Dataconomy

AUGUST 1, 2023

The research team from South Korea introduced their breakthrough material, LK-99, synthesized through a solid-state reaction between lanarkite (Pb2SO5) and copper phosphide (Cu3P). This structural distortion creates superconducting quantum wells (SQWs) in the cylindrical column interface of LK-99.

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IBM Journey to AI blog

JUNE 20, 2023

I grouped the episodes into three groups/themes: Research: What does a researcher do at IBM? What are areas of interest being pursued in research for hybrid cloud? I’ll start with the Research theme here and will create two more posts for the other two. What are their characteristics?

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Smart Data Collective

SEPTEMBER 30, 2021

From vaccines and autonomous vehicles to language processing and quantum computing, artificial intelligence has progressed significantly and ensured its central position in the future. This speed of vaccine development was also possible due to AI models that served researchers in analyzing vast amounts of coronavirus data.

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Dataconomy

APRIL 14, 2023

This question has been on the minds of researchers, engineers, and tech enthusiasts alike, as 5G technology continues to roll out around the world. Nevertheless, the potential benefits of 6G are so great that researchers and engineers around the world are working tirelessly to bring this technology to fruition. What is 5G?

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ODSC - Open Data Science

MARCH 12, 2024

This transformation is evident in several key areas, highlighting the profound impact of LLMs and generative AI on hardware development and energy consumption. That’s because the computational power required to train and run LLMs and generative AI is immense. Calls for Renewable Energy Integration But this isn’t going unnoticed.

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DrivenData Labs

MARCH 30, 2023

In Phase 3: Red Teaming , independent red teams of privacy researchers scrutinized and tested the blue team prototypes for privacy vulnerabilities. The evaluation harness measured solutions' computational resource usage—including runtime, memory, and simulated network load—which factored into the judging. You can meet the U.K.

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Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

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ODSC - Open Data Science

MAY 19, 2023

Many AI researchers agree that artificial general intelligence is becoming increasingly feasible. Should work in this area continue regardless of the potential dangers? Midjourney 5.1 Brings New Changes to AI Image Creation Midjourney has released a new version that promises significant changes in the quality and style of images.

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Google Research AI blog

FEBRUARY 7, 2023

Posted by Sanjiv Kumar, VP and Google Fellow, Google Research (This is Part 4 in our series of posts covering different topical areas of research at Google. This led to significant computational savings while giving competitive results on auto-regressive language modeling and open domain question answering tasks.

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Dataconomy

JUNE 12, 2023

Nano computers are incredibly tiny devices, typically operating at the nanoscale, which is on the order of billionths of a meter. So why are these computers the talk of the scientific world? Nano computers are set to revolutionize computing by offering significantly smaller devices capable of data representation and manipulation.

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Google Research AI blog

FEBRUARY 14, 2023

Posted by Kendra Byrne, Senior Product Manager, and Jie Tan, Staff Research Scientist, Robotics at Google (This is Part 6 in our series of posts covering different topical areas of research at Google. Unlike LLMs, robotics is challenged by multimodal representations of constantly changing environments and limited compute.

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Hacker News

FEBRUARY 24, 2024

Computers have grown more and more powerful over the decades by pushing the limits of how small their electronics can get. But just how big can a computer get? Could we turn a planet into a computer, and if so, what would we do with it? There are, of course, physical constraints on very large computers.

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Mlearning.ai

JUNE 25, 2023

Overview of Quantum Error Mitigation in NISQ through QML This article is part of our research under the guidance of Professor N.Geethanjali, Department of Computer Science & Technology, Sri Krishnadevaraya University, Andhra Pradesh State , INDIA. This article is covered in three sections.

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ODSC - Open Data Science

JULY 25, 2023

Job creation: Data centers can create jobs in the areas where they are located, but they can also lead to the displacement of jobs in other sectors, such as in manufacturing and retail. This can contribute to land use pressures in densely populated areas or lead to the conversion of natural areas, impacting local ecosystems.

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AWS Machine Learning Blog

AUGUST 3, 2023

Computer vision (CV) is one of the most common applications of machine learning (ML) and deep learning. In this post, we address areas where CV can be applied to use cases where the pose of objects, their position, and orientation is important. David focuses on digital twins, forecasting and quantum computation.

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Google Research AI blog

NOVEMBER 30, 2022

Posted by Alexander Zlokapa, Student Researcher, and Hartmut Neven, VP of Engineering, Quantum AI Team Wormholes — wrinkles in the fabric of spacetime that connect two disparate locations — may seem like the stuff of science fiction. Surprisingly, a quantum computer is an ideal platform to investigate this connection.

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Hacker News

SEPTEMBER 24, 2021

In 1958, back when mainframe computers filled rooms and ran on vacuum tubes, knowledge of the interconnections between neurons in the brain inspired. Moore's Law and other improvements in computer hardware yielded a roughly 10-million-fold increase in the number of computations that a computer could do in a second.

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Hacker News

JANUARY 9, 2024

we’ve been steadily delivering the fruits of our research and development in.1 And all those years we’ve been continuing to build a taller and taller tower of capabilities, progressively expanding the scope of our vision and the breadth of our computational coverage of the world: Version 1.0 of Wolfram Language and Mathematica.

