What's New: Today, Intel announced it will acquire SigOpt, a San Francisco-based provider of a leading platform for the optimization of artificial intelligence (AI) software models at scale. SigOpt's AI software technologies deliver productivity and performance gains across hardware and software parameters, use cases and workloads in deep learning, machine learning and data analytics. Intel plans to use SigOpt's software technologies across Intel's AI hardware products to help accelerate, amplify and scale Intel's AI software solution offerings to developers. "In the new intelligence era, AI is driving the compute needs of the future. It is even more important for software to automatically extract the best compute performance while scaling AI models. SigOpt's AI software platform and data science talent will augment Intel software, architecture, product offerings and teams, and provide us with valuable customer insights. We welcome the SigOpt team and its customers to the Intel family."
Nine philosophers explore the various issues and questions raised by the newly released language model, GPT-3, in this edition of Philosophers On, guest edited by Annette Zimmermann. Introduction Annette Zimmermann, guest editor GPT-3, a powerful, 175 billion parameter language model developed recently by OpenAI, has been galvanizing public debate and controversy. As the MIT Technology Review puts it: “OpenAI’s new language generator GPT-3 is shockingly good—and completely mindless”. Parts of the technology community hope (and fear) that GPT-3 could brings us one step closer to the hypothetical future possibility of human-like, highly sophisticated artificial general intelligence (AGI). Meanwhile, others (including OpenAI’s own CEO) have critiqued claims about GPT-3’s ostensible proximity to AGI, arguing that they are vastly overstated. Why the hype? As is turns out, GPT-3 is unlike other natural language processing (NLP) systems, the latter of which often struggle with what comes comparatively easily to humans: performing entirely new language tasks based on a few simple instructions and examples. Instead, NLP systems usually have to be pre-trained on a large corpus of text, and then fine-tuned in order to successfully perform a specific task. GPT-3, by contrast, does not require fine tuning of this kind: it seems to be able to perform a whole range of tasks reasonably well, from producing fiction, poetry, and press releases to functioning code, and from music, jokes, and technical manuals, to “news articles which human evaluators have difficulty distinguishing from articles written by humans”. The Philosophers On series contains group posts on issues of current interest, with the aim being to show what the careful thinking characteristic of philosophers (and occasionally scholars in related fields) can bring to popular ongoing conversations. Contributors present not fully worked out position papers but rather brief thoughts that can serve as prompts for further reflection and discussion. The contributors to this installment of “Philosophers On” are Amanda Askell (Research Scientist, OpenAI), David Chalmers (Professor of Philosophy, New York University), Justin Khoo (Associate Professor of Philosophy, Massachusetts Institute of Technology), Carlos Montemayor (Professor of Philosophy, San Francisco State University), C. Thi Nguyen (Associate Professor of Philosophy, University of Utah), Regina Rini (Canada Research Chair in Philosophy of Moral and Social Cognition, York University), Henry Shevlin (Research Associate, Leverhulme Centre for..
SAN FRANCISCO–(BUSINESS WIRE)–Databricks, the leader in unified data analytics, today announced keynote speakers alongside expanded technical content and training at Spark AI Summit which is taking place June 22 – 25 in San Francisco. To support continuous innovation and expansion of the conference content, Spark AI Summit welcomes Ben Lorica as the Program Chair. Spark AI Summit is the largest data and machine learning conference bringing together engineers, scientists, developers, analysts and leaders from around the world. "Over four days we'll gather the greatest minds in our industry to shape the future of big data, analytics and AI and share knowledge through training, over 180 talks and networking events. Spark AI Summit has become the destination for data teams to collaborate on solutions to solve the world's toughest problems," said Ali Ghodsi, cofounder and CEO at Databricks.
LEHI, Utah & SAN FRANCISCO--(BUSINESS WIRE)--Today, Ancestry, the global leader in family history and consumer genomics, is releasing the new Newspapers.com Obituary Collection and announcing an upgrade to its U.S. Obituary Collection, adding to what is now the world's largest, searchable digital archive of over 262 million worldwide obituaries and death announcements, containing almost 1 billion searchable family members. Obituaries are one of the most comprehensive records available about an ancestor. An obituary can act like a'starter kit' for family history -- it can include places of birth, marriage, occupation, residence, and family members, and may even suggest burial site location. One-third of Americans are unable to name all four of their grandparents,* but obituaries offer one of the easiest ways to understand recent family history and launch a journey of personal discovery.
