AI News

APRIL 8, 2024

The ML Olympiad – organised by groups including ML GDE, TFUG, and other ML communities – aims to provide developers with hands-on opportunities to learn and practice machine learning skills by tackling real-world challenges. Competitions are hosted by expert groups and developers from around the world.

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Marktechpost

APRIL 20, 2024

Its AI Safety Working Group, established in late 2023, aims to develop benchmarks for assessing AI safety, tracking its progress over time, and incentivizing safety improvements. MLCommons, in collaboration with various institutions and organizations like Stanford University, Google Research, and others, has developed version 0.5

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Unite.AI

OCTOBER 25, 2023

This groundbreaking development is not just a step, but a giant leap towards bridging the gap between human cognition and AI capabilities. However, the novelty of this recent development lies in its heightened capacity for language generalization. This pseudo-language comprised two distinct categories of words.

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Unite.AI

JANUARY 22, 2024

From there I joined Tellme Networks, a company started by Netscape and Microsoft engineers who had developed the first consumer voice platform for speech recognition. We brainstormed how we could enable new experiences in this new category. That company was eventually acquired by the largest radio company in the US, iHeartMedia.

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Unite.AI

NOVEMBER 15, 2023

This study, spotlighting the intersection of upskilling needs and AI technology, is reshaping how organizations approach learning and development (L&D). It reveals that: 53% of leaders are using AI to make professional development courses more engaging and fun. remains committed to reporting on new developments in this area.

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AI Impacts

APRIL 15, 2024

Background AI is likely to automate more and more categories of thinking with time. We believe 1 that this area could be a crucial target for differential technological development, but is at present poorly understood and receives little attention. Submissions are due by July 14th. How could we build metrics for any of these things?

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Marktechpost

MAY 6, 2024

Developing new methods and algorithms allows for innovations that benefit various industries, including transportation, manufacturing, and healthcare. The retrieval method gave the model valuable context, enabling it to handle the unique challenges of fine-grained visual categories in these datasets. Check out the Paper.

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Unite.AI

APRIL 30, 2024

It was very clear early on that traditional methods were a stopgap, and that organizations across the board would need to develop new processes to effectively secure workloads in the cloud. RLDatix is aiming to implement a simpler taxonomy, globally, across our portfolio, with concrete categories that can be easily distinguished by the LLM.

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IBM Journey to AI blog

FEBRUARY 22, 2024

The rise of foundation models that power the growth of generative AI and other AI use cases offers exciting possibilities—yet it also raises new questions and concerns about their ethical design, development, deployment, and use. Known risks from prior or earlier forms of AI systems.

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Unite.AI

DECEMBER 5, 2023

This could lead to large categories of jobs being destroyed. With this new wave of AI, there is a new category of machine learning engineers who are focused only on “prompt engineering.” ” This role is different from traditional software development, but it has arisen from the need for new ways to work with AI models.

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AI News

APRIL 24, 2024

The innovative training approach developed by Microsoft researchers has allowed the Phi-3 models to outperform larger models on language, coding, and math benchmarks. Microsoft has announced the Phi-3 family of open small language models (SLMs), touting them as the most capable and cost-effective of their size available.

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Marktechpost

NOVEMBER 19, 2023

A team of researchers from the University of Illinois Urbana-Champaign, Carnegie Mellon University, Georgia Institute of Technology, University of California Berkeley, Meta AI Research, and Mistral AI has developed a universal navigation system called GO To Any Thing (GOAT). It is a lifelong system that benefits from past experiences.

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IBM Journey to AI blog

MAY 1, 2023

Continued advancement in AI development has resulted today in a definition of AI which has several categories and characteristics. developing a distance map of objects around a vehicle to enable semi-autonomous driving). The early versions of AI were capable of predictive modelling (e.g., It has taken the world by storm.

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Unite.AI

FEBRUARY 14, 2024

According to McKinsey , the economic impact of GenAI is the largest in the field of Product development and coding automation, resulting in a $900B impact. While CoPilot is considered the category leader, there are GenAI coding assistants with different specialties. According to Github, CoPilot speeds development by 55% [ research ].

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Marktechpost

FEBRUARY 1, 2024

Researchers from the University of Hong Kong, Zhejiang University, Shanghai Jiao Tong University, Tsinghua University, School of Engineering, Westlake University, and The Hong Kong University of Science and Technology have developed AgentBoard. Code LLMs demonstrate relatively superior performance among open-weight models.

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IBM Journey to AI blog

APRIL 10, 2024

Adopt developer tooling and agile processes to increase your velocity and help you address these issues. Your existing applications also form a large part of your organization’s technical debt, with monolithic architectures and development processes. How can you keep innovating consistently while delivering value?

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Marktechpost

FEBRUARY 29, 2024

Various categories of hallucinations in MLLMs include describing non-existent objects, misunderstanding spatial relationships, and counting objects incorrectly. The dataset includes six categories of deception: Count of Objects, Non-existent Object, Object Attribute, Scene Understanding, Spatial Relationship, and Visual Confusion.

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Marktechpost

JANUARY 17, 2024

The two main categories into which AI systems have been divided are Predictive AI and Generative AI. The team has shared that AML problems are dynamic and identify unresolved issues that need to be taken into account at every stage of the development of Artificial Intelligence systems.

