Paris-based cybersecurity startup Filigran is capitalizing on the success of OpenCTI to build a suite of open-source threat management products.
The company has already found some early traction with OpenCTI, its open-source threat intelligence platform.
It’s a threat intelligence platform that lets you gather threat data from multiple sources in a single interface.
OpenBAS can be used as a standalone product, but it works better if you’re already using OpenCTI as it can use the threat intelligence data in OpenCTI.
There will be another two products in Filigran’s eXtended Threat Management (XTM) product suite that focus on data-driven risk analysis and crisis management.
Intuitive Machines’ first moon mission will come to a premature end due to the spacecraft landing on its side, which altered how the solar panels are positioned in relation to the sun, the company said in an update Tuesday morning.
Intuitive Machines made history when it landed its spacecraft, called Odysseus, near the lunar south pole last week.
The lander is the first American hardware to touch the lunar surface since NASA’s final crewed Apollo mission in 1972.
It’s also the first privately built and operated spacecraft to land on the moon — ever – and the closest a lander has ever come to the lunar south pole.
Intuitive Machines and NASA leadership will host a second televised news conference tomorrow to discuss updates to the mission.
Apple is scuttling its secretive, long-running project to build an autonomous electric car, according to Bloomberg.
The company has already started laying off some people who worked on the project, TechCrunch has learned.
Many of the nearly 2,000 employees who were still working on the project will be shifted to Apple’s generative AI projects, Bloomberg reported.
The decision to kill the project comes at a time when major automakers are reevaluating their investments in electric vehicles, and amid increased scrutiny on autonomous vehicle projects.
Apple first started working on its car project, known internally as “Project Titan,” in 2014.
Biotech startup SynFlora brought an enticing pitch for a new type of skin treatment technology to 4YFN at the MWC tradeshow in Barcelona this week.
The Spanish startup, whose three co-founders all have PhDs, is working to improve understanding of the skin’s microbiome and engineer skin microbes with the goal of enabling more targeted and novel therapeutics.
Including things that range well beyond what we might consider skincare.
), per Knōdlseder, or even vaccines and anti-inflammatory treatments.
But the co-founders suggest they could be between one to three years away from their novel system powering a new generation of skin-delivered therapeutics.
That’s where Codified, an early stage startup that was nurtured last year inside venture capital firm Madrona Ventures, comes into the picture.
The company was built from the ground up from a data veteran with an eye toward solving the data compliance problem, and today it announced a $4 million seed round.
Company founder and CEO Yatharth Gupta sees that data is at the center of today’s technology, yet companies struggle to control access to it.
Both jobs, he says, were heavily involved in data and he saw the kinds of problems he’s trying to solve with Codified.
Investors in today’s round include Vine Ventures, Soma Capital and Madrona Venture Labs where Codified incubated last year.
Today, the company announced a new capability for its Palmyra model that generates text from images, including graphs and charts, they call Palmyra-Vision.
May Habib, company co-founder and CEO, says that they made a strategic decision to concentrate on multimodal content, and being able to generate text from images is part of that strategy.
“We are going to be focused on multimodal input, but text output, so text generation and insight that is delivered via text,” Habib told TechCrunch.
She reserves the right to create charts and graphs at some point from data, but that’s not something they are doing at the moment.
This particular release is focused on generating text from those kinds of images.
Instagram is developing an opt-in “Friend Map” feature that would allow users to see their friends’ locations in real time, a Meta spokesperson confirmed to TechCrunch on Monday.
Instagram would also be coming for Apple and its “Find My” map feature that lets users see where their friends and family are currently located.
According to screenshots posted on Threads by Paluzzi, Instagram’s Friend Map would allow users to choose who can see their location.
Post by @alex193a View on ThreadsThe Friend Map would allow users to leave short messages, or “Notes,” on the map for others to see.
After cutting into one of Google’s core businesses, Instagram may now be looking to take on Snapchat and Apple with its Friend Map.
We’ll publish several pieces throughout the year as the AI boom continues, highlighting key work that often goes unrecognized.
Miranda Bogen is the founding director of the Center of Democracy and Technology’s AI Governance Lab, where she works to help create solutions that can effectively regulate and govern AI systems.
For the most part, AI systems are still missing seat belts, airbags, and traffic signs, so proceed with caution before using them for consequential tasks.
Consider how the success of the AI system you are working on has been defined, who that definition serves, and what context may be missing.
Intense competitive pressure to release the newest, biggest, and shiniest new AI models is leading to concerning underinvestment in responsible practices.
We’ll publish several pieces throughout the year as the AI boom continues, highlighting key work that often goes unrecognized.
Mutale Nkonde is the founding CEO of the nonprofit AI For the People (AFP), which seeks to increase the amount of Black voices in tech.
It established AI for the People as a key thought leader around how to develop protocols to guide the design, deployment, and governance of AI systems that comply with local nondiscrimination laws.
There is so much work to be done on reskilling our workforce for a time when AI systems do low-stakes labor-saving tasks.
What information can they give us about how AI systems work and do not work from them, and how can we use these insights to make sure AI truly is for the People?
We’ll publish several pieces throughout the year as the AI boom continues, highlighting key work that often goes unrecognized.
Krystal Kauffman worked as an organizer on political and issue campaigns for a decade before pursuing a degree in geology.
For the next two years, I was able to support myself doing data work in which I completed tasks that helped program AI, build LLMs and so on.
What are some issues AI users should be aware of?
Similarly, the creation of AI legislation has to involve data workers.
