Unite.AI

SEPTEMBER 12, 2024

Yehuda was also a co-founder of the software company ExploreGate, where he served as CEO from 2012 to 2016, as well as co-founder of MobileAccess, where he served as President of the company through its acquisition by Corning Incorporated In 2011. Can you explain the advantages of lean edge processing in Cipia’s solutions?

Computer Vision 278

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Unite.AI

OCTOBER 29, 2024

Nfinite, a company he established in 2016 after encountering challenges while decorating his first apartment. Could you explain the role of human designers in your proprietary process of creating 3D visual assets? This versatility makes our assets unique, serving both commercial retail needs and cutting-edge AI development.

Metadata 261

Metadata AI Modeling Robotics Artificial Intelligence 261

Flipboard

APRIL 26, 2023

Nearly all of them have 'Zaha Hadid' in the prompting with various sorts of attributes and programmatic suggestions, etcetera," Schumacher explained. "I In 2016 he caused consternation by calling for social housing and public space to be scrapped during a keynote speech at the World Architecture Festival.

AI 182

AI AI Artificial Intelligence Artificial Intelligence 182

Marktechpost

NOVEMBER 3, 2023

However, ensuring explainability remains challenging, as clear explanations of fact-checking verdicts are crucial for journalistic use. Hoaxes triggered this surge during significant events like the 2016 US presidential election and the Brexit referendum. More explainability in these models is a challenge in journalistic applications.

Large Language Models 122

Large Language Models LLM Explainability Automation 122

Flipboard

APRIL 27, 2023

” Based in San Francisco, Replit was co-founded by programmers Amjad Masad, Faris Masad and designer Haya Odeh in 2016. Ghostwriter — much like GitHub’s Copilot — can make suggestions and explain code, considering what users type and other context from their accounts, like the programming languages they’re using.

Software Development 139

Software Development Software Engineer Generative AI Explainability 139

NVIDIA

NOVEMBER 18, 2024

Milestones like Tokyo Tech’s Tsubame supercomputer in 2008, the Oak Ridge National Laboratory’s Titan supercomputer in 2012 and the AI-focused NVIDIA DGX-1 delivered to OpenAI in 2016 highlight NVIDIA’s transformative role in the field. Since CUDA’s inception, we’ve driven down the cost of computing by a millionfold,” Huang said.

Neural Network 145

Neural Network AI AI Explainability 145

Unite.AI

JUNE 15, 2023

Another crucial part of guardrails is transparency – making sure that decisions made by AI systems can be understood and explained. Launched on Twitter in 2016, Tay was designed to interact with users and learn from their conversations. Let's delve into two notable examples to illustrate this point.

AI 275

AI AI Generative AI AI Chatbots 275

Marktechpost

NOVEMBER 23, 2023

For example, the first Apple iOS Developer Academy in 2016, the Cisco Digital. The company incubates projects to revolutionize industry verticals with transformative, explainable, and impactful AI, having conducted EU-funded projects in Healthcare, Ethics, and Energy. For more information on Real AI B.V., please visit www.realai.eu.

Large Language Models 126

Large Language Models LLM AI AI 126

Unite.AI

JULY 3, 2023

Prior to KPMG, he led Prevalent to become a Gartner and Forrester industry leader in 3rd party risk management before its sale to Insight Venture Partners in late 2016. Jonathan is a former Partner at KPMG, cyber security industry leader, and visionary. How does Cranium AI assist companies with abiding by this Bill of Rights?

Responsible AI 162

Responsible AI AI AI Explainability 162

Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Explainability techniques aim to reveal the inner workings of AI systems by offering insights into their predictions. What is Explainability?

Explainability 52

Explainability Machine Learning Deep Learning Explainable AI 52

Unite.AI

SEPTEMBER 12, 2023

Founded by Eric Jang in 2016, DeepBrain AI is an innovative technology company specializing in AI-driven video synthesis solutions. Either way, Synthesys is perfect for generating explainer videos and product tutorials in minutes. So sit back, relax, and let's learn all about DeepBrain AI and its features! What is DeepBrain AI?

AI 290

AI AI ChatGPT AI Modeling 290

NYU Center for Data Science

AUGUST 16, 2024

I would work on data very directly, without relying on complex models,” Sah explained. He also gained experience as a Research Intern at the American Enterprise Institute in 2016, where he utilized Stata to analyze large loan datasets and created heat maps using ArcGIS for a paper on government lending practices.

Data Science 80

Data Science Explainability Machine Learning 80

Viso.ai

NOVEMBER 27, 2024

When the first YOLO was developed by Joseph Redmon and Ali Farhadi back in 2016, it overcame most problems with traditional object detection algorithms, with a new and enhanced architecture. Improved Explainability : Making the model’s decision-making process more transparent. Architecture The Architecture of YOLOv1.

