IBM Research Editorial Staff

Delta-Encoder: Synthesizing a Full Set of Samples From One Image

Delta-encoder is a novel approach for few- and one-shot object recognition, in which a modified auto-encoder (called delta-encoder) extracts transferable intra-class deformations (deltas) between same-class pairs of training examples, then applies them to a few examples of a new class (unseen during training) to efficiently synthesize samples from that class. The synthesized samples are then […]

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Scalable Forecasts for IoT in the Cloud

This week at the International Conference on Data Mining, IBM Research-Ireland scientist Francesco Fusco demonstrated IBM Research Castor, a system for managing time series data and models at scale and on the cloud. Businesses of today run on forecasts. Whether a hunch of what we think is going to happen or the product of carefully […]

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IBM Research AI at 2018 Conference on Neural Information Processing Systems

At the Thirty-Second Conference on Neural Information Processing Systems in Montreal, IBM Research AI will share new ideas and results across our portfolio of research aimed at progressing AI towards real-world challenges. Throughout the week, we will present dozens of papers and demos showcasing our work, as listed below. In addition, we will highlight three […]

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Enabling Fabrication Beyond 7nm

How did we get from the Palm Pilots of the 90s to the ultra-powerful smart phones of today? In large part, because of scaling, where integrated circuits are made with smaller feature sizes fitting more and more circuit elements in the same area of silicon at each technology generation. This sets our expectations that in […]

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The Pockels Effect on Silicon: A New Material for Ultra-Fast Data Transfer

As data grows, so does the energy consumption required to store and process it, which is why scientists around the world are turning to light (photonics) as a means of moving data. The Pockels effect, an important phenomenon in certain materials, allows changing the optical properties of the material through an electrical stimulus. The effect […]

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Addressing Climate Change at a Major Source: Buildings

Can silica gel desiccant packs, often found in shoe boxes and electronics, be the answer to our energy challenges for buildings? A four-year project proves yes, sort of. According to the European Commission, heating and cooling in buildings and industry accounts for half of the EU’s energy consumption, and fossil fuels generate 84 percent of […]

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Evolving Speech and AI as the Window into Mental Health

Mental health and neurological disorders are a growing epidemic. In the U.S., nearly one in every five people has a mental health condition (1). Yet there is a growing shortage of mental health professionals to adequately treat this need. By 2025, it’s estimated that demand for psychiatrists may outstrip supply by up to 15,600 psychiatrists […]

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Learning Chinese-Specific Encoding for Phonetic Similarity

Performing the mental gymnastics of making the phoenetic distinction between words and phrases such as “I’m hear” to ‘I’m here’ or “I can’t so but tons” to “I can’t sew buttons,” is familiar to anyone who has encountered autocorrected text messages, punny social media posts and the like. Although at first glance it may seem […]

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In Tune With the Heart of a Copper Atom

Our team at IBM Research developed a new technique to control the magnetism of a single copper atom, a technology that could one day allow individual atomic nuclei to store and process information. In a paper published today in the journal Nature Nanotechnology, our team demonstrated that we can control the magnetism of a single […]

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Graph2Seq: A Generalized Seq2Seq Model for Graph Inputs

In a recent paper “Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks,” we describe a general end-to-end Graph-to-Sequence attention-based neural encoder-decoder architecture that encodes an input graph and decodes the target sequence. Graph encoder and attention-based decoder are two important building blocks in the development and widespread acceptance of machine learning solutions. Two of […]

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Word Mover’s Embedding: Universal Text Embedding from Word2Vec

Text representation plays an important role in many natural language processing (NLP) tasks such as document classification and clustering, sense disambiguation, machine translation, and document matching. Since there are no explicit features in text, developing effective text representations is an important goal in AI and NLP research. A fundamental challenge in this respect is learning […]

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Breaking 50: The Kenyan Government & IBM Research Collaborate to Improve the Country’s Ease of Doing Business Ranking

Updated:  31 October with 2019 Rankings Today, the World Bank released its annual Doing Business ranking of the world’s economies and Kenya has again improved to 61 from 80 last year and 92 the year before. Kenya was also ranked 7th on the list of improvers, which highlights economies improving the most across three or […]

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