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Lisp machine - Wikipedia

#artificialintelligence

Lisp machines are general-purpose computers designed to efficiently run Lisp as their main software and programming language, usually via hardware support. They are an example of a high-level language computer architecture, and in a sense, they were the first commercial single-user workstations. Despite being modest in number (perhaps 7,000 units total as of 1988[1]), Lisp machines commercially pioneered many now-commonplace technologies, including effective garbage collection, laser printing, windowing systems, computer mice, high-resolution bit-mapped raster graphics, computer graphic rendering, and networking innovations such as Chaosnet.[citation The operating systems were written in Lisp Machine Lisp, Interlisp (Xerox), and later partly in Common Lisp. Artificial intelligence (AI) computer programs of the 1960s and 1970s intrinsically required what was then considered a huge amount of computer power, as measured in processor time and memory space.


GPT-3 Creative Fiction

#artificialintelligence

What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.


Health State Estimation

arXiv.org Artificial Intelligence

Life's most valuable asset is health. Continuously understanding the state of our health and modeling how it evolves is essential if we wish to improve it. Given the opportunity that people live with more data about their life today than any other time in history, the challenge rests in interweaving this data with the growing body of knowledge to compute and model the health state of an individual continually. This dissertation presents an approach to build a personal model and dynamically estimate the health state of an individual by fusing multi-modal data and domain knowledge. The system is stitched together from four essential abstraction elements: 1. the events in our life, 2. the layers of our biological systems (from molecular to an organism), 3. the functional utilities that arise from biological underpinnings, and 4. how we interact with these utilities in the reality of daily life. Connecting these four elements via graph network blocks forms the backbone by which we instantiate a digital twin of an individual. Edges and nodes in this graph structure are then regularly updated with learning techniques as data is continuously digested. Experiments demonstrate the use of dense and heterogeneous real-world data from a variety of personal and environmental sensors to monitor individual cardiovascular health state. State estimation and individual modeling is the fundamental basis to depart from disease-oriented approaches to a total health continuum paradigm. Precision in predicting health requires understanding state trajectory. By encasing this estimation within a navigational approach, a systematic guidance framework can plan actions to transition a current state towards a desired one. This work concludes by presenting this framework of combining the health state and personal graph model to perpetually plan and assist us in living life towards our goals.


Quantum Orchestration Platform: A virtual machine for quantum computing ZDNet

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We would not blame you if you've never heard of Quantum Machines before -- we had not either. Quantum Machines is an Israeli startup, funded with $5.5 million by Battery Ventures and TLV Partners, and founded by three physics PhDs: Itamar Sivan, Yonatan Cohen, and Nissim Ofek. They all spent many years in top universities working on the cutting-edge of quantum computing. All three of them began their PhDs with the expectation of continuing along the academic path. During their doctoral studies, however, Cohen and Sivan were part of the founding team of the Weizmann Institute Entrepreneurship Program.


My Programming Start

#artificialintelligence

I started my programming journey recently, having used computers only before for work, gaming, and the one high-school Maya animation class. I upgraded from an old PC to a new Maingear custom built PC, good for gaming and work. I wanted to learn how to code, find work as a developer, and learn the best programming languages of 2019. I looked at bootcamps and online certifications, but the cost of these degrees, their length and commitment, and the fact that their curriculum is not always up-to-date, made me decide to go the self-taught way. I found a lot of media and tutorials offering to get me started, and trusting reviews for FreeCodeCamp.org,


Programming & Hardware R-tificialIntelligence

#artificialintelligence

I started my programming journey recently, having used computers only before for work, gaming, and the one high-school Maya animation class. I first looked at bootcamps and online degrees, but the cost of these programs, their length and commitment, and the fact that their curriculum is not always up-to-date, made me decide to go the self-taught way. I found a lot of media and tutorials offering to get me started, and trusting reviews for FreeCodeCamp.org, I completed their HTML, CSS, and Javascript components in about three weeks. I found it very intuitive in getting started.


