AI Weekly

JULY 20, 2023

vox.com ChatGPT Out-scores Medical Students on Complex Clinical Care Exam Questions A new study shows AI's capabilities at analyzing medical text and offering diagnoses — and forces a rethink of medical education. techtarget.com Applied use cases AI love: It's complicated Movies have hinted at humans falling for their AI chatbots.

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Towards AI

MAY 7, 2024

What happened this week in AI by Louie This week, we were again watching developments in AI-powered robots and LLMs. Tesla also released a video update on the progress of its Optimus robot, demonstrating many robots being trained on different tasks via human teleoperation. Why should you care?

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NVIDIA

MARCH 1, 2024

Trustworthy AI initiatives recognize the real-world effects that AI can have on people and society, and aim to channel that power responsibly for positive change. What Is Trustworthy AI? Trustworthy AI is an approach to AI development that prioritizes safety and transparency for those who interact with it.

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Unite.AI

FEBRUARY 15, 2024

Our initial focus was on supplanting traditional statistical techniques with AI models. For instance, in anomaly detection, we transitioned from a bell curve methodology that flagged extremes to AI models that were adept at learning from past data, recognizing patterns and seasonality.

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Unite.AI

JUNE 2, 2023

Statista reports that by 2024, the global AI market will generate a staggering revenue of around $3000 billion, compared to $126 billion in 2015. However, tech leaders are now warning us about the various risks of AI. These AI-backed developments are vulnerable due to many AI shortcomings that malicious agents can expose.

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IBM Journey to AI blog

DECEMBER 15, 2023

The diversity and accessibility of open-source AI allow for a broad set of beneficial use cases, like real-time fraud protection, medical image analysis, personalized recommendations and customized learning. This availability makes open-source projects and AI models popular with developers, researchers and organizations.

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NVIDIA

DECEMBER 11, 2023

These target companies include Ayar Labs, specializing in chip-to-chip optical connectivity, and Hugging Face, a hub for advanced AI models. Databricks offers an industry-leading data platform for machine learning, while Cohere provides enterprise automation through AI. The investment strategy extends to autonomous machines.

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Unite.AI

APRIL 12, 2024

ReALM, or Reference Resolution as Language Modeling , is a AI model that promises to bring a new level of contextual awareness and seamless assistance. Unlike cloud-based AI models that rely on sending user data to remote servers for processing, ReALM is designed to operate entirely on your iPhone or other Apple devices.

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Towards AI

FEBRUARY 15, 2024

AI has proven to be a boon for the modern world, with applications across tech innovations like IoT (Internet of Things), AR/VR, robotics, and more. Choosing to work as a professional AI engineer can be a lucrative career option. Soft skills are important in computer science careers as well.

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Flipboard

FEBRUARY 28, 2023

These advancements in generative AI offer further evidence that we’re on the precipice of an AI revolution. However, most of these generative AI models are foundational models: high-capacity, unsupervised learning systems that train on vast amounts of data and take millions of dollars of processing power to do it.

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NVIDIA

FEBRUARY 28, 2024

The latter includes sovereign foundation models, such as large language models , developed by local teams and trained on local datasets to promote inclusiveness with specific dialects, cultures and practices. For example, speech AI models can help preserve, promote and revitalize indigenous languages.

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IBM Journey to AI blog

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

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ODSC - Open Data Science

AUGUST 3, 2023

Streaming Giant Netflix Lists AI Job at $900,000 as Writer Strike Continues Streaming giant Netflix has listed a new AI-focused position with a high range of $900,000 as the writer’s strike continues. Join us at ODSC APAC on August 22nd and 23rd for 2 full days of talks, workshops, and tutorials on a wide range of topics.

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IBM Journey to AI blog

APRIL 18, 2024

Most experts categorize it as a powerful, but narrow AI model. Current AI advancements demonstrate impressive capabilities in specific areas. A key trend is the adoption of multiple models in production. This multi-model approach uses multiple AI models together to combine their strengths and improve the overall output.

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ODSC - Open Data Science

MARCH 11, 2024

WaveNet As one of the first AI models to generate natural-sounding speech, WaveNet is a general-purpose piece of technology. To date, it has allowed researchers, teams, and others to unlock a range of new applications utilizing AI to help with many different issues.

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Defined.ai blog

JANUARY 19, 2023

While the US has a comparative advantage in several AI areas, such as AI services, audio and natural language processing, robotics, and connected and automated vehicles, one factor giving China its competitive edge is its access to big data, the fuel of AI development. Powered by Defined.ai

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Mlearning.ai

DECEMBER 31, 2023

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). Present the model’s predictions to stakeholders.

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Becoming Human

MAY 12, 2023

Utilizing Image Annotation for AI and Machine Learning Computer vision algorithms are trained using large datasets of labeled images, and they’re used in a number of industries, including self-driving cars and medical diagnoses. As a result, businesses can deploy AI applications more quickly by speeding up the AI development process.

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Towards AI

SEPTEMBER 22, 2023

In this new episode, the future human resistance sends a robot back in time to destroy OpenAI’s server farm, thereby preventing the emergence of ChatGPT and AGI. As an AI practitioner, how do you feel about the recent AI developments? Photo by Sepehr Samavati on Unsplash A new Terminator movie has recently been released.