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Google Research AI blog

FEBRUARY 28, 2023

Posted by Posted by Leslie Yeh, Director, University Relations (This is Part 9 in our series of posts covering different topical areas of research at Google. Sharing knowledge is essential to Google’s research philosophy — it accelerates technological progress and expands capabilities community-wide.

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Google Research AI blog

FEBRUARY 9, 2023

Posted by Ted White and Ofer Naaman, Staff Research Scientists, Google Quantum AI The Google Quantum AI team is building quantum computers with superconducting microwave circuits, but much like a classical computer the superconducting processor at the heart of these computers is only part of the story.

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Hacker News

FEBRUARY 3, 2023

Computational Foundations for the Second Law of Thermodynamics 2. But back in the 1980s, as I began to explore the computational universe of simple programs, I discovered a fundamental phenomenon that was immediately reminiscent of the Second Law. This is part 1 in a 3-part series about the Second Law: 1. How Did We Get Here?

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Data Science Dojo

AUGUST 24, 2023

This infrastructure is valuable in areas where accuracy, reproducibility, and reliability are critical, such as healthcare, finance, and self-driving cars. Although there is substantial overlap in the core functionalities provided by these tools, their unique implementations, execution methods, and focus areas set them apart.

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Hacker News

FEBRUARY 2, 2023

Computational Foundations for the Second Law of Thermodynamics (forthcoming) 2. But whenever I could I was learning more about physics—and particularly about the hot area of the time: particle physics. But it wasn’t long before I started hearing mentions that somewhere at the school there was a computer.

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Google Research AI blog

FEBRUARY 10, 2023

Posted by Vahab Mirrokni, VP and Google Fellow, Google Research (This is Part 5 in our series of posts covering different topical areas of research at Google. Google Research has been at the forefront of this effort, developing many innovations from privacy-safe recommendation systems to scalable solutions for large-scale ML.

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Google Research AI blog

JANUARY 18, 2023

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series.

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ODSC - Open Data Science

MARCH 5, 2024

The Evolution of AI Investment The journey of AI from theoretical research to a core driver of technological innovation has been marked by significant milestones. Because of this, the expected CAGR of both computer chips and AI-powered software is predicted to see a massive jump in growth above thirty percent through 2031.

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Chatbots Life

MAY 12, 2023

Unfortunately, the model’s release wasn’t accompanied by a research paper, and its only official description can be found on the OpenAI blog. Fortunately, InstructGPT was released with a research paper , so we can shed some more light on the inner workings of the model. · Conclusions What is ChatGPT?

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AssemblyAI

MARCH 7, 2023

The scaling process - training bigger models on more data with greater compute - leads to steady and predictable improvements in their ability to learn these patterns, which can be observed in improvements to quantitative metrics. Emergent phenomena like these constitute huge areas of research and potential avenues to advanced technologies.

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IBM Journey to AI blog

JUNE 28, 2023

Analytical requirements: Once the data has been brought onto a single platform, and the tools have been assembled into a pipeline, computational techniques must be deployed to interpret data. gene expression; microbiome data) and any tabular data (e.g., clinical) using a range of machine learning models.

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Google Research AI blog

FEBRUARY 2, 2023

Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, and Adam Paszke, Staff Research Scientist, Google Research (This is Part 3 in our series of posts covering different topical areas of research at Google. Great machine learning (ML) research requires great systems.

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Snorkel AI

APRIL 18, 2023

Prasanna Balaprakash, research and development lead from Argonne National Laboratory gave a presentation entitled “Extracting the Impact of Climate Change from Scientific Literature using Snorkel-Enabled NLP” at Snorkel AI’s Future of Data-Centric AI Workshop in August, 2022. The computer scientists are not experts in climate hazards.

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Snorkel AI

APRIL 18, 2023

Prasanna Balaprakash, research and development lead from Argonne National Laboratory gave a presentation entitled “Extracting the Impact of Climate Change from Scientific Literature using Snorkel-Enabled NLP” at Snorkel AI’s Future of Data-Centric AI Workshop in August, 2022. The computer scientists are not experts in climate hazards.

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IBM Journey to AI blog

MARCH 13, 2024

Our research shows that 42% of large enterprises have AI actively deployed while another 40% are in the experimentation phase (source: IBM Global AI Adoption Index ). The increased competition will help level the playing field for companies of all sizes, regardless of their access to data and compute resources.

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ODSC - Open Data Science

DECEMBER 18, 2023

Sure, AI is now in the hands of the everyday computer user, but I didn’t expect it to be used to the point of controversy and at times, disdain. Quantum AI Lastly, as technology improves, so will the potential of AI. Well, I’m going to try again anyway. What’s Next? Well…who knows?

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Google Research AI blog

JANUARY 24, 2023

Posted by Marian Croak, VP, Google Research, Responsible AI and Human-Centered Technology The last year showed tremendous breakthroughs in artificial intelligence (AI), particularly in large language models (LLMs) and text-to-image models. This poses a risk to ML system developers, and demands new model evaluation practices.

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