Atos and C-DAC Sign Cooperation Agreement

#artificialintelligence

C-DAC (Centre for Development of Advanced Computing), a national premier R&D organization under Ministry of Electronics and Information Technology, Government of India, and Atos1, a global leader in digital transformation, today announce that they have signed a Cooperation Agreement for technology advancement in the areas of Quantum Computing, Artificial Intelligence and Exascale Computing. Dr Hemant Darbari, Founder Member and Director General, C-DAC, India is spearheading the C-DAC Mission Mode Programs on Exascale Computing, Microprocessor and Quantum Computing, Artificial Intelligence and Natural Language Computing of national importance. In addition to delivering an Atos' Quantum Learning Machine, the world's highest-performing commercially available quantum simulator, this partnership encompasses the creation of a'Quantum Computing Experience Center' at C-DAC's headquarters in Pune. It aims to bring together users from academic, scientific, research and industry to rapidly acquire skills and develop further expertise in the field of quantum computing with the support from the Government of India. This center will enable advance study of applications of quantum theory, thereby creating new technologies and platforms for information security, connectivity and computing.


Atos and C-DAC Sign Cooperation Agreement

#artificialintelligence

C-DAC (Centre for Development of Advanced Computing), a national premier R&D organization under Ministry of Electronics and Information Technology, Government of India, and Atos1, a global leader in digital transformation, today announce that they have signed a Cooperation Agreement for technology advancement in the areas of Quantum Computing, Artificial Intelligence and Exascale Computing. Dr Hemant Darbari, Founder Member and Director General, C-DAC, India is spearheading the C-DAC Mission Mode Programs on Exascale Computing, Microprocessor and Quantum Computing, Artificial Intelligence and Natural Language Computing of national importance. In addition to delivering an Atos' Quantum Learning Machine, the world's highest-performing commercially available quantum simulator, this partnership encompasses the creation of a'Quantum Computing Experience Center' at C-DAC's headquarters in Pune. It aims to bring together users from academic, scientific, research and industry to rapidly acquire skills and develop further expertise in the field of quantum computing with the support from the Government of India. This center will enable advance study of applications of quantum theory, thereby creating new technologies and platforms for information security, connectivity and computing.


The information our brain needs to learn a language could almost fit on a floppy disk

Daily Mail - Science & tech

To master English as a native speaker, the average adult has to learn almost as much information as the contents of a full floppy disk, experts estimate. That amount of information translates to 12.5 million bits or roughly 1.5 megabytes (mb), while the iconic storage device holds 1.44mb of information. The data is mostly in the form of word definitions rather than complex structures like grammar. This is the first time that researchers have tried try to work out the amount of information our brains need to store in order to master a single language. Researchers from the University of Rochester in New York analysed different aspects of language learning and found the average learner acquires nearly 2,000 bits of information about how language works daily.


A New Golden Age for Computer Architecture

Communications of the ACM

We began our Turing Lecture June 4, 201811 with a review of computer architecture since the 1960s. In addition to that review, here, we highlight current challenges and identify future opportunities, projecting another golden age for the field of computer architecture in the next decade, much like the 1980s when we did the research that led to our award, delivering gains in cost, energy, and security, as well as performance. "Those who cannot remember the past are condemned to repeat it."--George Software talks to hardware through a vocabulary called an instruction set architecture (ISA). By the early 1960s, IBM had four incompatible lines of computers, each with its own ISA, software stack, I/O system, and market niche--targeting small business, large business, scientific, and real time, respectively. IBM engineers, including ACM A.M. Turing Award laureate Fred Brooks, Jr., thought they could create a single ISA that would efficiently unify all four of these ISA bases. They needed a technical solution for how computers as inexpensive as those with 8-bit data paths and as fast as those with 64-bit data paths could share a single ISA. The data paths are the "brawn" of the processor in that they perform the arithmetic but are relatively easy to "widen" or "narrow." The greatest challenge for computer designers then and now is the "brains" of the processor--the control hardware. Inspired by software programming, computing pioneer and Turing laureate Maurice Wilkes proposed how to simplify control. Control was specified as a two-dimensional array he called a "control store." Each column of the array corresponded to one control line, each row was a microinstruction, and writing microinstructions was called microprogramming.39 A control store contains an ISA interpreter written using microinstructions, so execution of a conventional instruction takes several microinstructions. The control store was implemented through memory, which was much less costly than logic gates. The table here lists four models of the new System/360 ISA IBM announced April 7, 1964. The data paths vary by a factor of 8, memory capacity by a factor of 16, clock rate by nearly 4, performance by 50, and cost by nearly 6.