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HomeArtificial IntelligenceAnalysis at Microsoft 2023: A yr of groundbreaking AI advances and discoveries

Analysis at Microsoft 2023: A yr of groundbreaking AI advances and discoveries


It isn’t usually that researchers on the slicing fringe of know-how see one thing that blows their minds. However that’s precisely what occurred in 2023, when AI specialists started interacting with GPT-4, a big language mannequin (LLM) created by researchers at OpenAI that was skilled at unprecedented scale. 

“I noticed some mind-blowing capabilities that I believed I wouldn’t see for a few years,” mentioned Ece Kamar, companion analysis supervisor at Microsoft, throughout a podcast recorded in April.

All year long, speedy advances in AI got here to dominate the public dialog (opens in new tab), as know-how leaders and ultimately most people voiced a mixture of marvel and skepticism after experimenting with GPT-4 and associated purposes. May we be seeing sparks of synthetic normal intelligence (opens in new tab)—informally outlined as AI techniques that “exhibit broad capabilities of intelligence, together with reasoning, planning, and the power to be taught from expertise (opens in new tab)”? 

Whereas the reply to that query isn’t but clear, we now have actually entered the period of AI, and it’s bringing profound modifications to the best way we work and stay. In 2023, AI emerged from the lab and delivered on a regular basis improvements that anybody can use. Hundreds of thousands of individuals now interact with AI-based companies like ChatGPT. Copilots (opens in new tab)—AI that helps with advanced duties starting from search to safety—are being woven into enterprise software program and companies.

Underpinning all of this innovation is years of analysis, together with the work of a whole bunch of world-class researchers at Microsoft, aided by scientists, engineers, and specialists throughout many associated fields. In 2023, AI’s transition from analysis to actuality started to speed up, creating extra tangible outcomes than ever earlier than. This submit appears to be like again on the progress of the previous yr, highlighting a sampling of the analysis and techniques that may help even larger progress in 2024.

Strengthening the foundations of AI

AI with optimistic societal affect is the sum of a number of integral transferring components, together with the AI fashions, the appliance of those fashions, and the infrastructure and requirements supporting their improvement and the event of the bigger techniques they underpin. Microsoft is redefining the cutting-edge throughout these areas with enhancements to mannequin effectivity, efficiency, and functionality; the introduction of recent frameworks and prompting methods that improve the usability of fashions; and greatest practices that contribute to sustainable and accountable AI. 

Advancing fashions 

  • Researchers launched Retentive Networks (RetNet), an alternative choice to the dominant transformer structure in language modeling. RetNet helps coaching parallelism and robust efficiency whereas making important positive factors in inference effectivity. 
  • To contribute to extra computationally environment friendly and sustainable language fashions, researchers introduced a 1-bit transformer structure known as BitNet.
  • Microsoft expanded its Phi household of small language fashions with the 2.7 billion-parameter Phi-2, which raises the bar in reasoning and language understanding amongst base fashions with as much as 13 billion parameters. Phi-2 additionally met or exceeded the efficiency of fashions 25 instances its measurement on advanced benchmarks.
  • The discharge of the language fashions Orca (13 billion parameters) and, a number of months later, Orca 2 (7 billion and 13 billion parameters) demonstrates how improved coaching strategies, resembling artificial knowledge creation, can elevate small mannequin reasoning to a stage on par with bigger fashions.
  • For AI experiences that extra intently replicate how folks create throughout mediums, Composable Diffusion (CoDi) takes as enter a mixture of modalities, resembling textual content, audio, and picture, and produces multimodal output, resembling video with synchronized audio.
  • To higher mannequin human reasoning and pace up response time, the brand new strategy Skeleton-of-Thought has LLMs break duties down into two components—creating an overview of a response and offering particulars on every level in parallel.

Advancing strategies for mannequin utilization

  • AutoGen is an open-source framework for simplifying the orchestration, optimization, and automation of LLM workflows to allow and streamline the creation of LLM-based purposes.
  • Medprompt, a composition of prompting methods, demonstrates that with considerate and superior prompting alone, normal basis fashions can outperform specialised fashions, providing a extra environment friendly and accessible various to fine-tuning on expert-curated knowledge.
  • The useful resource assortment promptbase affords prompting methods and instruments designed to assist optimize basis mannequin efficiency, together with Medprompt, which has been prolonged for software exterior of medication.
  • Geared toward addressing points related to prolonged inputs, resembling elevated response latency, LLMLingua is a prompt-compression technique that leverages small language fashions to take away pointless tokens.

Growing and sharing greatest practices 

Accelerating scientific exploration and discovery

Microsoft makes use of AI and different superior applied sciences to speed up and remodel scientific discovery, empowering researchers worldwide with modern instruments. Throughout international Microsoft analysis labs, specialists in machine studying, quantum physics, molecular biology, and lots of different disciplines are tackling urgent challenges within the pure and life sciences.

