Sun.Dec 03, 2023

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Announcing our $50M Series C to build superhuman Speech AI models

AssemblyAI

I’m excited to share that we’ve raised $50M in Series C funding led by Accel , our partners that also led our Series A, with participation from Keith Block and Smith Point Capital , Insight Partners , Daniel Gross and Nat Friedman, and Y Combinator. This brings AssemblyAI’s total funds raised to $115M — 90% of which we’ve raised in the last 22 months, as organizations across virtually every industry have raced to embed Speech AI capabilities into their products

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Researcher Develops Domain-Specific Scientific Chatbot

Unite.AI

In scientific research, collaboration and expert input are crucial, yet often challenging to obtain, especially in specialized fields. Addressing this, Kevin Yager, leader of the electronic nanomaterials group at the Center for Functional Nanomaterials (CFN), Brookhaven National Laboratory, has developed a game-changing solution: a specialized AI-powered chatbot.

Chatbots 173
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Key Congress staffers in AI debate are funded by tech giants like Google and Microsoft

Flipboard

Big tech companies are funneling money through a science nonprofit to help pay the salaries of AI staffers in Congress — and it’s just one example of the increasing influence outside-funded fellows are exerting on tech policy in Washington.

AI 182
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Perplexity Unveils Two New Online LLM Models: ‘pplx-7b-online’ and ‘pplx-70b-online’

Marktechpost

Perplexity, an innovative AI startup, has introduced a solution to transform information retrieval systems. This launch introduces two new large language models (LLMs), pplx-7b-online and pplx-70b-online, which mark the pioneering foray into publicly accessible online LLMs via an API. Unlike traditional offline LLMs like Claude 2, these models leverage live internet data, enabling real-time, precise responses to queries, overcoming the struggle with up-to-the-minute information such as the lates

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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There’s a gap between AI talk and businesses actually using it

Flipboard

Major companies can’t stop talking about artificial intelligence tools, but few businesses report using them. America’s biggest companies can’t stop hyping artificial intelligence to investors, but new data shows few businesses are putting the technology to actual use.

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7 Key Differences Between How Leaders And Managers View ChatGPT

Flipboard

ChatGPT, Claude, Scribe, AlphaCode, Bard, DALL·E 2, and other generative AI have been part of the workplace for about a year, and virtually everyone inside organizations has been looking at, and thinking about, AI. Some employees are experiencing FOBO—the Fear of Becoming Obsolete.

ChatGPT 178
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CMU Researchers Discover Key Insights into Neural Network Behavior: The Interplay of Heavy-Tailed Data and Network Depth in Shaping Optimization Dynamics

Marktechpost

There is a steadily growing list of intriguing properties of neural network (NN) optimization that are not readily explained by classical tools from optimization. Likewise, the research team has varying degrees of understanding of the mechanical causes for each. Extensive efforts have led to possible explanations for the effectiveness of Adam, Batch Normalization, and other tools for successful training, but the evidence is only sometimes entirely convincing, and there is certainly little theore

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OpenAI’s GPT store might not have killed the company—but it could still threaten AI startups

Flipboard

The tumult that came before OpenAI’s grand unraveling highlights the perils of building on someone else’s technology. In the days and weeks before Sam Altman was unceremoniously fired from OpenAI—then reinstated over the course of a long, confusing weekend—the company was flying high.

OpenAI 177
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Cornell Researchers Uncover Insights into Language Model Prompts: A Deep Dive into How Next-Token Probabilities Can Reveal Hidden Text

Marktechpost

The study conducted by researchers at Cornell University addresses the problem of language model inversion. They discovered that the next-token probabilities contain significant information about the preceding text. To solve this problem, they introduced a method to reconstruct unknown prompts using only the model’s current distribution output, which they found to be highly accurate.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Meta's AI chief doesn't think AI super intelligence is coming anytime soon, and is skeptical on quantum computing

Flipboard

Meta's chief scientist and deep learning pioneer Yann LeCun said he believes that current AI systems are decades away from reaching some semblance of …

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Researchers from NYU and Meta Introduce Dobb-E: An Open-Source and General Framework for Learning Household Robotic Manipulation

Marktechpost

The team of researchers from NYU and Meta aimed to address the challenge of robotic manipulation learning in domestic environments by introducing DobbE, a highly adaptable system capable of learning and adapting from user demonstrations. The experiments demonstrated the system’s efficiency while highlighting the unique challenges in real-world settings.

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Can an AI chatbot be convicted of an illegal wiretap? A case against Gap's Old Navy may answer that

Flipboard

With generative AI tools like ChatGPT bound to create more powerful personal assistants that can take over the role of customer service agents, the …

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Meet SceneTex: A Novel AI Method for High-Quality, Style-Consistent Texture Generation in Indoor Scenes

Marktechpost

High-quality 3D content synthesis is a crucial yet challenging problem for many applications, such as autonomous driving, robotic simulation, gaming, filmmaking, and future VR/AR situations. The topic of 3D geometry generation has seen a surge in research interest from the computer vision and graphics community due to the availability of more and more 3D content datasets.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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The Who’s Who Behind the Modern Artificial Intelligence Movement

Flipboard

Before chatbots exploded in popularity, a group of researchers, tech executives and venture capitalists had worked for more than a decade to fuel A.I.

