Unite.AI

MAY 27, 2024

Another notable instance of financial fraud occurred in February 2016, when hackers targeted the central bank of Bangladesh and exploited vulnerabilities in SWIFT, attempting to steal USD one billion. One of the key challenges in AI is explainability. While most transactions were blocked, USD 101 million still disappeared.

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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.

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Unite.AI

JULY 11, 2023

of Quantum Physics Séamus Davis, explains, “What our team found was that some of the electron pairs form a new crystal structure embedded in this background fluid. These types of states were first discovered by our group in 2016 and are now called Electron Pair-Density Waves.

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Explainability Artificial Intelligence Artificial Intelligence 187

AI News

MAY 28, 2024

We launched the Atera all-in-one platform for IT management in 2016, so quite a few years ago. Could you explain what these are? TechForge recently caught up with Gil Pekelman, CEO of all-in-one IT management platform, Atera, to discuss how AI is becoming the IT professionals’ number one companion. And it’s very broad.

Automation 317

Automation Big Data AI AI 317

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

Computer Vision Metadata Algorithm Explainability 278

Flipboard

FEBRUARY 4, 2025

Tim OReilly, Managing the Bots That Are Managing the Business , MIT Sloan Management Review , May 21, 2016 In each of these waves, old skills became obsolescentstill useful but no longer essentialand new ones became the key to success. These are the real workers, and the programmers who create them are their managers.

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Software Development Automation Software Engineer Explainability 182

Unite.AI

JANUARY 13, 2024

Yolov8 Explained YOLO (You Only Live Once) is a popular computer vision model capable of detecting and segmenting objects in images. Yolov2 : The next version, released in 2016, presented a top performance on benchmarks like PASCAL VOC and COCO and operates at high speeds (67-40 FPS).

Computer Vision 259

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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.

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AI AI Artificial Intelligence Artificial Intelligence 182

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 138

Software Development Software Engineer Generative AI Explainability 138

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 95

Data Science Machine Learning Explainability 95

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.

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Large Language Models LLM Explainability Automation 117

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.

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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?

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Responsible AI AI AI Explainability 162

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 122

Large Language Models LLM AI AI 122

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?

Machine Learning 52

Machine Learning Explainability 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

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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 Neural Network Convolutional Neural Networks Deep Learning 52

AWS Machine Learning Blog

FEBRUARY 21, 2025

Clone the GitHub repository and follow the steps explained in the README. Context (Snippet from PDF file) Question Answer THIS STRATEGIC ALLIANCE AGREEMENT (Agreement) is made and entered into as of November 6, 2016 (the Effective Date) by and between Dialog Semiconductor (UK) Ltd., Set up a SageMaker notebook instance.

LLM 85

LLM AI AI Data Scientist 85

TheSequence

MARCH 9, 2025

One of RL's most notable early successes was demonstrated by Google DeepMind's AlphaGo, which defeated world-class human Go players in 2016 and 2017. The lack of explainability in RL models also raises concerns in critical applications such as healthcare and autonomous systems.

LLM 52

LLM Robotics Artificial Intelligence Artificial Intelligence 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

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 101

AI AI Machine Learning Explainability 101

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.

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NVIDIA

JANUARY 16, 2024

So began the organization’s trustworthy AI efforts, in 2016, to accelerate its work using ASR. “No To collect speech data in a transparent, ethically compliant, community-oriented way, Te Hiku Media began by explaining its cause to elders, garnering their support and asking them to come to the station to read phrases aloud. “It

AI Modeling 104

AI Modeling AI AI Data Scientist 104

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?

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Pickl AI

MARCH 27, 2025

Summary:- Our guide explains how to use the SUMIF formula in Excel to conditionally sum data quickly. Basic Uses of SUMIF in Excel The SUMIF function is available in Excel 365, Excel 2021, Excel 2019, Excel 2016, Excel 2013, Excel 2010, Excel 2007, and older versions. If this is not provided, Excel sums the values in the range.

Data Analysis 52

Data Analysis Data Science Continuous Learning Explainability 52

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.

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Natural Language Processing AI UX Design AI 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 129

LLM AI AI Chatbots 129

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 111

Machine Learning ChatGPT Natural Language Processing Categorization 111

ML @ CMU

NOVEMBER 7, 2024

$$IRM(theta) = min_{theta} sumlimits_{e in E} ell_{text{CE}}(f_theta(X^e), Y^e) + lambda cdot ||nabla_{w|w=1} ell_{text{CE}}(w( f_theta(X^e)), Y^e)||^2$$ However, our partner demining organizations quickly emphasized the need for interpretable models, as they must explain to communities why certain areas are prioritized for clearance or not.

Machine Learning 61

Machine Learning Deep Learning AI AI 61

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

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

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

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

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