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O'Reilly Media

MAY 9, 2023

It’s hard to ignore the discussion around the Open Letter arguing for a pause in the development of advanced AI systems. If these are indeed the dangers we face, pausing AI development for six months is certainly a weak and ineffective preventive. It’s easier to ignore the voices arguing for the responsible use of AI.

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AI Impacts

MARCH 1, 2023

Introduction In 2016, AI Impacts published The Expert Survey on Progress in AI : a survey of machine learning researchers, asking for their predictions about when various AI developments will occur. The results have been used to inform general and expert opinions on AI timelines. Since it is now (February 2023) 6.5

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Viso.ai

DECEMBER 18, 2023

An example is a privacy-preserving solution for developing healthcare AI models. Visual synthetic data involves artificially generated images to enhance ML models’ training by providing diverse and privacy-conscious datasets – source. This allows for: Developing Robust and Generalizable AI Models.

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Bugra Akyildiz

JULY 29, 2023

LLM-generated robotic plans using Parsel as an intermediate language are more than twice as likely to be considered accurate than directly generated plans. Features 💃 Direct QA powered by Generative AI models with answers backed by quotes and source links.

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TensorFlow

MARCH 14, 2023

Today’s post will show you how to use these features, and give you examples of when you might want to use them and how they connect the work of AI developers and engineers to enable domain-specific AI system design. Simulink users have expressed interest in the ability to bring in AI models and simulate entire systems.

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Marktechpost

MAY 10, 2024

SageMaker Canvas may then make predictions and put the trained model into production. Data Robot Data Robot is an artificial intelligence platform that streamlines the entire lifecycle of machine learning model development, deployment, and management.

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Marktechpost

DECEMBER 10, 2023

SageMaker Canvas may then make predictions and put the trained model into production. Data Robot Data Robot is an artificial intelligence platform that streamlines the entire lifecycle of machine learning model development, deployment, and management.

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IBM Journey to AI blog

JANUARY 10, 2024

But even with the myriad benefits of AI, it does have noteworthy disadvantages when compared to traditional programming methods. AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended.

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Unite.AI

MAY 29, 2023

Nvidia Avatar Cloud Engine (ACE) for Game In a major announcement that brought game developers into the spotlight, Huang disclosed the Nvidia Avatar Cloud Engine (ACE) for Games. This foundry service empowers developers to create and deploy bespoke AI models for speech, conversation, and animation.

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Flipboard

MARCH 7, 2023

Start off on the right foot The process of AI development suffers from poor planning, project management, and engineering problems. Most business leaders today learn about AI from the media, which often describes the value of AI as magic or as something that can be put into production with just a few sprinkles.

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Topbots

DECEMBER 19, 2023

These awards highlight the latest achievements and novel approaches in AI research. Additionally, two Dataset Awards were given, acknowledging the importance of robust and diverse datasets in AI development. Email Address * Name * First Last Company * What areas of AI research are you interested in?

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Unite.AI

MARCH 21, 2024

NVIDIA's continued commitment to innovation is evident in this new chip's ability to handle large-scale AI models more efficiently than ever before. By optimizing neuron representation from eight bits to four, the engine effectively doubles the computing capacity, bandwidth, and model size.

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Cold Takes

JANUARY 13, 2023

(This could result from companies making attempts to prevent the above two failure modes - i.e., AIs might be penalized heavily for saying false and harmful things, and respond by simply refusing to answer lots of questions). The most straightforward way to solve these problems involves training AIs to behave more safely and helpfully.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

Amazon Bedrock provides a broad range of high-performing foundation models from Amazon and other leading AI companies, including Anthropic , AI21 , Meta , Cohere , and Stability AI , and covers a wide range of use cases, including text and image generation, searching, chat, reasoning and acting agents, and more.

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NVIDIA

DECEMBER 6, 2023

Companies won’t have one or two generative AI applications — many will have hundreds of customized applications using proprietary data that is suited to various parts of their business. Leading companies like Amdocs, Dropbox, Genentech, SAP, ServiceNow and Snowflake are already building new generative AI services built using RAG and LLMs.

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Aiiot Talk

JUNE 16, 2023

AI systems’ ability to process massive volumes of data can strain conventional privacy norms.” Moreover, AI’s ability to “de-anonymize” data provides another challenge. Even if the information is anonymized, sophisticated AI models can cross-reference it with other sources to identify individuals.

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ODSC - Open Data Science

FEBRUARY 29, 2024

The Stanford AI Lab Founded in 1963, the Stanford AI Lab has made significant contributions to various domains, including natural language processing, computer vision, and robotics. Similar to the MIT lab, its approach is multidisciplinary to enhance human-robot interactions using the power of AI.

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Cold Takes

NOVEMBER 29, 2022

I’ll argue that if today’s AI development methods lead directly to powerful enough AI systems, disaster is likely 1 by default (in the absence of specific countermeasures). I assume the world could develop extraordinarily powerful AI systems in the coming decades. I call this nearcasting.)

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