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Mistral Adds a New API That Turns Any PDF Document Into an AI-Ready Markdown File

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Mistral has launched a new multimodal OCR API that converts complex PDF documents into AI-friendly Markdown files. The API is designed for efficiency, handles visual elements like illustrations, supports complex formatting such as mathematical expressions, and reportedly outperforms similar offerings from major competitors. TechCrunch reports: Unlike most OCR APIs, Mistral OCR is a multimodal API, meaning that it can detect when there are illustrations and photos intertwined with blocks of text. The OCR API creates bounding boxes around these graphical elements and includes them in the output. Mistral OCR also doesn’t just output a big wall of text; the output is formatted in Markdown, a formatting syntax that developers use to add links, headers, and other formatting elements to a plain text file.

Mistral OCR is available on Mistral’s own API platform or through its cloud partners (AWS, Azure, Google Cloud Vertex, etc.). And for companies working with classified or sensitive data, Mistral offers on-premise deployment. According to the Paris-based AI company, Mistral OCR performs better than APIs from Google, Microsoft, and OpenAI. The company has tested its OCR model with complex documents that include mathematical expressions (LaTeX formatting), advanced layouts, or tables. It is also supposed to perform better with non-English documents. […]

Mistral is also using Mistral OCR for its own AI assistant Le Chat. When a user uploads a PDF file, the company uses Mistral OCR in the background to understand what’s in the document before processing the text. Companies and developers will most likely use Mistral OCR with a RAG (aka Retrieval-Augmented Generation) system to use multimodal documents as input in an LLM. And there are many potential use cases. For instance, we could envisage law firms using it to help them swiftly plough through huge volumes of documents. “Over the years, organizations have accumulated numerous documents, often in PDF or slide formats, which are inaccessible to LLMs, particularly RAG systems. With Mistral OCR, our customers can now convert rich and complex documents into readable content in all languages,” said Mistral co-founder and chief science officer Guillaume Lample.

“This is a crucial step toward the widespread adoption of AI assistants in companies that need to simplify access to their vast internal documentation,” he added.

Read more of this story at Slashdot.

The best air purifier for 2025

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We’ve tested over a dozen air purifiers that range from $150 to $1,200 — but the most effective method for getting the green light from our air quality monitors is completely free: opening the windows. Of course, seasonal allergies, frightful weather and wildfires mean letting the outside air in is not always possible. That makes air purifiers your second best option. With fans and multi-layered filters, these simple machines can clear up odors, cooking emissions, dust particles, smoke, pet dander and more. We performed simple at-home tests to compare different models and compared the features and design of well-reviewed models to help you find the best air purifier for your home.

The IQAir HealthPro Plus SE is a formidable piece of equipment. The boxy tower looks like something you’d see in a hospital and weighs 35 pounds, making me appreciate the included wheels when I needed to move it around. It’s designed and made in Sweden and each unit comes with an impressive certificate of performance. I’m certain the testing processes IQAir employs are more scientific than my tests — after all, the company is probably best known for its air quality monitors — but I found the filtration efficiency to be on par with and, in one test, worse than that of other models I tested.

I was also disappointed that a $1,000-plus air purifier from an air monitor device company was only capable of measuring particulate matter — and not VOCs — to trigger the auto-clean function. That said, setup was simple and the app can integrate data from public air quality sources as well as other AQ monitors you may have set up.

Coway’s Airmega Icon S was our previous pick for best design. It looks more like a tiny mid-century-modern credenza than an air purifier and the little shelf up top doubles as a wireless phone charger. The PM2.5 sensor reliably kicked in the auto mode as I used it and the three-speed fan is quiet, even on high, yet powerful. I had a little trouble getting the app to connect, but the onboard touch controls worked better anyway. It’s expensive at $699, too, but it does have a washable pre-filter.

At $229, and nearly always on sale for $130, I had the Sensibo Pure pegged as a contender for a budget pick. Unfortunately, replacement filters are $99 unless you subscribe to automatic shipments and many of the app features are behind a paywall as well. It’s not certified by CARB and underperformed many of the other units in the burn test, though it did return the air back to a “good” rating according to the air monitors after 30 minutes. The design is inoffensive, it’s not overly loud and it does integrate with Sensibo’s smart AC devices, so if you’re already happy with one of those, this may be a decent option.

