Technology
NIST Launches New Generative Artificial Intelligence Assessment Platform

The National Institute of Standards and Technology (NIST), an agency of the U.S. Department of Commerce that develops and tests technologies for the U.S. government, businesses and most of the people, announced on Monday the launch of NIST GenAI, a brand new program led by NIST to judge generative technologies Artificial intelligence technologies, including artificial intelligence generating text and pictures.
NIST GenAI will publish benchmarks, help create systems for detecting “content authenticity” (i.e., deep-check false information), and encourage the event of software that detects the source of false or misleading information generated by artificial intelligence, NIST explains on newly launched NIST GenAI website and press release.
“The NIST GenAI program will publish a series of challenges designed to assess and measure the capabilities and limitations of generative artificial intelligence technologies,” the press release reads. “These assessments will be used to identify strategies to promote information integrity and guidance for the safe and responsible use of digital content.”
The first NIST GenAI project is a pilot study to construct systems that may reliably distinguish human-generated media from AI-generated media, starting with text. (While many services aim to detect deepfakes, research and our own testing have shown that they’re unreliable, especially in terms of text.) NIST GenAI is inviting teams from academia, industry, and research labs to submit “generators” – AI systems to content generation – i.e. “discriminators”, i.e. systems that attempt to discover content generated by artificial intelligence.
Generators within the study must generate summaries given a subject and set of documents, while discriminators must detect whether a given summary is written by artificial intelligence. To ensure fairness, NIST GenAI will provide data vital to coach generators and discriminators; systems trained on publicly available data is not going to be accepted, including but not limited to open models akin to Meta’s Llama 3.
Registration for the pilot will begin on May 1, and the outcomes might be announced in February 2025.
The launch of NIST GenAI and study specializing in deepfakes comes at a time of exponential growth within the variety of deepfakes.
According to data from Clarity, a deepfake detection company, 900% more deepfakes have been created this yr in comparison with the identical period last yr. This causes concern, which is comprehensible. AND last vote from YouGov discovered it 85% of Americans said they were concerned regarding the spread of misleading deepfakes on the Internet.
The launch of NIST GenAI is an element of NIST’s response to President Joe Biden’s Executive Order on Artificial Intelligence, which sets rules requiring AI firms to be more transparent about how their models perform and establishes quite a lot of recent standards, including for labeling AI-generated content intelligence .
This can be NIST’s first AI-related announcement following the appointment of Paul Christiano, a former OpenAI researcher, to the agency’s AI Security Institute.
Christiano was a controversial alternative as a consequence of his “doomeristic” views; he once predicted that “there is a 50% chance that the development of artificial intelligence will end in (the destruction of humanity).” Criticsreportedly including scientists at NIST, they fear that Cristiano may encourage the AI Security Institute to concentrate on “fantasy scenarios” reasonably than realistic, more immediate threats from artificial intelligence.
NIST says NIST GenAI will report on the work of the AI Security Institute.
Technology
The latest model AI Google Gemma can work on phones

It grows “open” AI Google, Gemma, grows.
While Google I/O 2025 On Tuesday, Google removed Gemma 3N compresses, a model designed for “liquid” on phones, laptops and tablets. According to Google, available in a preview starting on Tuesday, Gemma 3N can support sound, text, paintings and flicks.
Models efficient enough to operate in offline mode and without the necessity to calculate within the cloud have gained popularity within the AI community lately. They will not be only cheaper to make use of than large models, but they keep privacy, eliminating the necessity to send data to a distant data center.
During the speech to I/O product manager, Gemma Gus Martins said that GEMMA 3N can work on devices with lower than 2 GB of RAM. “Gemma 3N shares the same architecture as Gemini Nano, and is also designed for incredible performance,” he added.
In addition to Gemma 3N, Google releases Medgemma through the AI developer foundation program. According to Medgemma, it’s essentially the most talented model to research text and health -related images.
“Medgemma (IS) OUR (…) A collection of open models to understand the text and multimodal image (health),” said Martins. “Medgemma works great in various imaging and text applications, thanks to which developers (…) could adapt the models to their own health applications.”
Also on the horizon there may be SignGEMMA, an open model for signaling sign language right into a spoken language. Google claims that Signgemma will allow programmers to create recent applications and integration for users of deaf and hard.
“SIGNGEMMA is a new family of models trained to translate sign language into a spoken text, but preferably in the American sign and English,” said Martins. “This is the most talented model of understanding sign language in history and we are looking forward to you-programmers, deaf and hard communities-to take this base and build with it.”
It is value noting that Gemma has been criticized for non -standard, non -standard license conditions, which in accordance with some developers adopted models with a dangerous proposal. However, this didn’t discourage programmers from downloading Gemma models tens of tens of millions of times.
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(Tagstransate) gemma
Technology
Trump to sign a criminalizing account of porn revenge and clear deep cabinets

President Donald Trump is predicted to sign the act on Take It Down, a bilateral law that introduces more severe punishments for distributing clear images, including deep wardrobes and pornography of revenge.
The Act criminalizes the publication of such photos, regardless of whether or not they are authentic or generated AI. Whoever publishes photos or videos can face penalty, including a advantageous, deprivation of liberty and restitution.
According to the brand new law, media firms and web platforms must remove such materials inside 48 hours of termination of the victim. Platforms must also take steps to remove the duplicate content.
Many states have already banned clear sexual desems and pornography of revenge, but for the primary time federal regulatory authorities will enter to impose restrictions on web firms.
The first lady Melania Trump lobbyed for the law, which was sponsored by the senators Ted Cruz (R-TEXAS) and Amy Klobuchar (d-minn.). Cruz said he inspired him to act after hearing that Snapchat for nearly a 12 months refused to remove a deep displacement of a 14-year-old girl.
Proponents of freedom of speech and a group of digital rights aroused concerns, saying that the law is Too wide And it will probably lead to censorship of legal photos, similar to legal pornography, in addition to government critics.
(Tagstransate) AI
Technology
Microsoft Nadella sata chooses chatbots on the podcasts

While the general director of Microsoft, Satya Nadella, says that he likes podcasts, perhaps he didn’t take heed to them anymore.
That the treat is approaching at the end longer profile Bloomberg NadellaFocusing on the strategy of artificial intelligence Microsoft and its complicated relations with Opeli. To illustrate how much she uses Copilot’s AI assistant in her day by day life, Nadella said that as a substitute of listening to podcasts, she now sends transcription to Copilot, after which talks to Copilot with the content when driving to the office.
In addition, Nadella – who jokingly described her work as a “E -Mail driver” – said that it consists of a minimum of 10 custom agents developed in Copilot Studio to sum up E -Mailes and news, preparing for meetings and performing other tasks in the office.
It seems that AI is already transforming Microsoft in a more significant way, and programmers supposedly the most difficult hit in the company’s last dismissals, shortly after Nadella stated that the 30% of the company’s code was written by AI.
(Tagstotransate) microsoft
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