Cheap AI Drives Cheap Autonomy

Extracted Attributes

• Nature

  Concept/Trend

• Key Driver

  Democratized AI

• Primary Impact

  Reshaping cities and reducing urban parking needs

• Current Limitation

  Capacity of existing electricity grids

Timeline

• Artificial intelligence (AI) was founded as an academic discipline, laying the groundwork for future advancements that would eventually lead to 'cheap AI'. (Source: wikipedia)

  1956-01-01

• Following 2012, funding and interest in AI vastly increased as Graphics Processing Units (GPUs) began to be used to accelerate neural networks, and deep learning techniques outperformed previous AI methods, contributing to the development of more affordable and powerful AI. (Source: wikipedia)

  2012-01-01

• After 2017, the growth in AI accelerated further with the introduction of the transformer architecture, a key innovation enabling more advanced and efficient AI models. (Source: wikipedia)

  2017-01-01

• The 2020s marked an ongoing period of rapid progress in advanced generative AI, known as the 'AI boom', which directly contributes to the 'cheap AI' aspect of the concept. (Source: wikipedia)

  2020-01-01

Artificial intelligence

Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g., language models and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go). However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore." Various subfields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include learning, reasoning, knowledge representation, planning, natural language processing, perception, and support for robotics. To reach these goals, AI researchers have adapted and integrated a wide range of techniques, including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics. AI also draws upon psychology, linguistics, philosophy, neuroscience, and other fields. Some companies, such as OpenAI, Google DeepMind and Meta, aim to create artificial general intelligence (AGI)—AI that can complete virtually any cognitive task at least as well as a human. Artificial intelligence was founded as an academic discipline in 1956, and the field went through multiple cycles of optimism throughout its history, followed by periods of disappointment and loss of funding, known as AI winters. Funding and interest vastly increased after 2012 when graphics processing units started being used to accelerate neural networks and deep learning outperformed previous AI techniques. This growth accelerated further after 2017 with the transformer architecture. In the 2020s, an ongoing period of rapid progress in advanced generative AI became known as the AI boom. Generative AI's ability to create and modify content has led to several unintended consequences and harms, which has raised ethical concerns about AI's long-term effects and potential existential risks, prompting discussions about regulatory policies to ensure the safety and benefits of the technology.

Web Search Results

• Best AI Stocks to Buy Now - Morningstar

  Advanced Micro Devices is the second semiconductor producer on our list of the best AI stocks to buy now. By partnering with chip manufacturing leader Taiwan Semiconductor Manufacturing and adopting a chiplet manufacturing strategy, AMD has been able to come to market with more formidable products and greater flexibility to bring new products to market quickly. This affordable AI stock trades 28% below our fair value estimate of $120 per share. [...] Next on our list of affordable AI stock buys is Oracle. Oracle provides enterprise applications and infrastructure offerings around the world through a variety of flexible IT deployment models, including on-premises, cloud-based, and hybrid. Shares of Oracle are 31% undervalued relative to our fair value estimate of $184 per share. [...] The first internet retailer on our list of affordable AI stock buys is Amazon.com. Amazon is the leading online retailer and marketplace for third-party sellers. Its retail-related revenue makes up approximately 75% of the total, followed by Amazon Web Services’ cloud computing, storage, database, and other offerings. Shares of Amazon are 28% undervalued relative to our fair value estimate of $240 per share.