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AWS’ Generative AI Strategy Starts to Take Shape and Looks a Lot Like Microsoft’s

TheSequence

Created Using DALL-E Next Week in The Sequence: Edge 349: We are almost at the end of our series about fine-tuning and we are going to discuss the nascent space of reinforcement learning with AI feedback(RLAIF). We review the original RLAIF paper and NVIDIA’s NeMo framework. Edge 350: We review Hugging Face’s Zephyr model which has quickly become one of the most robust open source LLMs in the market.

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Business Tech Roundup: You Can Now Talk To ChatGPT For Free

Flipboard

Here are five things in tech that happened this week and how they affect your business. Did you miss them? 1 – You can now talk to ChatGPT like Siri for free, but it won't reveal OpenAI's secrets. OpenAI will now allow free access to a voice enabled chatbot in the GPT-3.

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Meet Meditron: A Suite of Open-Source Medical Large Language Models (LLMs) based on LLaMA-2

Marktechpost

One of the most exciting applications of Large Language Models (LLMs) is in medicine, with some of its use cases including medical research, tailored health plans, clinical diagnosis, and many more. However, given how safety-critical the field is, it is necessary to stress-test these models in various use cases to ensure they are safe to use. Additionally, these models should be released to the public to allow for its scrutiny.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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The OpenAI Drama Shows We've Entered the Age of the Employee

Flipboard

Labor holds more cards than ever. Here's how your company needs to adjust. The failed ouster of Sam Altman was a microcosm of current power dynamics in corporate America.

OpenAI 161
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Meet PepCNN: A Deep Learning Tool for Predicting Peptide Binding Residues in Proteins Using Sequence, Structural, and Language Model Features

Marktechpost

PepCNN, a deep learning model developed by researchers from Griffith University, RIKEN Center for Integrative Medical Sciences, Rutgers University, and The University of Tokyo, addresses the problem of predicting protein-peptide binding residues. PepCNN outperforms other methods in terms of specificity, precision, and AUC metrics by combining structural and sequence-based information, making it a valuable tool for understanding protein-peptide interactions and advancing drug discovery efforts.

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How OpenAI's nonprofit-corporate model works, and how it fueled its CEO's temporary ouster

Flipboard

The board of OpenAI, creator of the popular ChatGPT and DALL-E artificial intelligence tools, fired Sam Altman, its chief executive officer, in late …

OpenAI 161
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This Deep Learning Research Unveils Distinct Brain Changes in Adolescents with ADHD: A Breakthrough in MRI Scan Analysis

Marktechpost

In a groundbreaking development, researchers have harnessed the power of artificial intelligence (AI) to address the inherent challenges in diagnosing Attention Deficit-Hyperactivity Disorder (ADHD) among adolescents. The conventional diagnostic landscape, reliant on subjective self-reported surveys, has long faced criticism for its lack of objectivity.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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AI-Built Cancer Antibodies on the Horizon, Potentially Replacing Chemotherapy with AstraZeneca, Absci Collaboration

Flipboard

AstraZeneca taps into AI firms to build cancer antibodies to replace chemotherapy. Generative AI-Built Cancer Antibodies will reportedly be worked on by AstraZeneca and Absci after signing a deal approximately worth $247 million, as reported by Reuters.

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Microsoft Researchers Propose MAIRA-1: A Radiology-Specific Multimodal Model for the Task of Generating Radiological Reports from Chest X-rays (CXRs)

Marktechpost

The team of researchers from Microsoft tackled the problem of generating high-quality reports for chest X-rays (CXR) by developing a radiology-specific multimodal model called MAIRA-1. The model utilizes a CXR-specific image encoder and a fine-tuned LLM based on Vicuna-7B and text-based data augmentation, focusing on the Findings section. The study recognizes the challenges and suggests that future versions could incorporate current and previous study information to reduce information hallucinat

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Larry Page accused Elon Musk of favoring human species over digital life forms during an argument about the dangers of AI at Musk's 44th birthday

Flipboard

Larry Page and Elon Musk argued about AI at Musk's 44th birthday party in 2015. Page reportedly said humans would eventually merge with machines.

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Breaking the Boundaries in 3D Scene Representation: How a New AI Technique is Changing the Game with Faster, More Efficient Rendering and Reduced Storage Demands

Marktechpost

NeRF represents scenes as continuous 3D volumes. Instead of discrete 3D meshes or point clouds, it defines a function that calculates color and density values for any 3D point within the scene. By training the neural network on multiple scene images captured from different viewpoints, NeRF learns to generate consistent and accurate representations that align with the observed images.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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AI: Corporate Governance – Who’s in Charge?

Flipboard

In last week’s Capital Letter, I wrote about the drama at OpenAI, the artificial intelligence company and creator of ChatGPT which has the eventual …

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Human Pose Estimation with Deep Learning – Ultimate Overview in 2024

Viso.ai

Pose estimation is a fundamental task in computer vision and artificial intelligence (AI) that involves detecting and tracking the position and orientation of human body parts in images or videos. This article will explore the latest advances in pose analytics algorithms and AI vision techniques, their applications and use cases, and their limitations.

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From Learning To Earning: How To Use AI To Get Your Next Promotion

Flipboard

Understanding how to use AI gives you additional knowledge about various aspects of your business than your less-informed peers. 81% of surveyed professionals feel that AI will help them progress in their careers, whether by saving time, strengthening their networks, or changing the way they work. Knowing how to use the technology isn’t enough: to leverage your proficiencies to make a real career change, you’ll need to know how to market your skills.