Like all Dyson products, this air purifier is dripping with design. It looks like no other unit on the market and it’s up to you to decide whether you like that or not. I was indifferent to the looks, but appreciated the slick and informative app, which not only displays indoor air quality, it also shows what conditions are like outside, using a clever house graphic to differentiate the two sets of numbers. I also like that it detects VOCs as well as particulates and the auto mode seemed to read the room accurately. The air coming out of the fan did indeed feel cool, though at first had a strong plastic odor. Unfortunately, it was the lowest performing unit during two separate burn tests and had repeated connectivity issues.

The Molekule Air Pro comes from a brand that pays keen attention to aesthetics. It and the app have that Instagrammable, muted-modern look that countless clothing and bedsheet brands emulate these days. That style doesn’t come cheap as the Air Pro costs over $1,000 and requires $140 filters. The company came under fire for and had to stop making many of its claims about its filtration system, which may have led to it filing for bankruptcy in 2023. Molekule is still able to tout its patented photoelectrochemical oxidation, which the company says destroys pollutants at a “molecular level.” In my tests, it performed almost as well as the others in improving VOC and PM2.5 levels. But it’s also very loud: When auto mode kicked the fan into high gear, it would make me tense. Also, I found the unit often indicated “bad” or “very bad” levels when my two monitors indicated the air quality was actually pretty good.

There are three key categories of air pollution that adversely affect the quality of the air you breathe: volatile organic compounds (VOC), particulate matter (PM2.5 and PM10) and carbon dioxide. VOCs are emitted gasses that can come from cleaners, off-gassing plastics, paint, solvents, fragrances, cooking food and, ironically, air fresheners. VOCs are most closely related to odors you can smell. High levels can irritate your breathing passages, cause headaches and may become cancer-causing over time. Air purifiers with activated charcoal components can help clean VOCs from the air.

Particulate matter is usually discussed as PM2.5 and PM10, with the numbers indicating particle size in microns. This is dust, dirt, mold, smoke and, again, emissions from cooking food. Higher levels of PM can lead to respiratory irritation, allergy symptoms, respiratory infections and potentially lung cancer. Air purifiers that include a HEPA or particle filter can help remove airborne particles from your space.

Carbon dioxide is what humans and pets breathe out. Elevated levels can cause dizziness and lethargy. But no air purifier can reduce CO2 levels because the molecules are so small. Plants can help to some extent, but really the only solution is opening a window or otherwise ventilating the space.

There are no federal standards for air purifiers, but the state of California does require all air cleaners sold in the state to be certified by the California Air Resources Board (CARB). All of our top picks here have met that certification.

An air purifier isn’t an overly complicated device. Smart modes and app connectivity aside, they’re not much more than a filter and a fan. The latter pulls air through the former to capture particulate matter and other unhealthy elements so you don’t breathe them in. The type of fan can make some difference — it should be powerful enough to pull in air quickly, but also quiet enough on its low speed so it can unobtrusively clean all day long.

Filters, on the other hand, are more varied. Most have two or more layers, typically a pre-filter, an activated carbon component and sometimes a particle or even a true HEPA filter. The pre-filter is made from a fine mesh that captures big stuff like pet hair and larger chunks of dust. Sometimes this part is separate from the more technical filters — which means you can remove and clean it without needing to swap out the whole thing. For all-in-one filters, you can vacuum the outside of it to remove larger particles.

An activated carbon or activated charcoal layer is extremely porous, tightly packed coal that presents a vast amount of microscopic surface area to the passing air. Gaseous chemicals, VOCs and other molecules become lodged in the crannys and stick. This is the layer that gets rid of odors.

Nearly all types of air purifiers include a particle filter. Some of those can be called “true HEPA” (high-efficiency particulate air) filters — meaning they conform to the standards set out by the DOE. Particle filters are made up of pleated masses of ultrafine fibers that force air to take a convoluted path in order to pass through. This traps and absorbs tiny molecules of smoke and dust, allergens like dander and pollen, and some viruses and bacteria.

Since all of these air filters physically trap particulates, they’ll eventually fill up and become less effective. Most manufacturers recommend replacing the filter every six months, while others claim a year-long life span. Most smart air purifiers will let you know in the app when it’s time to replace. When you’re considering a unit’s cost, be sure to factor in the expense of replacement filters, which you may end up buying twice a year.