  • Due to the complexities arising from a number of variables and the inherently chaotic nature of climate, Microsoft is utilizing machine studying to reinforce the accuracy of subseasonal forecasts.
  • Distributional Graphormer (DIG) is a deep studying framework for predicting protein buildings with larger accuracy, a basic drawback in molecular science. This advance might assist ship breakthroughs in important analysis areas like supplies science and drug discovery.
  • Leveraging evolutionary-scale protein knowledge, the general-purpose diffusion framework EvoDiff helps design novel proteins extra effectively, which might assist within the improvement of commercial enzymes, together with for therapeutics.
  • MOFDiff, a coarse-grained diffusion mannequin, helps scientists refine the design of recent metal-organic frameworks (MOFs) for the low-cost elimination of carbon dioxide from air and different dilute gasoline streams. This innovation might play a significant position in slowing local weather change.
  • This episode of the Microsoft Analysis Podcast collection Collaborators explores analysis into renewable power storage techniques, particularly circulate batteries, and discusses how machine studying will help to determine compounds superb for storing waterpower and advancing carbon seize.
  • MatterGen is a diffusion mannequin particularly designed to deal with the central problem in supplies science by effectively producing novel, steady supplies with desired properties, resembling excessive conductivity for lithium-ion batteries.
  • Deep studying is poised to revolutionize the pure sciences, enhancing modeling and prediction of pure occurrences, ushering in a brand new period of scientific exploration, and resulting in important advances in sectors starting from drug improvement to renewable power. DeepSpeed4Science, a brand new Microsoft initiative, goals to construct distinctive capabilities by way of AI system know-how improvements to assist area specialists unlock immediately’s greatest science mysteries. 
  • Christopher Bishop, Microsoft technical fellow and director of the AI4Science group, just lately revealed Deep Studying: Foundations and Ideas, a guide that “affords a complete introduction to the concepts that underpin deep studying.” Bishop mentioned the motivation and course of behind the guide, in addition to deep studying’s affect on the pure sciences, within the AI Frontiers podcast collection.

Maximizing the person and societal advantages of AI

As AI fashions develop in functionality so, too, do alternatives to empower folks to attain extra, as demonstrated by Microsoft work in such domains as well being and training this yr. The corporate’s dedication to optimistic human affect requires that AI know-how be equitable and accessible.

Past AI: Main know-how innovation

Whereas AI rightly garners a lot consideration within the present analysis panorama, researchers at Microsoft are nonetheless making loads of progress throughout a spectrum of technical focus areas.

  • Mission Silica, a cloud-based storage system underpinned by quartz glass, is designed to offer sustainable and sturdy archival storage that’s theoretically able to lasting hundreds of years.
  • Mission Analog Iterative Machine (AIM) goals to unravel troublesome optimization issues—essential throughout industries resembling finance, logistics, transportation, power, healthcare, and manufacturing—in a well timed, energy-efficient, and cost-effective method. Its designers consider Mission AIM might outperform even probably the most highly effective digital computer systems.
  • Microsoft researchers proved that 3D telemedicine (3DTM), utilizing HoloportationTM communication know-how, might assist enhance healthcare supply, even throughout continents, in a singular collaboration with medical doctors and governments in Scotland and Ghana.
  • In one other collaboration that goals to assist enhance precision drugs, Microsoft labored with trade and educational colleagues to launch Terra, a safe, centralized, cloud-based platform for biomedical analysis on Microsoft Azure.
  • On the {hardware} entrance, Microsoft researchers are exploring sensor-enhanced headphones, outfitting them with controls that use head orientation and hand gestures to allow context-aware privateness, gestural audio-visual management, and animated avatars derived from pure physique language.

Collaborating throughout academia, industries, and disciplines

Cross-company and cross-disciplinary collaboration has at all times performed an essential position in analysis and much more in order AI continues to quickly advance. Massive fashions driving the progress are elements of bigger techniques that may ship the worth of AI to folks. Growing these techniques and the frameworks for figuring out their roles in folks’s lives and society requires the information and expertise of those that perceive the context during which they’ll function—area specialists, teachers, the people utilizing these techniques, and others.

Participating and supporting the bigger analysis group

All year long, Microsoft continued to have interaction with the broader analysis group on AI and past. The corporate’s sponsorship of and participation in key conferences not solely showcased its dedication to the appliance of AI in various technological domains but additionally underscored its unwavering help for cutting-edge developments and collaborative group involvement.

Purposeful programming

  • Microsoft was a proud sponsor of ICFP 2023, with analysis contributions overlaying a variety of useful programming matters, together with reminiscence optimization, language design, and software-development methods.

Human-computer interplay

  • At CHI 2023, Microsoft researchers and their collaborators demonstrated the myriad and various methods folks use computing immediately and can sooner or later. 

Massive language fashions and ML

  • Microsoft was a sponsor of ACL 2023, showcasing papers starting from equity in language fashions to pure language era and past.
  • Microsoft additionally sponsored NeurIPS 2023, publishing over 100 papers and conducting workshops on language fashions, deep studying methods, and extra ideas, strategies, and purposes addressing urgent points within the subject.
  • With its sponsorship of and contribution to ICML 2023, Microsoft showcased its funding in advancing the sector of machine studying.
  • Microsoft sponsored ML4H (opens in new tab) and took part in AfriCHI (opens in new tab) and EMNLP (opens in new tab), a number one convention in pure language processing and AI, highlighting its dedication to exploring how LLMs might be utilized to healthcare and different very important domains.

Programs and superior networking

Listeners’ selection: Notable podcasts for 2023

Thanks for studying

Microsoft achieved extraordinary milestones in 2023 and can proceed pushing the boundaries of innovation to assist form a future the place know-how serves humanity in exceptional methods. To remain abreast of the newest updates, subscribe to the Microsoft Analysis Publication (opens in new tab) and the Microsoft Analysis Podcast (opens in new tab). You too can observe us on Fb (opens in new tab), Instagram (opens in new tab), LinkedIn (opens in new tab), X (opens in new tab), and YouTube (opens in new tab). 

Writers, Editors, and Producers
Kristina Dodge
Kate Forster
Jessica Gartner
Alyssa Hughes
Gretchen Huizinga
Brenda Potts
Chris Stetkiewicz
Larry West

Managing Editor
Amber Tingle

Mission Supervisor
Amanda Melfi

Microsoft Analysis World Design Lead
Neeltje Berger

Graphic Designers
Adam Blythe
Harley Weber

Microsoft Analysis Artistic Studio Lead
Matt Corwine





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