The Deep Fritz computer chess software only achieved a draw in its recent chess tournament with Vladimir Kramnik because it has available only about 1.3% as much brute force computation as the earlier Deep Blue’s specialized hardware. Despite that, it plays chess at about the same level because of its superior pattern recognition-based pruning algorithm. In six years, a program like Deep Fritz will again achieve Deep Blue’s ability to analyze 200 million board positions per second. Deep Fritz-like chess programs running on ordinary personal computers will routinely defeat all humans later in this decade.… read more
On Sept. 21, 2002, Ray Kurzweil presented an award to Ezra Rapoport at the National Gallery for America’s Young Inventors ceremony. Rapoport, an 18-year-old inventor and part-time employee of KurzweilAI.net, was recognized for his invention of a speech-compression method that transmits speech clearly and reliably over phone lines using only 3 Kbps, allowing for 20 conversations over a single phone line.… read more
Students in the 2020s will explore knowledge in customized, full-immersive, 3-D learning environments, able to see, hear, smell, and touch simulated objects and interact with synthespians to foster a heightened sense of curiosity, says Diana Walczak, Artistic Director and Cofounder, Kleiser-Walczak.… read more
Vernor Vinge’s Hugo-award-winning short science fiction story “Fast Times at Fairmont High” takes place in a near future in which everyone lives in a ubiquitous, wireless, networked world using wearable computers and contacts or glasses on which computer graphics are projected to create an augmented reality.… read more
In a recent Red Herring magazine article, writer Geoffrey James said “pundits can’t stop hyping the business opportunities of artificial intelligence” and described AI as a “technological backwater.” Ray Kurzweil challenges this view, citing “hundreds of examples of narrow AI deeply integrated into our information-based economy” and “many applications beginning to combine multiple methodologies,” a step towards the eventual achievement of “strong AI” (human-level intelligence in a machine).… read more
General intelligence comprises the essential, domain-independent skills necessary for acquiring a wide range of domain-specific knowledge — the ability to learn anything. Achieving this with “artificial general intelligence” (AGI) requires a highly adaptive, general-purpose system that can autonomously acquire an extremely wide range of specific knowledge and skills and can improve its own cognitive ability through self-directed learning. This chapter in the forthcoming book, Real AI: New Approaches to Artificial General Intelligence, describes the requirements and conceptual design of a prototype AGI system.… read more
There is a gigantic project yet to be done that will root psychology in natural science and providing a better understanding of human nature. Once this is accomplished, you’ll be able to go from phenomenology to information processing to the brain, down through the workings of the neurons, including the biochemistry, all the way to the biophysics and the way genes are up-regulated and down-regulated.… read more
Robert Freitas, author of the recently-published groundbreaking technical book Nanomedicine, reflects on how we might pay for very advanced medicine — or indeed, pay for anything at all — in a world where artificial molecular machine systems are commonplace. Hint: Perhaps we’ll be using coins made of tantalum or ununquadium!… read more
There’s a variety of proposed neural systems associated with conscious experience, but no way to directly observe or measure consciousness. Chalmers suggests though that there may be a “consciousness module” — a functional area responsible for the integration of information in the brain, with high-bandwidth communication between its parts.… read more
The idea that there are large-scale trends in the evolution of biological organisms, such as increasing complexity, is highly controversial. But Peter Turney presents a simple computational model showing that local adaptation to a dynamic, randomly changing environment results in a global trend towards increasing evolutionary versatility, which implies an accelerating evolutionary pace, and that this trend can continue without bound if there is sufficient ongoing change in the environment.… read more
Nobel prize winner physicist Richard Feynman played a critical role in developing the first parallel-processing computer and finding innovative uses for it in numerical computing and building neural networks as well as physical simulation with cellular-automata (such as turbulent fluid flow), working with Stephen Wolfram.… read more