Explainability 52

Explainability Convolutional Neural Networks Neural Network Computer Vision 52

Viso.ai

MAY 7, 2024

Inceptin v3 – source Inception v4, Inception-ResNet v2 (2016): This version of Inception introduced residual connections (inspired by ResNet) into the Inception lineage, which led to further performance improvements. Xception (2017): Xception replaced Inception modules with depth-wise separable convolutions.

Explainability 52

Explainability Convolutional Neural Networks Neural Network Deep Learning 52

Viso.ai

MARCH 11, 2024

Anchors used in YOLO – source In 2016, YOLOv2 introduced anchors, which became widely used until the emergence of YOLOX and its popularization of anchorless design. The post YOLOX Explained: Features, Architecture and Applications appeared first on viso.ai.

Explainability 52

Explainability Convolutional Neural Networks Neural Network Computer Vision 52

Unite.AI

NOVEMBER 20, 2024

In 2016, as I was beginning my radiology residency, DeepMind's AlphaGo defeated world champion Go player Lee Sedol. Teaching radiology residents has sharpened my ability to explain complex ideas clearly, which is key when bridging the gap between AI technology and its real-world use in healthcare.

Robotics 130

Robotics AI AI Computer Vision 130

NVIDIA

DECEMBER 11, 2023

Launched in 2016, this free global program offers technology and marketing support to over 17,000 startups across multiple industries and over 125 countries. NVIDIA Inception: Supporting Startups and Connecting Them to Investors In addition, we’re continuing to support startups with NVIDIA Inception.

Robotics 145

Robotics Automation AI AI 145

NVIDIA

JUNE 5, 2023

Opening the Lab Doors In 2016, Girone was named CTO of CERN openlab, a group that gathers academic and industry researchers to accelerate innovation and tackle future computing challenges. In their presentations, physicists explained the challenges ahead. “By Industry participation was strong and enthusiastic about the technology.

AI 106

AI AI Machine Learning Explainability 106

Unite.AI

FEBRUARY 16, 2024

For example, see Face-to-Face Interaction with Pedagogical Agents, Twenty Years Later , a 2016 article that overviews the field and cites a lot of the relevant material. Children download the App and convince parents to pay for a subscription, explaining that Buddy is a teacher.

Natural Language Processing 173

Natural Language Processing AI AI UX Design 173

NVIDIA

SEPTEMBER 21, 2023

In 2016, NVIDIA hand-delivered to OpenAI the first NVIDIA DGX AI supercomputer — the engine behind the LLM breakthrough powering ChatGPT. But what role did the GPU play in enabling AI in the cloud? NVIDIA GPUs have transformed cloud services. These advanced systems power everything from voice recognition to autonomous factory operations.

LLM 144

LLM AI AI Chatbots 144

Unite.AI

AUGUST 5, 2024

I received my masters in Civil/Environmental Engineering from Stanford University in 2016. Can you explain the process of training AI models with field-tested data from vital infrastructure sites? This experience was invaluable and built my exposure to a diverse range of artificial intelligence and machine learning projects early on.

Machine Learning 147

Machine Learning Artificial Intelligence Artificial Intelligence Computer Vision 147

Unite.AI

AUGUST 1, 2024

Can you explain the key features and benefits of Pimloc's Secure Redact privacy platform? Similar to the European Union’s General Data Protection Regulation (GDPR) enacted in 2016, APRA focuses on safeguarding personal information and empowering individuals with greater control over their data, including video data.

Machine Learning 147

Machine Learning Deep Learning Automation Computer Vision 147

Unite.AI

JULY 8, 2024

Prior to Zingtree, Brandon led Product, User Experience and Analytics at SportsEngine, a B2B and B2B2C SaaS company which was acquired by NBC Sports in 2016. Could you explain the core function of Zingtree's AI-enabled support automation platform and how it differentiates itself from other solutions in the market?

Automation 130

Automation Chatbots Algorithm Large Language Models 130

Unite.AI

JULY 24, 2023

The YOLO concept was first introduced in 2016 by Joseph Redmon, and it was the talk of the town almost instantly because it was much quicker, and much more accurate than the existing object detection algorithms. There are three steps that explain how a YOLO algorithm works. What is YOLO? How Does YOLO Work?

Algorithm 130

Algorithm Computer Vision Explainability Neural Network 130

Topbots

JUNE 22, 2023

Also, since at least 2018, the American agency DARPA has delved into the significance of bringing explainability to AI decisions. Outstandingly, ChatPGT presents such a capacity: it can explain its decisions. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 595–605. Hamilton, W.

