientists. This is not only because AI solutions and expertise are expensive but also because firms lack the infrastructure to support these solutions. Companies are increasingly deploying AI and machine learning models using no-code AI, a no-code development platform with a visual, code-free, and typically drag-and-drop interface. Non-technical people may quickly classify, evaluate, and develop accurate models to make predictions with no coding AI.


AI2 shows off an open, Q&A-focused rival to GPT3 – TechCrunch

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OpenAI's impressive AI language model GPT-3 has plenty of things going it, but with 175 billion parameters no one would claim it's particularly streamlined. The Allen Institute for AI (AI2) has demonstrated a model that performs as well or better than GPT-3 on answering questions, but is a tenth the size. Macaw, AI2's model, emerged from research being done at the nonprofit into creating an AI that performs at human levels on standardized tests. "After we got a very high score they moved on to harder questions," said AI2 head Oren Etzioni. "There's this paradox where sometimes the questions that are easiest for people are the hardest for machines -- and the biggest gap was in common sense."


Smoking in the age of Artificial Intelligence

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Think about a cigarette that knows its owner, refuses to be smoked in public, and alarms the parents if it identifies that their children are smoking. How about cigarettes that identify the health of a person, his behaviour and alarm them to not smoke when it is dangerous. This is the power of AI in smoking. Let us explore some of the possibilities that might become realities in the future of smoking. As of the year 2019, there were more than 1 billion smokers in the world and I am sure the number would have increased today.


The Future of Indian Policing with Artificial Intelligence in 2022 and Beyond

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AI can be a powerful tool for law enforcement and help in addressing many types of crimes. It can help law enforcement to optimize their resources in specific areas and at specific times, to cover as much ground as possible with the same or even fewer resources. Drones with sensors, for instance, can also be used to detect illegal movements such as illegal border crossings, human traffickers, and vessels illegally fishing. Location is a powerful piece of information for AI systems. In India too, artificial intelligence tools are increasingly being put to use.


Google's new senior VP will explore technology's impact on society

Engadget

Big Tech has long faced accusations that it's a detriment to society, and Google thinks it can address those criticisms more directly. Axios' Ina Fried says the internet pioneer has hired James Manyika as the company's first Senior VP of Technology and Society. As Google told Engadget, the McKinsey Global Institute director will help explore tech's impact on society and shape the firm's points of view on subjects including AI, the future of work, sustainability and other areas that could make a significant difference. Manyika will report directly to Alphabet and Google chief Sundar Pichai, and will work with outsiders as well as internal staff. He'll help build leadership on technological impact at the company, Google said, and will focus on top-level, longer-term initiatives.


Tech leaders fear the outcomes of biased AI: report

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Companies working with AI fear losing money or staff over AI bias, but there's additional risk in being outpaced by competition if projects fail due to AI bias. To jump ahead of algorithmic bias, over half of companies with mature AI implementations check the fairness, bias and ethics of their AI platforms, according to the O'Reilly 2021 AI Adoption in the Enterprise report. One approach yielding results for organizations is the development of in-house centers of excellence, said Marshall Choy, SVP, product at SambaNova. These institutions can address the technical aspects of AI as well as "the business and organizational implications of governance, dealing with topics like bias and ethics of AI." Despite ethical challenges, AI remains a top enterprise technology priority.


The Future Of AI Process Automation In Marketing

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In the past several years, marketers have embraced artificial intelligence technologies to automate a broad range of high-volume, data-intensive tasks from ad targeting to image manipulation. The next phase of AI in marketing has the potential to deliver a much larger impact as the focus shifts from the automation of single tasks to more complex business processes and workflows, and ultimately influencing marketing strategy. Task automation using AI will continue to add value to marketers, but their benefits will be dwarfed by the intelligent automation of complex workflows. To understand the enormous difference between task automation and process automation, consider the evolution of automotive interfaces. In the early 2000s, we started to see basic voice automation in cars.