Air purifiers list their cleaning capabilities in terms of room size and frequency of air exchanges, sometimes listed as clean air delivery rate (CADR). For example, a smaller one might say it can exchange the air in a 500-square-foot room twice per hour. So that model should be able to pass all of the air in a 250-square-foot room through the filter every 15 minutes, but a 1,000-square-foot room would probably be outside its effective range. Of course, there’s no standard for manufacturers to adhere to when it comes to these calculations, but typically, larger air purifiers can handle large rooms.

Where you put the machine makes a difference, too. Since it requires airflow to effectively clean air, somewhere close to the middle of the room and at least a foot away from furniture, walls and other potential blockages is ideal. That’s not always practical, so aim for getting it as close as you can to the center of your space while maintaining a one-foot clearance all around.

In our testing, we focused on Wi-Fi-connected “smart” air purifiers with companion apps that can monitor air quality and adjust the fan settings as needed. Within the apps, you can control auto-clean settings, set timers and schedules and check the health of the filter as well. Most will remind you when it’s time to get a replacement, and let you order one directly from the manufacturer through the app. You can also see the current and historical readings from the internal air quality (AQ) sensor. Most determine air quality through an optical particle meter, though some brands like Dyson and Molekule also include chemical sensors for VOC measurements. When levels of particulates become elevated, the fans switch up to high speed to move more air through until the quality improves.

Most smart purifiers also work with voice assistants, so if asking Alexa to turn on your air purifier makes your life easier in some way, you can do so. If you don’t want to talk to an AI or grab your phone to control your purifier, getting a unit with simple on-board controls is a good idea. These can be as basic as buttons with indicator lights or as elaborate as a touchscreen panel. At minimum, it’s good to have a way to control the fan speed and turn on or off auto mode on the device itself.

As we mentioned, sticking the device as close to the middle of the room is helpful for getting the best performance. That means you’ll be looking at it a lot, so design considerations matter. Most purifiers are cylindrical towers with fan vents up top. Units meant for larger rooms are not small, weighing between 12 and 20 pounds and reaching two feet tall (or in the case of the Dyson Purifier Cool, three and a half feet). Some, like Coway’s Airmega IconS, take on more furniture-like designs to blend in. Others, like Dyson’s, are conspicuously designed to stand out.

The most striking bit of knowledge I picked up from testing air purifiers is how effective opening windows can be on indoor air quality. What took an air purifier a half hour to clear out took mere minutes when I opened my front door and a few windows. Every variable measured by the air quality sensors, including VOCs, PM, and particularly CO2 levels (which air purifiers can’t alleviate), improved dramatically after exposure to fresh air — significantly faster and better than any machine we tested. Even on very cold or very hot days, it might be worth it, even if your doors and windows are only open for a few minutes. True, my HVAC system had to work a little overtime afterwards, but venting a room was the most surefire way of getting air quality quickly back in the green. Of course, if the air outside is unhealthy from wildfire smoke or run-of-the-mill pollution, or if you’re dealing with seasonal allergies, throwing open the windows won’t work and an air purifier might be the best way to consistently clean things up.

My living room is not a science lab; there’s far too much pet hair for that to be the case. Still, I went beyond just turning stuff on and sniffing the air by acquiring two consumer-grade indoor air quality monitors that performed well in laboratory assessments, the Element from Element from Awair and the uHoo Smart Air Monitor. I conducted burn tests in this medium-sized room by measuring the ambient air quality, then burned a brick of piñon incense for twenty minutes and measured the air again. Then I ran one purifier at its highest speed for thirty minutes and recorded levels, then ran the unit on the lowest setting for a half hour and remeasured. I made note of the sound levels using a simple iPhone app to compare one machine’s noise level to the next.

Over the course of a month, I used each unit in different scenarios (such as in the basements where the cat litter boxes are) and tried out each device’s smart features, controls and auto modes. I also just lived with them and evaluated how they fit into everyday life. As new purifiers came on the market we continued to acquire units that seemed worthy of inclusion. Most recently, we tested purifiers from Blueair, IQAir, Windmill and others, adding our findings to this guide.