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IBM Journey to AI blog

SEPTEMBER 7, 2023

Based on 14 years of development and input from electric utility experts, the CEMM provides a series of benchmarks to help utility companies measure the maturity of their clean electrification capabilities, set priorities for transformation and track their progress along the way. The average maturity for all T&D utilities was at the 1.6

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Flipboard

OCTOBER 19, 2023

” “This next generation of AI will reshape every software category and every business, including our own,” Nadella wrote. Microsoft CEO Satya Nadella focused on artificial intelligence in his annual shareholders letter published Thursday, detailing why “this is Microsoft’s moment.” Read the letter here.

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Unite.AI

JUNE 14, 2023

This category includes AI systems that pose a significant threat to health, safety, or fundamental rights. Over-regulation could result in the throttling of these innovations, slowing down the pace of development and potentially leading to missed opportunities.

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AWS Machine Learning Blog

NOVEMBER 26, 2023

Amazon Personalize is a fully managed machine learning (ML) service that makes it effortless for developers to deliver highly personalized user experiences in real time. User A is a frequent buyer and has shopped mostly in the “Beauty & Grooming” and “Jewelry” categories in the past.

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Unite.AI

MARCH 28, 2024

Because it was developed with conversational AI capabilities, it can immediately comprehend user queries and generate natural-sounding responses that are tailored to the conversation context. It also has built-in memory capability that stores information from past conversations to better respond to subsequent messages.

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Unite.AI

JUNE 26, 2023

Depending on the situation, it could be the AI developer, a healthcare professional or even the patient. Both categories have their risks. When the AI Developer Is at Fault It’s important to remember AI is nothing more than a computer program. Who is responsible when AI mistakes in healthcare cause accidents, injuries or worse?

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AI News

SEPTEMBER 12, 2023

are indicative of a wide range of accelerators being developed to serve ML workloads. The benchmark suite encompasses both open and closed submissions in the performance, power, and networking categories. Mitchelle Rasquinha, co-chair of the MLPerf Inference Working Group, commented: “The submissions for MLPerf Inference v3.1

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Marktechpost

MAY 1, 2024

In code interpreter abuse evaluation, LLM conditioning is prioritized alongside unique abuse categories, while a judge LLM assesses generated code compliance. The Key contributions of this research are the following: Researchers added robust prompt injection tests, evaluating 15 attack categories on LLMs.

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Marktechpost

APRIL 2, 2024

Developing AI models that are more trustworthy and resilient is another obstacle. Dawn AI’s key features are as follows: Dawn is a master of categorization/tokens; it can automatically sort user inputs and model outputs into useful categories.

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Marktechpost

AUGUST 12, 2023

Recent developments in the field of Artificial Intelligence have led to solutions to a variety of use cases. A number of algorithms have been developed that simulate creative behaviors or aim to enhance and augment human creative processes. The process of optimization results in what they refer to as prior constraints.

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Aiiot Talk

NOVEMBER 4, 2023

Understanding Robots and Cobots “Robots and cobots represent distinct categories of machines with unique characteristics and applications across various industries.” For instance, the development, maintenance, and operation of robots and automation systems have increased employment in robotics engineering, programming and technical support.

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Marktechpost

AUGUST 1, 2023

However, the challenge lies in the variation of object categories and scenes. The key to overcoming this limitation is the development of a universal object detector to achieve detection capabilities across all types of objects in any given scene. Additionally, specialized datasets focus on specific categories.

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Unite.AI

JANUARY 18, 2024

LVMs are a new category of AI models specifically designed for analyzing and interpreting visual information, such as images and videos, on a large scale, with impressive accuracy. Thus, ensuring transparency in how LVMs operate and the accountability of developers and users for their consequences becomes essential.

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Marktechpost

MARCH 22, 2024

There are three ways in which DATALORE enhances the user experience: DATALORE’s related table discovery can improve search results by sorting relevant tables (both semantic and transformation-based) into distinct categories. Because it can handle numeric, textual, and categorical data, DATALORE normally beats EDV in every category.

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Unite.AI

JULY 14, 2023

DeepAI founder Kevin Baragona is a professional software engineer and product developer with more than a decade of experience. DeepAI is a consumer and developer facing platform and our commitment is in providing the best possible experience for them. Certainly, the same line of reasoning was used to escalate the nuclear arms race.

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Marktechpost

MARCH 18, 2024

Unsupervised anomaly detection methods rely solely on normal data for training, falling into four categories: reconstruction-based, self-supervised learning, deep feature embedding, and one-class classification. However, challenges persist in feature redundancy and selection across different anomaly categories.

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Marktechpost

DECEMBER 13, 2023

The aim is to sort possible situations into three primary categories: text-rich graphs, text-paired graphs, and pure graphs. The results highlighted the need for more investigation and creativity by outlining possible future study topics in this quickly developing field. The team has summarized their primary contributions as follows.

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Marktechpost

JANUARY 24, 2024

Further, the researchers developed a machine learning model that can categorize images according to disturbances they have via forward-backward cycles. They used Separate super-resolution neural networks for each image category and then performed evaluations across all three systems.

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Pickl AI

NOVEMBER 3, 2023

Data School by Kevin Markham Category: Tutorials and Python Programming Subscribers: 216K Link to the Channel: [link] It is a treasure trove of Data Science tutorials. StatQuest with Josh Starmer Category: Statistics and Machine Learning Demystified Subscribers: 1.02 Freecodecamp Category: Data Science Subscribers: 8.35

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