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Widow Blames Husband's Death on Artificial Intelligence

#artificialintelligence

A distraught Belgian man who turned to a chatbot for comfort committed suicide, and his wife blames artificial intelligence. Via Vice comes a report originally published Belgium-based La Libre of a man referred to as Pierre, who killed himself after using an app called Chai--which offered what Vice termed a "bespoke AI language model" that was rooted in an open-source alternative to GPT-4 called GPT-J. Chai has around 5 million users, Vice reports, and its default persona is called "Eliza." Interestingly, a phenomenon discovered in the late 1960s may have come into play here: the "ELIZA Effect." It was pointed out by an MIT scientist who created a conversational program called ELIZA and then noticed that people would develop a relationship with the program, treating its words as expressions of real emotion rather than coding.


Top 10 MLOps Tools for Efficient Model Deployment and Management

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As organizations increasingly rely on Machine Learning (ML) to inform business decisions, the need for efficient model deployment and management is more important than ever. However, the complexity of managing and deploying ML models can be a daunting task, and that's where Machine Learning Operations (MLOps) tools come into play. In this article, we'll take a look at the top 10 MLOps tools that can help your organization efficiently deploy and manage your ML models. Saturn Cloud is an MLOps platform for AI teams that provides cloud infrastructure, notebooks, jobs, deployments, collaboration tools, reproducible pipelines and more. It has a large variety of integrations with popular MLOps tools such as Comet, Weights & Biases, Neptune and can easily integrate with new tools.


RAPIDS cuDF to Speed up Your Next Data Science Workflow - KDnuggets

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Over the years there has been exponential growth in data science applications, fueled by data collected from a wide variety of sources. In the last 10 years alone we have seen the implementation of data science, machine learning and deep learning. Although we hear a lot more about machine learning and deep learning, it is the core data science technique that a lot of companies focus on as this is where they make money and save a lot of money. However, studies show that 68% of data studies go unused and 90% of data is left unstructured. This is due to companies failing to focus on the data analytical processing phase, as it can take a lot of time, money and resources.


Computer-generated inclusivity: fashion turns to 'diverse' AI models

The Guardian

The star of Levi's new campaign looks like any other model . Her tousled hair hangs over her shouldersas she gazes into the camera with that far-off high-fashion stare. But look closer, and something starts to seem a little off. The shadow between her chin and neck looks muddled, like a bad attempt at using FaceTune's eraser effect to hide a double chin. Her French manicured fingernails appear scrubbed clean and uniform in a creepy real doll kind of way.


Italian data protection authority bans ChatGPT citing privacy violations โ€“ EURACTIV.com

#artificialintelligence

The Italian privacy watchdog mandated a ban on the popular chatbot ChatGPT and launched an investigation on its provider OpenAI for suspected breaches of EU data protection rules. Italy's Garante for the protection of personal data on Friday (31 March) accused the AI system of breaching the EU General Data Protection Regulation (GDPR) and failing to implement age verification systems. The blocking of the site for Italian users is temporary and will last until the provider OpenAI respects the EU privacy framework when processing the personal data of Italian users. The Italian data protection authority has also initiated an investigation into the American tech company. Launched in November, ChatGPT has been notorious for its unprecedented ability to generate human-like text based on prompts.


Has NASA finally found life on Mars? Perseverance collects key samples of Martian soil

Daily Mail - Science & tech

NASA's Perseverance Rover has collected a sample of Martian rock to be returned to Earth which could contain signs of life. But don't get too excited yet, as this particular tube won't reach a terrestrial laboratory where it can be studied for another 10 years or so. It has been roaming Mars to look for sampling sites that might contain ancient microbes and organics for almost a year now. In that time, it has completed its first of four search campaigns, which focused on the crater floor and the base of the Neretva Vallis delta. NASA's Perseverance Rover has collected a sample of Martian rock which could contain signs of life. NASA's Perseverance rover (pictured) chooses a sample using its suite of onboard instruments to detect whether organic molecules are present in some rock before coring.


Twelve Labs on LinkedIn: Foundation models are going multimodal

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The Twelve Labs team had a blast hosting its first Dream in Vectors fireside chat in Seoul where we invited a group of passionate panelists, ML research scientists, engineers, and students to reflect on 2022 and dream about what's to come in 2023. The sheer amount of knowledge from the group was immeasurably grand and the future of AI is so so so bright! There were many highlights and to share a few topics that we discussed: 1 Generative search with a strong grounding in factual references will disrupt search from the ground up. 2 Multimodal is the clear next step and we will see very large visual language models next year.


A four-legged robotic system for playing soccer on various terrains

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If you've ever played soccer with a robot, it's a familiar feeling. A four-legged robot is hustling toward you, dribbling with determination. Researchers from MIT's Improbable Artificial Intelligence Lab, part of the Computer Science and Artificial Intelligence Laboratory (CSAIL), have developed a legged robotic system that can dribble a soccer ball under the same conditions as humans. The bot used a mixture of onboard sensing and computing to traverse different natural terrains such as sand, gravel, mud, and snow, and adapt to their varied impact on the ball's motion. Like every committed athlete, "DribbleBot" could get up and recover the ball after falling.


Bracing for Impact: NASA's New AI Model To Defend Earth From Dangerous Space Weather

#artificialintelligence

Intense solar storms can cause electrical blackouts. Like a tornado siren for life-threatening storms in America's heartland, a new computer model that combines artificial intelligence (AI) and NASA satellite data could sound the alarm for dangerous space weather. The model uses AI to analyze spacecraft measurements of the solar wind (an unrelenting stream of material from the Sun) and predict where an impending solar storm will strike, anywhere on Earth, with 30 minutes of advance warning. This could provide just enough time to prepare for these storms and prevent severe impacts on power grids and other critical infrastructure. The solar wind is a gusty stream of material that flows from the Sun in all directions, all the time, carrying the Sun's magnetic field out into space.


New AI upgrade could be indistinguishable from humans: expert

#artificialintelligence

AI research lab OpenAI is expected to roll out GPT-5 technology later this year, which could make generative AI indistinguishable from a human, according to a tech insider and expert. "I have been told that gpt5 is scheduled to complete training this December and that OpenAI expects it to achieve AGI," tech entrepreneur and developer Siqi Chen tweeted last week. Chen is the co-founder of Runway Financial, a financial software company, the former vice president of growth at food delivery service Postmates, and a member of the board of directors at virtual reality firm Sandbox VR. AGI stands for "artificial general intelligence," which is defined when AI systems are able to comprehend a task or concept the same as humans. "Which means we will all hotly debate as to whether it actually achieves AGI," Chen added.