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Home Artificial Intelligence

Algorithms will replace people in popular professions, TSMC will increase chip production and other news from the AI ​​world

by Vaibhav
January 16, 2022
in Artificial Intelligence
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We strive to inform readers not only about the events in the bitcoin industry, but also to talk about what is happening in related technological areas – cybersecurity, and now in the world of artificial intelligence (AI).

Cryplogger has collected the most important news from the AI ​​world over the past week.

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  • Moscow doctors have made over 3 million preliminary diagnoses using AI.
  • In 2022, TSMC will spend $40-$44 billion to expand its manufacturingcapacity to produce enough microchips.
  • Media: Several US intelligence agencies are using AI tools to prevent a second “January 6th”.
  • California authorities will consider banning the operation of Tesla’s autopilot features outside of its drone testing program.
  • Nvidia has released a new AI tool that improves the quality of video games.
  • The most important AI deals of the last week.

AI helped Moscow doctors establish 3 million diagnoses

In 2021, Moscow doctors put more than 3 million preliminary diagnoses using artificial intelligence.

The Medical Decision Support System (DSS) analyzes patient complaints and then prompts the doctor to select one of the three most likely diagnoses or specify another. It also helps to form directions for additional diagnostics.

The Moscow authorities said that the use of SPPVR reduces the time for issuing prescriptions by a factor of 10 and allows doctors to concentrate on important details in a patient’s history.

TSMC will increase production capacity for the production of chips

In 2022, Taiwanese semiconductor manufacturer TSMC will spend $40–$44 billion to increase production capacity. By 2023, the company plans to expand capital spending to $100 billion.

The manufacturer intends to reduce the global shortage of chips and meet the growing demand for advanced lithography chips for artificial intelligence and 5G applications.

According to TSMC CEO Xi Xi Wei, “over the next few years,” the company will increase revenue by 15-20% annually, which is higher than the previous forecast of 10%. The rate of return will rise to at least 53%, he added.

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Research: AI will replace humans in 30 popular professions

In the near future AI will replace human specialists in about 30 common professions. This is stated in a study by the Swedish Institute for Evaluation of the Labor Market and Educational Policy IFAU.

According to the report, algorithms will be able to do most of the work of postmen, welders, blacksmiths, bakers, machinists, retailers, cashiers, fashion models and accountants. Also, AI may replace some doctors, including radiologists, gynecologists and orthopedists.

According to the study, 53% of jobs in Sweden are at risk due to digitalization, which is about 2.49 million people out of the total number of workers.

Media: US intelligence agencies use AI for early prediction of mass protests

A number of American intelligence agencies apply artificial intelligence systems to prevent the second “January 6”.

Several research groups have developed tools to predict mass strikes, political protests and potential coups, according to The Washington Post. Among them:

  • the CoupCast unrest prediction algorithm, which analyzes democratic history and state rollback, economic fluctuations, traffic disruptions, weather changes, leadership role and other indicators;
  • technology from the non-profit organization ACLED to monitor and predict the crisis around the world;
  • PeaceTech Lab’s Ground Truth system for predicting violence in a variety of political events, including elections.

Sources said that the Department of Defense, the CIA and the US State Department are using AI to track unrest in other countries.

French scientists taught Raspberry Pi to detect computer viruses by electromagnetic radiation

Scientists from the French research institute IRISA created a Raspberry Pi-based system to detect malware by scanning PC electromagnetic waves.

The developers connected a single board computer to a Picoscope 6407 oscilloscope and an H-field sensor. Then they launched convolutional neural networks on the Raspberry Pi, which they trained on safe and malicious data to determine the parameters of a potential threat.

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As a result, the system was trained to detect anomalies in certain electromagnetic waves emitted by cyber-attacked computers with an accuracy of 99.82%.

According to scientists, the project is research and is not intended for commercialization.

California intends to ban Tesla from testing autopilot in the state without permission

California Department of Motor Vehicles study the need to regulate the use of Full Self-Driving due to “dangerous” videos.

The agency intends to reconsider its decision that the FSD beta “does not fall under the autonomous vehicle testing program, since a specially trained test driver is not present in the drone’s cabin.”

According to the regulator’s letter, this comes amid recent software updates, videos of “dangerous” uses of the technology, open investigations into autopilot, and opinions from other experts in the field.

The Department plans to study the functions of the FSD and its operation in accordance with the legislation and regulations for testing drones in California.

Nuro provided robot couriers with “airbags”

Nuro has unveiled its third-generation autonomous delivery robot with an external pedestrian airbag.

The device is equipped with several types of sensors with a 360-degree view, including conventional and thermal imaging cameras, radars and lidars. The robot courier is equipped with temperature-controlled compartments and modular inserts for transporting various goods. Also, the manufacturer doubled the luggage compartment of the drone compared to the previous version.

The delivery robot can reach speeds of up to 40 km/h. An airbag is integrated into its front end, which is activated in the event of a collision with other road users, including pedestrians and cyclists.

Google adds automatic subtitle translation to Meet

Google added translating subtitles in real time to the video conferencing service Meet. The testing of the feature will last several months.

Automatic translation of subtitles. Data: Google.

So far, the system can only convert English to Spanish, French, Portuguese and German.

The live caption feature is available in Google Workspace versions: Business Plus, Enterprise Standard, Enterprise Plus, Teaching & Learning Upgrade, Education Plus.

Nvidia has released a tool to improve image quality in games

Video accelerator manufacturer Nvidia introduced AI-powered DLDSR technology to improve image quality in games.

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Comparison of image quality in native resolution and when using Nvidia DSR and DLDSR dynamic resolution technology. Data: Nvidia.

The tool renders the image at a higher quality and then scales it to match the monitor’s resolution. It enhances detail, smoothes the edges of objects, and reduces frame flicker. According to the company, the algorithm outperforms existing Dynamic Super Resolution (DSR) technology by about a factor of two.

DLDSR uses specialized tensor cores and can only work with GeForce RTX series graphics cards, but will be supported in most games.

L’Oreal has developed an AI assistant for selecting the “perfect” hair shade

Cosmetics manufacturer L’Oreal introduced Coloright AI-powered device to help stylists find the “perfect” hair color. It is already being tested in some salons in France.

Color light scanner. Data: L’Oreal.

The system analyzes the client’s hair and evaluates its length, porosity and density, and also determines the percentage of gray hair. She then generates custom recipes with over 1500 shades and blends base creams, developers and thinners based on user selection.

The company plans a full-scale launch of Coloright in late 2022 or early 2023.

The most important AI deals of the last week

From January 9 to January 15, 2022, AI startups raised over $859.3 million. Here are the most interesting transactions.

  • Shield collected $15 million to scale compliance analytics platform.
  • highspot received $248 million to support tools to increase sales.
  • Developers of service for transcribing medical conversations DeepScribe attracted $30 million
  • Seek Out received $115 million to expand the recruiting platform.
  • Placer.ai collected $ 100 million to improve the service for tracking and analyzing the attendance of various places.
  • Second Nature attracted $12.5 million to support avatar-assisted sales training software.
  • Creators of the platform for holding concerts in virtual reality AmazeVR received $15 million
  • MOSTLY AI attracted $25 million for the commercialization of synthetic data.
  • PassiveLogic collected $34 million to launch tools for modeling digital twins of buildings.
  • StageZero received $1.8 million to increase data labeling tasks in mobile games.
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