Samsung
OEM : Computer and Electronic
Samsung Electronics constantly reinvents the future. We explore the unknown to discover technologies to help people all over the world lead happier, healthier lives.
Assembly Line
📱 Inside the Factory Where Robots Are Building Your Next Samsung Phone
The sound of bots whirring, air gaskets blowing and mechanical arms shifting positions can be heard throughout the facility. Every once in a while, an autonomous robot will play a cute jingle to signal its arrival. These robots, known as AGVs (for automated guided vehicles), roam the factory floor shuttling materials to their designated stations, guided by aluminum tracks on the floor. I’m told there are 80 of the bots in the company’s Gumi facility, where phones like the Galaxy S23 and the new Galaxy Z Flip 5 are assembled.
A large portion of the assembly line is dedicated to quality checks. Samsung says there are about 30,000 to 50,000 inspection items for the Galaxy S23 lineup alone. That includes the S Pen connection; the charging port; near-field communication functionality (or NFC, the tech that powers contactless payments); touch screen panels; fingerprint sensors; cameras; speakers; the SIM card tray; and Wi-Fi connections. There are also checkpoints within the assembly line for chips that enable millimeter wave 5G connections and ultra wideband, the proximity-sensing tech that enables phones to more easily share files and to function as digital car keys.
ABB and Samsung Engineering to collaborate on gas analyzers for Saudi Arabia’s energy industries
ABB has signed a framework agreement with Samsung Engineering in Saudi Arabia to collaborate in engineering and procurement activities in the Kingdom. With this agreement, ABB becomes a single-source vendor for gas analyzer system integration for Samsung in Saudi Arabia.
Together, the two companies plan to explore business opportunities and provide complete analytical solutions to the Saudi oil & gas market. Effective measurement of gas quality is key to safety and reliability, decreasing the environmental footprint and increasing profitability of the production process. ABB’s solutions support the most demanding applications.
Membrion Series B round closes at $12.5M
Electro-desalination membrane manufacturer, Membrion today announced the completion of their Series B funding round, raising a round total of 12.5 million dollars. The second close of 5.5 million dollars is anchored by Samsung Venture Investment Corporation and Lam Capital. They are joined by Indico Capital Partners, Harvard Business School New York Alumni Angel Group, New York Angels, and GiantLeap Capital.
Tenstorrent Raises a $100M Strategic Up-round Co-led by Hyundai Motor Group and the Samsung Catalyst Fund
Tenstorrent is pleased to announce that it closed a $100M strategic financing up-round led by Hyundai Motor Group and Samsung Catalyst Fund, with participation from Fidelity Ventures, Eclipse Ventures, Epiq Capital, Maverick Capital, and more.
Tenstorrent sells AI processors and licenses AI and RISC-V IP to customers that want to own and customize their silicon. Both Hyundai Motor Group and Samsung have a strong history of product leadership and enjoy massive success in their respective markets.
Samsung to make Tesla’s fifth-generation HW 5.0 auto chip
Samsung Electronics Co., the world’s largest memory chipmaker, will make Tesla Inc.’s next-generation Full Self-Driving (FSD) chips to be used in the top US electric carmaker’s Level-5 autonomous driving vehicles. Last year, Tesla chose Taiwan Semiconductor Manufacturing Co. (TSMC) as its sole partner for the production of the HW 5.0 auto chip. Now, Tesla plans to work with both TSMC and Samsung, or could switch from TSMC to Samsung altogether, for mass production of the fifth-generation auto chips, industry officials said.
Samsung had been supplying earlier versions of FSD chips to Tesla for EVs such as the Model 3, Model 5, Model X and Model Y. Last week, HI Investment & Securities analyst Park Sang-wook said in a research note that Samsung’s chip production yield rates for the 4 nm and finer 3 nm nodes have improved to over 75% and 60%, respectively.
Samsung to apply AI, big data tech to entire chipmaking process
In partnership with the Samsung Advanced Institute of Technology (SAIT), Samsung’s Device Solutions (DS) division, which oversees its semiconductor business, will lead the company’s efforts to broaden the use of AI throughout the chipmaking process, sources familiar with the matter said on Monday. Under the plan, Samsung will seek to apply AI tech to DRAM design automation, chip material development, foundry yield improvement, mass production and chip packaging.
Specifically, the company hopes its AI tech will determine the cause of unnecessary wafer losses, optimize the AI-based manufacturing process and analyze DRAM product defects, sources said.
🤝 Samsung Electronics Signs Net Zero Home Cooperation Partnership With SolarEdge
Samsung Electronics today announced that it has signed a partnership with SolarEdge, the global leader in residential solar and storage solutions, to expand its coverage of the Net Zero Home ecosystem.
Integrating with SolarEdge Home, SolarEdge’s smart energy ecosystem, SmartThings Energy offers users new ways to optimize energy consumption and lower their home’s energy bills. It provides one-stop support, from monitoring a household’s photovoltaic (PV) generation and battery status at a glance to optimize energy consumption and save energy with its AI Energy Mode. The SolarEdge ecosystem has expanded to include Samsung’s wide range of smart energy technologies, including heat pumps to power more devices with clean solar energy, together providing visibility on appliances’ impact on household energy consumption.
Behind the Foldable Phones in Our Pockets
Why we invested in ZEDEDA: visibility, control, and security for the distributed edge
Traditionally, the deployment and remote management of Industrial Internet of Things (IIoT) at the edge has been difficult and expensive. One of the most significant hurdles faced by enterprise users today is the cost and lead time needed to update what are often proprietary legacy solutions. In the current environment, the majority of IIoT solution providers offer highly customized, siloed solutions for customers in specific verticals. As a result, these verticalized solutions tend to be fragmented and often are expensive to update and maintain.
We invested in ZEDEDA because the company has proven it can remain a horizontal play across multiple industrial verticals. ZEDEDA was founded in 2016 as a vertical solution provider. But in 2019, the company made the decision to open source its flagship product, EVE-OS.
Landing AI Secures Funding to Unlock Power of Small Datasets, Unleashing Next Era of AI
Landing AI, led by artificial intelligence visionary, Andrew Ng, developed LandingLens™, a fast, easy to use enterprise MLOps platform. It applies AI and deep learning to help manufacturers solve visual inspection problems, find product defects more reliably, and generate business value.
“You don’t always need big data to win with AI. You need good data that teaches the AI what you want it to learn,” said Ng, Founder & CEO of Landing AI. “AI built for 50 million data points doesn’t work when you only have 50 data points. By bringing machine learning to everyone regardless of the size of their data set, the next era of AI will have a real-world impact on all industries.”
The data-centric approach of Landing AI is also key to making LandingLens fast and easy-to-use. The process of engineering the data, instead of the AI software, gives an efficient way for manufacturers to teach an AI model what to do. Domain experts, not just AI experts, can now build an AI system, and take it to production. For example, rather than needing to write pages of code to train a neural network, a domain expert can do it with a few mouse clicks. This no code/low code data-centric platform enables new users to build advanced AI models in less than a day. Vision inspection projects that used to take over a year can be executed in just weeks using LandingLens.