If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
If you're tackling a degree in science, technology, engineering, or mathematics, there's nothing more frustrating than a machine that can't keep up with the apps you need for your coursework. Here's where a powerful gaming laptop proves its mettle. With GPU acceleration, your machine delivers super-fast image processing, real-time rendering for complex component designs, and it lets you work quickly and efficiently. For engineering students, this means more interactive, real-time rendering for 3D design and modeling, plus faster solutions and visualization for mechanical, structural, and electrical simulations. For computer science, data science, and economics students, NVIDIA's GeForce RTX 30 Series laptops enable faster data analytics for processing large data sets -- all with efficient training for deep learning and traditional machine learning models for computer vision, natural language processing, and tabular data.
Bloomberg reports the UK is considering blocking Nvidia's $40 billion acquisition of Arm over national security concerns. Over 160 billion chips have been made for various devices based on designs from Arm. In recent years, the company has added AI accelerator chips to its lineup for neural network processing. "ARM is an incredible company and it employs some of the greatest engineering minds in the world. But we believe we can make ARM even more incredible and take it to even higher levels. We want to propel it -- and the UK -- to global AI leadership."
Revenue for the artificial intelligence (AI) market is forecast to grow 15.2 percent in 2021 to $341.8 billion, according to the latest IDC report. The market is forecast to accelerate further in 2022 with 18.8 percent growth and remain on track to break the $500 billion mark by 2024. However, in terms of growth, AI Hardware is estimated to grow the fastest in the next several years. From 2023 onwards, AI Services is forecast to become the fastest growing category. Ritu Jyoti, group vice president for AI and Automation Research at IDC, said: "We have now entered the domain of AI-augmented work and decision across all the functional areas of a business. Responsible creation and use of AI solutions that can sense, predict, respond, and adapt at speed is an important business imperative."
Disappointment abounds when your data scientists dial in the accuracy on deep learning models to a high degree but are then eventually forced to gut the model for inference because of resource constraints. Fortunately, that will not happen often using the latest release of Nvidia's TensorRT inference engine, which can run the BERT-Large transformer model with less than a millisecond of latency, according to the AI systems maker. "Traditionally, training for AI is always done in the data center," Siddharth Sharma, Nvidia's head of product marketing for AI Software said in a July 19 (Monday) briefing. "You start with petabytes of data, hundreds of thousands of hours of speech data. You train the model to the highest accuracy that you can. And then once you trained it, you actually throw it over for inference."
NVIDIA announced on Monday that its new hosted AI development hub -- the NVIDIA Base Command Platform -- is now available to North American customers after debuting in May. NVIDIA said in a statement that the platform "provides enterprises with instant access to powerful computing infrastructure wherever their data resides." The tool is available to be rented for a monthly subscription price of $90,000. There is a three-month minimum to all subscriptions, NVIDIA explained. Manuvir Das, head of Enterprise Computing at NVIDIA, said the Base Command Platform makes it easy for enterprises to instantly access the power of an NVIDIA DGX SuperPOD to "accelerate the AI and data science development lifecycle."
NVIDIA has been a presence in the financial industry for more than 15 years. Financial institutions harness NVIDIA's full stack accelerated computing platform to power AI and high-performance computing applications that utilise vast amounts of data to increase revenues, reduce costs, and mitigate risk across the enterprise. NVIDIA works with the largest banks, credit card issuers, and insurers across the globe helping financial institutions deliver AI-powered solutions. Financial institutions bring a range of problems and opportunities to NVIDIA to solve through AI. Ultimately, financial institutions, including fintechs, seek NVIDIA's expertise in accelerated computing to AI-enable hundreds of applications to drive better insights, increase revenues and remove operational inefficiencies.
"WE'RE ALWAYS 30 days away from going out of business," is a mantra of Jen-Hsun Huang, co-founder of Nvidia, a semiconductor company. That may be a little hyperbolic coming from the boss of a company whose market value has increased from $31bn to $486bn in five years and which has eclipsed Intel, once the world's mightiest chipmaker, by selling high-performance chips for gaming and artificial intelligence (AI). As Mr Huang observes, Nvidia is surrounded by "giant companies pursuing the same giant opportunity". To borrow a phrase from Intel's co-founder, Andy Grove, in this fast-moving market "only the paranoid survive". Constant vigilance has served Nvidia well.
In this episode of ETF Spotlight, I speak with Zacks Senior Stock Strategist, Kevin Cook, about investing in advanced technologies, which are bringing science fiction to our offices, homes, cars, and portfolios. London-based research company DeepMind, which was acquired by Alphabet parent Google GOOGL in 2014, has developed an AI system that can predict the 3D shape of all known proteins with almost perfect accuracy. This is a huge development for life sciences and medicine. Exponential advancements in AI have changed the nature of computing, making Moore's law irrelevant. Per WSJ, Huang's law named for Nvidia's NVDA CEO, is in full effect now.
Graphics processing units from Nvidia are too hard to program, including with Nvidia's own programming tool, CUDA, according to artificial intelligence research firm OpenAI. The San Francisco-based AI startup, which is backed by Microsoft and VC firm Khosla ventures, on Wednesday introduced the 1.0 version a new programming language specially crafted to ease that burden, called Triton, detailed in a blog post, with the link to GitHub source code. OpenAI claims Triton can deliver substantial ease-of-use benefits over coding in CUDA for some neural network tasks at the heart of machine learning forms of AI such as matrix multiplies. "Our goal is for it to become a viable alternative to CUDA for Deep Learning," the leader of the effort, OpenAI scientist Philippe Tillet, told ZDNet via email. Triton "is for machine learning researchers and engineers who are unfamiliar with GPU programming despite having good software engineering skills," said Tillet.
And walk right out again, without stopping to check out. In just the past three months, California-based AiFi has helped Choice Market increase sales at one of its Denver stores by 20 percent among customers who opted to skip the checkout line. It allowed Żabka, a Polish convenience store chain, to provide faster checkout for morning train commuters. It helped pro-racing team Penske and Verizon run a dinky 200-square-foot store at the Indy500, so race fans could quickly get back to the action. And on Wednesday AiFi announced an expanded partnership with Loop Neighborhood to introduce its computer vision, camera-only platform into stores in California, starting with two Bay Area locations.