SAN FRANCISCO, Oct. 24, 2019 (GLOBE NEWSWIRE) -- MICRON INSIGHT -- Micron Technology, Inc. (Nasdaq: MU), today announced a powerful new set of high-performance hardware and software tools for deep learning applications with the acquisition of FWDNXT, a software and hardware startup. When combined with advanced Micron memory, FWDNXT's (pronounced "forward next") artificial intelligence (AI) hardware and software technology enables Micron to explore deep learning solutions required for data analytics, particularly in IoT and edge computing. With this acquisition, Micron is integrating compute, memory, tools and software into a comprehensive AI development platform. This platform in turn provides the key building blocks required to explore innovative memory optimized for AI workloads. "FWDNXT is an architecture designed to create fast-time-to-market edge AI solutions through an extremely easy to use software framework with broad modeling support and flexibility," said Micron Executive Vice President and Chief Business Officer Sumit Sadana.
H2O WORLD SAN FRANCISCO – H2O.ai, the open source leader in AI and ML, today announced new and innovative capabilities for its data science and machine learning platforms, H2O, AutoML and H2O Driverless AI, to address the critical scalability and performance needs of all organizations. As part of these new capabilities, and to further the company's mission to democratize AI, H2O.ai has added several new algorithms that address common use cases that customers need today. In addition, H2O Driverless AI is a winner of InfoWorld's 2019 Technology of the Year for the second year in a row. The award honors and recognizes the best in software development, cloud computing, big data analytics, and machine learning tools. This year's judging panel recognized H2O Driverless AI for outpacing all other vendors with "automated simplicity" of its algorithms that do the heavy lifting of feature engineering, model selection, training and optimization – enabling even non-AI experts to uncover hidden patterns using both supervised and unsupervised machine learning.
The use of fake news stories for political disinformation has become a major concern for governments around the world in the wake of the 2016 U.S. presidential election. The Federal Bureau of Investigation concluded Russia used false news reports, spread through social media, to try to sway voters. Writing these stories still needed someone to sit behind a keyboard. Now OpenAI, a non-profit artificial intelligence research group in San Francisco, has unveiled a machine learning algorithm that can generate coherent text, including fake news articles, after being given just a small sample to build on. The algorithm can be tuned to imitate the writing style of the sample text.
Clients across all industry sectors will be served by a new specialty practice in Artificial Intelligence (AI) at Heidrick & Struggles (Nasdaq: HSII), a premier provider of executive search, leadership assessment and development, organization and team effectiveness, and culture shaping services globally. Machine learning and other advanced forms of AI can help companies in every sector move beyond process automation that has helped drive efficiency and growth. Integrating and optimizing adaptive changes made possible by AI can provide massive competitive advantage. But there is a critical shortage of leaders with the ability to apply a deep understanding of AI to completely rethink and transform an organization's business model. Led by Ryan Bulkoski, a San Francisco-based partner, Heidrick & Struggles' AI Specialty Practice will help clients identify and develop senior talent needed to bring the power of emerging technologies to their business.
Exactly 50 years ago today, the Monterey Pop Festival opened its gates and kicked off what later became known as the San Francisco "Summer of Love." To celebrate the anniversary, Northern Light (www.northernlight.com) is unveiling two radical innovations in strategic market research portals that it will begin delivering to customers this summer. This announcement marks the beginning of Northern Light's "Summer of Love (For Our Customers)." The innovations are embedded in SinglePoint version 11, a new release of Northern Light's strategic research platform for competitive intelligence and market research insights used by hundreds of thousands of professionals at global enterprises. Version 11 features a mobile-first, responsive user interface built with Material Design, Google's set of state-of-the art application interface principles, guidelines, and UI treatments that are becoming an industry standard for web application design.