Last year will go down in tech history as the year of raised automation awareness. COVID-19 hastened digitalization across many industries. During that time, other sectors lagged, contemplating the need for smart systems, and the same trend continued in 2022, so we presented the most impressive AI news and announcements from this year.
1. Chevron purchased American Robotics’ Scout Systems
By purchasing American Robotics Scout Systems, Chevron plans to develop fully autonomous drones to help manage, monitor, and inspect its oil and gas fields. Drones would improve oil and gas inspections, making them more efficient and precise.
2. LG joins IBM Quantum Network
By joining the IBM Quantum network, LG Electronics gained access to IBM’s quantum computing systems and expertise. As a part of the agreement, LG also gets access to IBM’s open-source quantum information software development kit Qiskit. LG is making a lot of efforts in researching artificial intelligence (AI), connected vehicles, digital transformation, the Internet of Things (IoT), and robotics which all require advanced computing technology. While traditional computers calculate in bits that represent zero or one, quantum computers use qubits, using mechanical phenomena to solve problems that can’t be solved by traditional computers.
3. Meta is building the world’s fastest AI supercomputer
The AI Research SuperCluster (RSC) will feature 16,000 Nvidia A100 GPUs and should be completed in the middle of 2022. Mark Zuckerberg said that “The experiences we’re building for the metaverse require enormous compute power (quintillions of operations per second) and RSC will enable new AI models that can learn from trillions of examples, understand hundreds of languages, and more,”
Meta already made an AI supercomputer in 2017, but RSC will be much more powerful than its previous version. Like being able to train machine learning models on real-world data sourced from the company’s social media platforms.

4. South Korea investing $100 million in its under-construction AI complex in Gwangju.
The complex involves a data center and facilities related to the energy and automotive industry. The South Korean government will spend an estimated budget on the construction of the data center, sourcing computing equipment, and hiring more than 1,000 AI experts in that field. The data center is believed to have a capacity of 88.5 petaflops and 107 petabytes of storage space. The project is expected to be completed by 2024, after which they are planning another one that will begin in 2025, with the intent of making Gwangju a global hub for AI.
5. Uber spinoff starts all autonomous deliveries in LA.
Serve Robotics company recently completed the first-ever routine robot delivery without human intervention. Using multiple layers of systems including sensor modalities, the robots can safely navigate busy city sidewalks, delivering all kinds of consumer goods like food, cosmetics, etc. They also operate on sidewalks reducing the chance of traffic interactions.
6. LinkedIn develops a centralized data science platform for AI engineers
The platform is called DARWIN and is expected to become open source soon.
DARWIN stands for Data Science and Artificial intelligence Workbench on LinkedIn. They explained the whole concept on the company blog: “We soon realized a need for building a unified one-stop data science platform that would centralize and serve the various needs of data scientists and AI engineers.”
DARWIN would house “all the knowledge related to working with data, without having to leave the platform, be it accessing data, understanding it, analyzing it, finding references to build context, or generating reports.”
7. AMD closes acquisition of Xilinx for nearly 49 billion $
According to Dealogic, this move is believed to be the largest chip deal on record. Xilinx is known in the industry for its field-programmable gate arrays (FPGAs), a class of silicon devices that can be configured by the end-user to serve a variety of purposes.
8. Intel is buying Tower Semiconductor in a deal worth nearly $6 billion
With this move, Intel is getting Tower’s expertise in making analog semiconductors, especially for radiofrequency and industrial sensors. The deal will officially close in around a year and is approved by both companies.
9. Researchers from the University of Bonn in Germany have developed an AI system that can diagnose rare genetic diseases using portrait photos
The system examines visual changes in a patient’s face and compares them with prior medical records and genetic data. By the words of the experts, rare diseases are often genetic, with underlying hereditary mutations expressed by characteristic facial features, such as the distinctive nose or eyebrow shapes. The AI system learned from more than 17,000 photos of patients with different symptoms.
10. Intel reveals a crypto mining blockchain chip
Intel presented a new chip designed specifically for mining Bitcoin and minting non-fungible tokens(NFT). The chip is described as a “blockchain accelerator” and is configured to be more energy-efficient and can therefore speed up blockchain tasks. The new chip performs 1000x better than regular GPUs for crypto mining as Raja M. Koduri, general manager of the accelerated computing systems and graphics group at Intel said.

10 AI News From Q1 2022 That You Need To Know
Last year will go down in tech history as the year of raised automation awareness. COVID-19 hastened digitalization across many industries. During that time, other sectors lagged, contemplating the need for smart systems, and the same trend continued in 2022,
What Makes A Good AI Accelerator
The dynamic nature and rapid growth of machine learning algorithms and AI have created the need to develop accelerators that are optimized to handle different data types. In the past, having one processor for the general purpose was considered enough,
The Many Ways AI is Changing Our Lives for the Better
Recent technological advancements have contributed to making daily life easier for everyone. Supercomputers, robots, and interactive applications are no longer science-fiction staples. Data scientists and machine learning technologists are developing realistic computers with human-like intelligence. Artificial intelligence has become ingrained