tech:

taffy

Reactive machines

Reactive machines are a type of artificial intelligence system that operates purely based on immediate inputs from the environment, without any memory or internal state. These machines respond to specific stimuli or inputs with pre-defined, programmed behaviors. They do not have the ability to learn or adapt based on experience or past interactions.

Reactive machines are designed to perform specific tasks or functions and excel at real-time processing and decision-making. They rely on rules, algorithms, or if-then statements to determine their responses to different inputs. These systems typically have limited scope and are specialized for particular applications.

One common example of reactive machines is a chess-playing computer program. Such programs analyze the current board position and make the next move based on a set of pre-defined rules and strategies. They don’t have memory of past games or learning capabilities but are designed to make optimal moves based on the current state of the game.

Reactive machines are typically designed for well-defined and narrow domains where the environment is predictable and the tasks are specific. They are efficient, fast, and reliable in their responses. However, they lack the ability to reason, learn, or exhibit advanced cognitive capabilities like understanding context, making inferences, or adapting to new situations.

While reactive machines have their limitations, they are still valuable in various applications, such as robotics, automation, and control systems, where real-time decision-making is critical. These machines can perform tasks efficiently without the need for complex learning algorithms or extensive computational resources.

It’s important to note that reactive machines represent one level of AI sophistication and are different from more advanced AI systems, such as those based on machine learning and deep neural networks. These advanced systems can learn from data, make predictions, and adapt their behavior over time, going beyond the strictly rule-based approach of reactive machines.


 

Just in

Raspberry Pi is now a public company — TC

Raspberry Pi priced its IPO on the London Stock Exchange on Tuesday morning at £2.80 per share, valuing it at £542 million, or $690 million at today’s exchange rate, writes Romain Dillet. 

AlphaSense raises $650M

AlphaSense, a market intelligence and search platform, has raised $650 million in funding, co-led by Viking Global Investors and BDT & MSD Partners.

Elon Musk’s xAI raises $6B to take on OpenAI — VentureBeat

Confirming reports from April, the series B investment comes from the participation of multiple known venture capital firms and investors, including Valor Equity Partners, Vy Capital, Andreessen Horowitz (A16z), Sequoia Capital, Fidelity Management & Research Company, Prince Alwaleed Bin Talal and Kingdom Holding, writes Shubham Sharma. 

Capgemini partners with DARPA to explore quantum computing for carbon capture

Capgemini Government Solutions has launched a new initiative with the Defense Advanced Research Projects Agency (DARPA) to investigate quantum computing's potential in carbon capture.