Machine Learning 107

Machine Learning ChatGPT Natural Language Processing Categorization 107

Unite.AI

JUNE 17, 2024

However, the real turning point for me was around 2015-2016, when AI started making headline news with breakthroughs like AlphaGo defeating the world champion in the complex game of Go. This may involve techniques like “model explainability” and fairness testing, as well as having human oversight and accountability for AI-driven decisions.

Automation 147

Automation Artificial Intelligence Artificial Intelligence Generative AI 147

Towards AI

FEBRUARY 14, 2023

We will explain the reasons for the decisions made and use part of the recommendations that we have seen, which have already been established as a standard. Thus, we will create a GAN correctly optimized for the Dataset used. We will create a complete GAN model after seeing the theory and the separate code of each step.

Explainability 98

Explainability ChatGPT AI AI 98

Explosion

NOVEMBER 9, 2016

This post explains the components of this new approach, and shows how they’re put together in two recent systems. 2016) introduce an attention mechanism that takes two sentence matrices, and outputs a single vector: Yang et al. 2016) introduce an attention mechanism that takes a single matrix and outputs a single vector.

Deep Learning 52

Deep Learning NLP Convolutional Neural Networks Neural Network 52

AI Impacts

FEBRUARY 1, 2023

But this model, on its own, is inadequate for AI, for reasons I will explain in the next section. 5 I will not explain this problem in detail, but I will list some aspects of it here, along with real-world examples, and you can read more about it elsewhere. Preprint posted online June 21, 2016. New York, NY: W.W. link] 7 Ngo R.

AI 130

AI AI OpenAI Large Language Models 130

Pickl AI

APRIL 8, 2024

Example In 2016, an investigation by ProPublica revealed that a risk assessment algorithm used in US courts to predict recidivism rates was biased against Black defendants. Example In 2016, a chatbot developed by Microsoft called Tay was launched on Twitter. How Can We Ensure the Transparency of AI Systems?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Algorithm AI 52

Chatbots Life

MARCH 17, 2023

million in 2016 to more than $36.8 Then send us an email for a free discovery call and an explainer on our development services. This is where artificial intelligence (AI) comes in. Global AI revenue is expected to increase from $643.7 billion in 2025, according to marketing research firm Tractica.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Chatbots AI Chatbots 52

DataRobot Blog

FEBRUARY 16, 2022

A 2016 paper that sought to explain integrated care , laid out four different definitions and five different conceptual frameworks. These types of analyses will require powerful data tools that are accessible and explainable to clinicians and researchers. But visibility alone is not innovative enough. grows louder.

Machine Learning 52

Machine Learning Explainability Artificial Intelligence Artificial Intelligence 52

Explosion

JANUARY 12, 2018

We founded Explosion in October 2016, so this was our first full calendar year in operation. In August 2016, Ines wrote a post on how AI developers could benefit from better tooling and more careful attention to interaction design. We set ourselves ambitious goals this year, and we’re very happy with how we achieved them.

NLP 52

NLP Neural Network Machine Learning Python 52

ML Review

JUNE 4, 2018

These ideas also move in step with the explainability of results. Source : Britz (2016)[ 62 ] CNNs can encode abstract features from images. 2014)[ 72 ], is useful to explain multi-modality of the 2014 breakthroughs. 2016)[ 91 ] You et al. The illustration shows how a word is generated at every time step.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

TransOrg Analytics

MAY 27, 2024

This article explores the transformative impact of LLM chatbots compared to traditional chatbots and explains how TranOrg provided an LLM chatbot for an Airline company. million US dollars in 2016 and is expected to grow to 1250 million US dollars in 2025. that can understand images and explain things.

LLM 52

LLM Chatbots Continuous Learning Natural Language Processing 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

About the authors Jeff Demuth is a solutions architect who joined Amazon Web Services (AWS) in 2016. mean(), longitude=airbnb_gdf['longitude'].mean(), For example, for the heatmap visualization, Claude 2 noted the following: "This function generates a heatmap of Airbnb listing prices using pydeck and saves the resulting HTML locally.

Generative AI 127

Generative AI Python Data Scientist Large Language Models 127

Mlearning.ai

FEBRUARY 11, 2023

We explained how to calculate the Chi-Square without the Scipy package. We also explained step-by-step how to calculate Chi-Square using the Scipy Package. 2016) Statistics in Plain English. Conclusion This was a general overview of Chi-Square tests. If you like this article, please clap. References: Urdan, T. 4th edn.

Categorization 52

Categorization Python Explainability ML 52