We strive to inform readers not only about events in the bitcoin industry, but also to talk about what is happening in related technological areas – cybersecurity and in the world of artificial intelligence.
Cryplogger AI collected the most important news from the world of AI over the past week.
- GitHub has blocked the accounts of Russian developers.
- Tech giants have formed an alliance to fight deepfakes.
- Google Lens has learned to recognize text in the PC version of Chrome.
- Instagram algorithms have trained to “value more” original content.
- DeepMind has introduced a new language model with 70 billion parameters.
- In South Korea, they will build an underground city with its own data center.
- The most important AI deals of the last week.
GitHub started blocking accounts of Russian developers
Storage service for IT projects GitHub started block accounts of Russian developers and companies.
According to media reports, from April 13, 2022, the platform, without warning, suspends the accounts of programmers who now or previously worked in organizations that fell under US sanctions.
As of April 15, GitHub blocked dozens of Russian accounts, including Sberbank AI Lab, Sberbank, Alfa-Bank, and individual developers.
“When a corporate account is blocked, access to repositories data can be maintained for two hours, when a personal account is stopped, it is limited instantly,” noted in Habr.
Tech giants form alliance to counter deepfakes
Alliance of IT companies C2PA will develop a standard for verifying the authenticity of images and videos on the Internet. Consortium members include Adobe, Microsoft, Intel, Twitter, Sony, Nikon, BBC and ARM.
According to the alliance, the implementation of an open standard will prevent the spread of deepfakes. Many of the authentication mechanisms will appear in 2022, and in a couple of years an ecosystem will be formed to control the veracity of photos and videos at all stages of their life cycle, Adobe said.
The technical standard will ensure that content is not tampered with using distributed ledger technology. Adobe says the alliance has a long way to go before all platforms can implement effective content verification mechanisms.
TSMC to release 2nm chips in 2026
In 2026, TSMC will release the first chips based on the 2nm process technology.
Xi Xi Wei, chief executive of the company, said that N2’s production nodes will rely on insulated gate transistors (GAA). However, he did not provide any specific details about the architecture or technology name.
It is also known that chip fabrication will rely on existing ultraviolet photolithography with a numerical aperture of 0.33.
TSMC plans to develop test chips at the end of 2024, and begin their high-volume production at the end of 2025. This means that the company’s customers will receive the first N2-based chips in 2026.
Meta Quest has learned to recognize gestures
The Meta Quest headset was taught to recognize complex gestures like “high five” and clapping.
The company has updated the mixed reality hand tracking system to support more movements. The new version of the Presence Platform API will become publicly available after preliminary testing by several developers. The technology also promises more complex and reliable interactions on the Meta Quest headset.
The Presence Platform update aims to improve gesture tracking using the cameras of the headset itself, instead of the default hardware controllers. The system focuses on recognizing movements when part of the user’s hand is out of view of the tracking device, including clapping, high fives, and crossed arms.
According to The Vergein the future the company plans to improve the identification of a raised finger up, pinches, grasping and poking.
Google Lens adds OCR to Chrome for PC
Service for visual search Google Lens taught work with text on images in the PC version of Chrome.
The user needs to hover over the image, right-click, click “Find via Google Lens” and select an action in the command bar that opens.
The tool can highlight text on images, copy it, voice it and translate it. It also allows you to find the source of the image.
The feature is available in Chrome version 100 for Windows, macOS, and Chrome OS users.
Instagram activates original content promotion algorithms
Instagram Algorithms trained “value more” original content.
According to the head of the social network Adam Mosseri, the authors who create something from scratch should receive more recognition than users who take posts from other platforms like TikTok. Developers are adjusting content ranking tools to highlight authentic photos and videos.
Mosseri said that the company is already doing everything possible for the algorithms to “predict” the originality of the content, but there are no guarantees for the correctness of the decisions made by the models.
Zoom adds gesture recognition to send emoji
To the desktop version of Zoom added gesture recognition.
It is enough for the user to raise his hand or thumb up to send the corresponding reaction to the interlocutors in the video conference.
The feature is available in the Zoom app version 5.10.3 on Mac and Windows. The option is disabled by default, but those who wish can activate it for each user, account, or the entire group.
DeepMind introduced a new language model with 70 billion parameters
British AI lab DeepMind introduced predictive optimal Chinchilla language model with 70 billion parameters. According to the company, the algorithm outperforms GPT-3, Gopher, Jurassic-1 and Megatron-Turing NLG in a wide range of tasks.
The developers said that Chinchilla has the same computing budget as DeepMind’s previously created 280 billion parameter Gopher language model, but has four times the amount of data. The algorithm requires significantly less computation for fine-tuning and inference, which greatly simplifies further use, they added.
According to MMLU testing results, Chinchilla achieves 67.5% average accuracy in prediction tasks, which is 7% higher than Gopher.
An underwater city with its own data center will appear in South Korea
South Korean scientists have proposed build experimental underwater city with its own data center. The project worth $30 million is designed for 5 years, and 80% of the costs for its creation will be covered by the state.
The implementation of the underwater settlement is carried out by the Korea Institute of Ocean Science and Technology (KIOST) with the support of the Ministry of Maritime Affairs and Fisheries, as well as 23 other departments and private companies. The facility is planned to be located near the urban agglomeration of Ulsan.
The project involves the development of technologies and equipment for the analysis of the marine environment, construction using drones, the creation of underwater energy sources and communications, monitoring the health and safety of city residents.
The data center will help develop future underwater energy efficient and sustainable data centers. The researchers will also test the system for early warning of natural disasters and the use of the complex for underwater tourism. In the future, the creation of a separate hotel is being considered.
The engineer created a drone interceptor of other drones
A Lithuanian engineer has developed a drone with a Drone Interceptor network to intercept other drones.
The system is a quadcopter with an increased power-to-weight ratio. The device can overtake a suspicious drone and conduct reconnaissance, transmitting video to the ground operator in real time.
If a potentially dangerous object needs to be shot down, the Drone Interceptor is placed under the target and, at the command of the pilot, disconnects all four propellers from the frame. Moving up, the propellers reveal a Kevlar net between themselves, which entangles and shoots down the “enemy” drone.
Left without screws, the main part of the quadrocopter descends to the ground on a parachute, emitting a sound signal to simplify the search for operators.
The most important AI deals of the last week
From April 17 to April 23, 2022, AI startups raised over $550 million. Here are the most interesting transactions.
- Jarvis ML received $16 million to develop a platform that helps brands personalize products, services and experiences.
- The creators of the Convoy marketplace, which connects cargo senders with drivers, collected $260 million
- AlphaMountain.ai attracted $2.7 million to improve the threat intelligence system for cybersecurity platforms.
- Mutiny collected $50 million for the development of a marketing service for personalizing websites.
- Present.ai received $20 million to expand the presentation tool development team.
- Laiye collected $160 million for the development of a platform for automating office tasks of varying degrees of complexity.
- Creators of digital twins for clinical trials Unlearn.AI attracted $50 million
Also on Cryplogger:
Subscribe to Cryplogger news in Telegram: Cryplogger AI – all the news from the world of AI!
Found a mistake in the text? Select it and press CTRL+ENTER
