Log in
Show password
Forgot password ?
Become a member for free
Sign up
Sign up
New member
Sign up for FREE
New customer
Discover our services
Dynamic quotes 


SummaryMost relevantAll NewsAnalyst Reco.Other languagesPress ReleasesOfficial PublicationsSector newsMarketScreener Strategies

Lam Research : The Era of Artificial Intelligence

11/18/2021 | 01:03pm EST
The Era of Artificial Intelligence
Lam Research| November 18, 2021| Industry
Share This:

Once considered to be science fiction and fodder for Hollywood films, artificial intelligence (AI) has become a near-ubiquitous technology in our communities, homes and workplaces that is helping to improve our day-to-day lives. The groundwork is now being laid for a more AI-enabled future - one where creativity can be enhanced, productivity can be increased, and business can operate more reliably and efficiently.

What Is Artificial Intelligence?

Artificial intelligence is a term applied to computers, robots, or machines that exhibit aspects of human intelligence and reasoning, such as visual perception, speech recognition, and decision-making.

Brief timeline of milestones in AI development:

To achieve these capabilities, AI works by processing data to identify patterns, make predictions, and recommend actions on any given task. AI is commonly broken into two categories:

  1. Weak AI - otherwise known as 'narrow AI'- is focuses on performing a specific task or function, and generally requires human interfacing to operate. Examples of weak AI include Apple's Siri, Amazon's Alexa, or Google Assistant. These virtual assistants can understand certain keywords and produce responses to commands but can't discern the meaning of what was said.
  2. Strong AI- In contrast, strong AI is general in its function and it can reason, plan, learn and problem-solveautonomously. Currently, strong AI is theoretical and there are no practical examples of it in use today, but numerousapplications are in development. One area that strong AI could be appliedis cybersecurity, where AI intelligence could aid in breachdetection, threat intelligence andrisk analysis.
Subsets of Artificial Intelligence

Machine learning and deep learning are subcategories of artificial intelligence. While AI is a term to describe intelligent machines that can reason and perform tasks autonomously, machine learning refers to a type of AI that enables software applications that leverage algorithms and historical data to learn over time and predict likely outcomes. Another AI subtype is deep learning, which uses neural networks that imitate the human brain's ability to analyze data and learn by identifying patterns in a given dataset.

A key differentiator between deep learning and machine learning is how the systems learn and are trained. For example, if you were to sort your photos in your phone, you would need to present the machine learning algorithm with structured data: data that is categorized with identifiers, for instance like a digital photo album of pets, or landscapes, or family members. Once fed through the system, the machine learning algorithm will sort based on what it has learned from your tagged photos. Deep learning on the other hand doesn't require structured data to categorize your images. Instead, it processes the image through neural networks that enable it to classify specific features. In other words: if a photo contains a mountain or a body of water, the algorithm will classify it as a landscape and if the photo has fur and whiskers, the system can identify it as a type of animal, like a dog or a cat.

The analysis of visual information is an exciting field within artificial intelligence. Called computer vision, the technology goes beyond image processing to identifying and interpreting the data contained in the image, then applying that knowledge. For example, facial recognition is a type of computer vision that not only perceives facial features, but can go further and identify the face as being the phone's owner.

Applications of Artificial Intelligence

Let's take a quick look at some other examples of how artificial intelligence is enhancing our lives.

Applications like Google Translate can be used to transcribe spoken words into written text with automatic speech recognition. The application is also able to understand and translate spoken words.

Natural language processing has reshaped the modern workplace. With AI-powered applications like chatbots and voice assistants, businesses can interact with their customers in real-time, regardless of the time of day. Additionally, spelling auto-correct and email filters enable employees to send more polished, -error-free responses to customers and clients.

In the construction industry, AI is helping to make construction sites safer and more secure. Using computer vision, another subset of AI, to analyze video data in real-time to monitor and detect unsafe conditions or faulty machinery and help predict when accidents or equipment failures are likely to occur.

Home security has been drastically improved by the introduction of AI-powered smart home applications. These smart monitoring systems have helped to reduce the number of thefts and break-ins with smart cameras that incorporate AI and facial recognition capabilities.

Specialized Chips

Ultimately, AI is reliant on microchips, which support the cognitive functions of AI-enabled applications that are compute and memory-intensive. The continued evolution of semiconductors has enabled AI to become part of our everyday devices.

The recent advancements in specialized chips have enabled the development of embedded AI: instead of AI computation and processing occurring in the cloud, AI functions can now be performed at the device-level.

AI's evolving impact on our world has never been more evident, as this once nascent technology now resides in our smartphones and other devices, and it continues to improve the functionality and efficiency of our lives. From auto-correcting our spelling and grammar, to securing physical constructions sites and our digital identities and assets online, AI's transformative impact can be seen and felt just about everywhere.

Curious to understand how Lam Research is using AI in its tools and services? Watch this space to learn more in future posts!

Share This:


Lam Research Corporation published this content on 18 November 2021 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 18 November 2021 18:02:06 UTC.

ę Publicnow 2021
01/26Lam Research Earnings, Sales Increase in December Quarter; Shares Slump in After-Hours ..
01/26Lam Research's 3Q Guidance Points to Worsening Supply-Chain Conditions
01/26Lam Research Reports Higher 2Q Profit, Says Supply-Chain Conditions Worsened in Late De..
01/26LAM RESEARCH : Fiscal Q2 Earnings Snapshot
01/26LAM RESEARCH : Reports Financial Results for the Quarter Ended December 26, 2021 - Form 8-..
01/26Earnings Flash (LRCX) LAM RESEARCH CORPORATION Posts Q4 EPS $8.53
01/26Lam Research Corporation Reports Financial Results for the Quarter Ended Decemberá26, 2..
01/26Earnings Flash (LRCX) LAM RESEARCH CORPORATION Reports Q4 Revenue $4.23B
01/26EARNINGS REACTION HISTORY : Lam Research, 54.5% Follow-Through Indicator, 4.0% Sensitive
01/26KeyBanc Initiates Coverage on Lam Research With Sector Weight Rating
More news
Analyst Recommendations on LAM RESEARCH CORPORATION
More recommendations
Financials (USD)
Sales 2022 17 755 M - -
Net income 2022 4 879 M - -
Net cash 2022 1 343 M - -
P/E ratio 2022 17,4x
Yield 2022 0,98%
Capitalization 84 010 M 84 010 M -
EV / Sales 2022 4,66x
EV / Sales 2023 4,38x
Nbr of Employees 15 400
Free-Float 99,8%
Duration : Period :
Lam Research Corporation Technical Analysis Chart | LRCX | US5128071082 | MarketScreener
Technical analysis trends LAM RESEARCH CORPORATION
Short TermMid-TermLong Term
Income Statement Evolution
Mean consensus OUTPERFORM
Number of Analysts 28
Last Close Price 596,67 $
Average target price 744,71 $
Spread / Average Target 24,8%
EPS Revisions
Managers and Directors
Timothy M. Archer President, Chief Executive Officer & Director
Douglas R. Bettinger CFO, Chief Accounting Officer & Executive VP
Abhijit Y. Talwalkar Chairman
Richard A. Gottscho Chief Technology Officer & Executive VP
Robert Hawthorne Chief Information Officer
Sector and Competitors
1st jan.Capi. (M$)
ASML HOLDING N.V.-16.50%263 876
ENTEGRIS, INC.-15.98%15 748
QORVO, INC.-14.55%14 709