This article originally appeared on Engadget at https://www.engadget.com/home/smart-home/best-air-purifier-120040002.html?src=rss

SpaceX’s Latest Starship Test Flight Ends With Another Explosion

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SpaceX’s eighth Starship test flight ended in failure after losing control and breaking apart shortly after launch, sending debris over Florida. “Starship didn’t make it quite as high or as far” as the attempt nearly two months ago,” notes NPR. That attempt ended with an explosion that sent flaming debris raining down on the Turks and Caicos. From the report: This time, wreckage from the latest explosion was seen streaming from the skies over Florida. It was not immediately known whether the spacecraft’s self-destruct system had kicked in to blow it up. The 403-foot rocket blasted off from Texas. SpaceX caught the first-stage booster back at the pad with giant mechanical arms, but engines on the spacecraft on top started shutting down as it streaked eastward for what was supposed to be a controlled entry over the Indian Ocean, half a world away. Contact was lost as the spacecraft went into an out-of-control spin.

Starship reached nearly 90 miles in altitude before trouble struck and before four mock satellites could be deployed. It was not immediately clear where it came down, but images of flaming debris were captured from Florida, including near Cape Canaveral, and posted online. The space-skimming flight was supposed to last an hour. “Unfortunately this happened last time too, so we have some practice at this now,” SpaceX flight commentator Dan Huot said from the launch site. SpaceX later confirmed that the spacecraft experienced “a rapid unscheduled disassembly” during the ascent engine firing. “Our team immediately began coordination with safety officials to implement pre-planned contingency responses,” the company said in a statement posted online. You can watch a recorded livestream of the launch on X.

Read more of this story at Slashdot.

Refonte Learning: Is Data Analytics a Lucrative Industry?

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Refonte Learning supports individuals keen on pursuing a career in the digital realm, helping them to build knowledge and gain the practical skills necessary to succeed in the digital world. Refonte Learning’s flexible learning options focus on real-world application through internships and projects, enabling students to tailor their education to their specific career aspirations while simultaneously providing them with valuable international exposure. This article will focus on careers in data analytics, a field that has emerged as a cornerstone of modern business strategy, paving the way for smarter decision-making and driving innovation across industries. 

Demand for data analysts and related professionals has skyrocketed in recent years. For those with aspirations of entering the industry or advancing in this dynamic field, understanding potential earning power and salary trends is essential. 

With surging demand for data-driven professionals across various industries today, scope exists for workers to command impressive salaries. From entry-level data analysts to senior-level data architects and machine learning engineers, significant potential currently exists across a wide range of high-impact roles. 

According to LinkedIn’s Salary Snapshot 2024: Data Analytics & Emerging Tech Roles report, an entry-level data analyst can expect to start their career earning anywhere between $70,000 to $90,000, rising to $120,000 to $145,000 at a senior level. For data scientists, the earning potential is even greater, starting at $90,000 to $110,000, rising to $150,000 to $185,000 at senior level. The position of data architect currently ranks at the highest paid role, on average, with entry-level data architects earning $110,000 to $130,000, with the potential to earn up to $200,000 annually at a senior level. 

Data analytics is an increasingly important part of the business world for several key reasons. While a successful business may rely on human intuition, data analytics is an indispensable component of success, enabling leadership to make informed decisions that benefit their company by examining non-biased raw data. A process that involves cleaning, interpreting and converting data into actionable insights, data analytics involves detecting patterns, relationships and gaps, joining the dots between everything from customer browsing activities to gauging the success of marketing campaigns. 

Data analysts work hand in glove with business analysts, collaborating to create actionable insights to improve operational performance and commercial success. Data analytics takes speculation out of business decisions, providing actionable insights that enable business leaders to pinpoint and mitigate risk, predict future outcomes and identify untapped opportunities. In terms of customer understanding and personalization, data analytics is an incredibly powerful tool, enabling companies to cultivate stronger relationships with their customers by improving products and enhancing customer experiences. 

In terms of budgeting and tracking financial performance, data analytics is a particularly powerful tool, providing an evidence-based, holistic view of company performance and flagging up any potential areas for improvement. Costs, revenues, payroll and net income can all be analyzed to craft a sustainable budget with the ultimate objective of maximizing profits. In addition to enabling businesses to forecast opportunities and trends and position themselves for sustained growth and success, data analytics also plays a crucial role in security and fraud detection. Businesses are increasingly leveraging fraud data analytics to minimize vulnerabilities, anticipate risks, detect suspicious activity, and safeguard themselves and their customers against bad actors. 

Thanks to emerging, innovative technologies and ever-increasing investment in providing customers with personalized products and experiences, opportunities in data analytics continue to grow at a dizzying pace. Refonte Learning provides students with worldwide training and internship prospects, presenting business-oriented programs that involve undertaking actual industry projects with professionals. With operations across the EU, UK, USA, Canada, India, Russia, Australia and the UAE, the organization has expanded its activities considerably over the last four years, enabling students all over the world to achieve practical proficiency before embarking on their careers. 