• Vehicles That Are Almost Self-Driving in 2025 - US News Cars

  The Volkswagen ID.4 is an affordable electric crossover that comes standard with a comprehensive suite of advanced safety features, which Volkswagen calls IQ.Drive. The IQ.Drive package includes Travel Assist, Volkswagen's semi-autonomous driving system. Travel Assist keeps the ID.4 centered in its lane and maintains a fixed distance from the vehicle ahead. That’s thanks to a combination of advanced adaptive cruise control and lane-centering technology, using the car’s network of sensors and [...] We’ve already seen a Tesla vehicle on this list, and yes, the Model 3’s semi-automated driving technology is the same as the aforementioned Model S’s features. The price above includes the base Model 3 Long Range Rear-Wheel Drive, plus $8,000 for Full Self-Driving. These features combine to help the Tesla accelerate, decelerate, park, steer, and turn. It’s a decent overall value for semi-autonomous technology as well as fantastic range and efficiency. Note that Tesla now includes the caveat [...] Though Subaru’s EyeSight package of active safety features isn’t hands-free, it’s a good lineup of driver-assistance tech at a really competitive price point. It comes standard in the affordable Impreza compact hatchback as well as a bunch of other Subies. Impreza buyers get a well-calibrated adaptive cruise control system, which pairs with automatic emergency braking to avoid getting too close to cars ahead. Lane-departure warning and lane-keep assist keep the car safely centered in its lane.

• Shield AI

  Don’t let the management system dictate your autonomy solution. Seamless, quick integration of Hivemind-enabled machines for your command & control or fleet management system of choice. ### Real-world tested autonomy with AI-powered, extensible tools Shield AI enabled the X-62 VISTA to autonomously fly and perform tactical maneuvers against human pilots. Hivemind successfully flew a MQ-20 Avenger, leveraging some Autonomy Government Reference Architecture (A-GRA)-compliant interfaces. [...] Development per unit time is what matters. Years of development become weeks. Months of development become days. #### Lean teams, massive impact Hyper-enable your dev teams. Transform your software engineers into autonomy geniuses. #### Own your customizations Design intuitively in a modular, extensible, and scalable platform to deploy autonomy to multiple machines across domains. Build with Hivemind, but own your customizations. [...] Begin your autonomy journey 10 years ahead. Pilot enables rapid deployment with pre-built behaviors and adaptability for diverse mission autonomy. Robust reference pilots feature: state estimation, mapping, sensing, object tracking, task planning, behavior planning, and motion planning for intelligent machines. ### The autonomy factory

• AI for mining massive autonomy datasets | Applied Intuition

  To accomplish this, we run the CLIP-based visual encoder on cloud GPUs. GPUs excel at processing large batches of data simultaneously, making them ideal for high-throughput tasks like embedding thousands of images efficiently. However, due to their high cost, we use a queue system that automatically scales the GPUs up and down to handle load. This includes scaling the GPUs to zero when there is no load to save cost. [...] To accomplish this, we run the CLIP-based text encoder (a GPT-style transformer) on always-on cloud CPUs. While the throughput of CPUs is lower, they are significantly lower cost. This cost savings allows CPUs to remain operational without incurring the high expense of GPUs, making them an ideal choice for handling low-volume but latency-sensitive tasks in the query tower. [...] At Applied Intuition, we are committed to pushing the boundaries of AI-driven autonomy development. Data Explorer is revolutionizing the way autonomy engineers analyze fleet log data, making the process significantly faster and more efficient. If you're looking to accelerate your autonomy stack development, learn more about how Data Explorer can streamline your data management and analysis processes, enabling more efficient development cycles and deeper insights into your data.

• Mobileye | Driver Assist and Autonomous Driving Technologies

  ### From the beginning, Mobileye has developed hardware and software in-house, paving the way for highly efficient hardware, software, and algorithmic stacks at a superior cost-performance ratio. Dig deeper Built from the ground-up for automotive ----------------------------------------- ### From the beginning, Mobileye has developed hardware and software in-house, paving the way for highly efficient hardware, software, and algorithmic stacks at a superior cost-performance ratio. [...] takes experience and vision. ------------------------------------------------------------- Twenty-five years ago, Mobileye revolutionized driver-assist with a simple radical idea: a single, inexpensive sensor, the camera, could be the basis for life-saving technology. 190 million vehicles later, Mobileye continues to pioneer this driver-assist technology, while leading the way to the fully autonomous future. [...] Mobileye values your privacy. Our sites use cookies and similar technologies to ensure that we give you the best possible experience by providing you personalized information, remembering your marketing and product preferences, and helping you obtain the right information. ### Your Choices