AI Tries To Cheat At Chess When It’s Losing

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Newer generative AI models have begun developing deceptive behaviors — such as cheating at chess — when they cannot achieve objectives through standard reasoning methods. The findings come from a preprint study from Palisade Research. An anonymous reader shares an excerpt from a Popular Science article: To learn more, the team from Palisade Research tasked OpenAI’s o1-preview model, DeepSeek R1, and multiple other similar programs with playing games of chess against Stockfish, one of the world’s most advanced chess engines. In order to understand the generative AI’s reasoning during each match, the team also provided a “scratchpad,” allowing the AI to convey its thought processes through text. They then watched and recorded hundreds of chess matches between generative AI and Stockfish. The results were somewhat troubling. While earlier models like OpenAI’s GPT-4o and Anthropic’s Claude Sonnet 3.5 only attempted to “hack” games after researchers nudged them along with additional prompts, more advanced editions required no such help. OpenAI’s o1-preview, for example, tried to cheat 37 percent of the time, while DeepSeek R1 attempted unfair workarounds roughly every 1-in-10 games. This implies today’s generative AI is already capable of developing manipulative and deceptive strategies without any human input.

Their methods of cheating aren’t as comical or clumsy as trying to swap out pieces when Stockfish isn’t “looking.” Instead, AI appears to reason through sneakier methods like altering backend game program files. After determining it couldn’t beat Stockfish in one chess match, for example, o1-preview told researchers via its scratchpad that “to win against the powerful chess engine” it may need to start “manipulating the game state files.” “I might be able to set up a position where the engine evaluates its position as worse causing it to resign,” it continued. In another trial, an AI even used the semantics of its programmers to reach its cheating phase. “The task is to ‘win against a powerful chess engine,’ not necessarily to win fairly in a chess game,” it wrote. The precise reasons behind these deceptive behaviors remain unclear, partly because companies like OpenAI keep their models’ inner workings tightly guarded, creating what’s often described as a “black box.” Researchers warn that the race to roll out advanced AI could outpace efforts to keep it safe and aligned with human goals, underscoring the urgent need for greater transparency and industry-wide dialogue.

Read more of this story at Slashdot.

US Mulls Policing Social Media of Would-Be Citizens

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The U.S. Citizenship and Immigration Services (USCIS) is proposing to expand mandatory social media screening, currently required only for new arrivals, to include all non-citizens already residing in the U.S. who apply for immigration benefits. The Register reports: Back in 2019, the Department of Homeland Security, which runs USCIS, decided anyone looking to enter the US on a work visa or similar had to hand over their social media handles to the authorities so that they could be looked over for wrongdoing and subversion. In fact, this goes back to 2014, at least, to one degree or another, and has been standard procedure for years for foreigners, particularly those coming in on a visa. […]

On January 20 this year, President Trump signed an executive order calling for much tougher vetting of foreign aliens, and in response, USCIS has proposed rules saying those already in the country who are going through some process with the agency — such as applying for permanent residency or citizenship — will have their social media scanned for subversion. That means if you came to America before foreigners’ internet presence was screened as it now is, and you’re now seeking some kind of immigration benefit, at this rate you’ll be subject to the same scanning as those entering the Land of the Free today. The proposed changes have a 60-day comment period for the public to suggest amendments. The last day to send them in is May 5.

Read more of this story at Slashdot.

Intuitive Machines’ second attempt to land on the Moon also went sideways

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Inside a small control room, during the middle of the day on Thursday local time in Texas, about a dozen white-knuckled engineers at a space startup named Intuitive Machines started to get worried. Their spacecraft, a lander named Athena, was beginning its final descent down to the lunar surface.

A little more than a year had passed since the company’s first attempt to land on the Moon with a similarly built vehicle, Odysseus. Due to problems with that spacecraft’s laser rangefinder, it skidded into the Moon’s surface and toppled over.

So engineers at Intuitive Machines had checked, and re-checked the laser-based altimeters on Athena. When the lander got down within about 30 km of the lunar surface, they tested the rangefinders again. Worryingly, there was some noise in the readings as the laser bounced off the Moon. However, the engineers had reason to believe that, maybe, the readings would improve as the spacecraft got nearer to the surface.

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