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Artificial intelligence has made remarkable strides in recent years, with large language models (LLMs) leading in natural language understanding, reasoning, and creative expression. Yet, despite their capabilities, these models still depend entirely on external feedback to improve. Unlike humans, who learn by reflecting on their experiences, recognizing mistakes, and adjusting their approach, LLMs lack an internal mechanism for self-correction.
Microsoft has officially expanded its Phi-4 series with the introduction of Phi-4-mini-instruct (3.8B) and Phi-4-multimodal (5.6B), complementing the previously released Phi-4 (14B) model known for its advanced reasoning capabilities. These additions significantly enhance multilingual support, reasoning, and mathematical skills, and introduce multimodal capabilities.
Fetch.ai has launched ASI-1 Mini, a native Web3 large language model designed to support complex agentic AI workflows. Described as a gamechanger for AI accessibility and performance, ASI-1 Mini is heralded for delivering results on par with leading LLMs but at significantly reduced hardware costsa leap forward in making AI enterprise-ready. ASI-1 Mini integrates into Web3 ecosystems, enabling secure and autonomous AI interactions.
Pinterest, the web's de facto mood board, has long been one of the best places for finding and sharing aspirational lifestyle imagery: sumptuous meals, beautiful art and interiors, fashion and beauty inspiration, and an endless list of do-it-yourself home and holiday projects. Or at least it was. These days, the site is engulfed in a torrent of uncanny AI-generated slop, drowning out the real, human-made content that once thrived there.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
Companies lose millions to unproductive meetings with executives spending up to 23 hours per week in conversations that often lead to more questions than answers. Still, the real cost isn't just time—it's the valuable insights, decisions, and action items that slip through the cracks between meetings. Meeting intelligence platforms aim to change this paradigm.
Much has been said about AIs potential to accelerate the quest for new treatments and cures, but its potential to improve care in facilities worldwide cannot be overlooked As we look towards the future, it's clear that the way we think of healthcare facilities will evolve far beyond what we know them to be today. Hospitals will transcend being simply buildings or places of healing, into dynamic environments that reflect the complex rhythms of human behavior and social interactions.
Much has been said about AIs potential to accelerate the quest for new treatments and cures, but its potential to improve care in facilities worldwide cannot be overlooked As we look towards the future, it's clear that the way we think of healthcare facilities will evolve far beyond what we know them to be today. Hospitals will transcend being simply buildings or places of healing, into dynamic environments that reflect the complex rhythms of human behavior and social interactions.
Palo Alto-based You.com has introduced ARI, a professional-grade AI research agent for businesses to access competitive insights. ARI (Advanced Research & Insights) delivers comprehensive, accurate, and interactive reports within minutespotentially shaking up the $250 billion management consulting industry. You.com claims ARI completes reports that typically require weeks of labour and cost thousands of dollars in just five minutes, at a fraction of traditional expenses.
Since last June, Anthropic has ruled over the coding benchmarks with its Claude 3.5 Sonnet. Today with its latest Claude 3.7 Sonnet LLM, it’s here to shake the world of generative AI even more. Claude 3.7 Sonnet much like Grok 3, released a week ago – comes with advanced reasoning, mathematical, and coding abilities. Both […] The post Claude 3.7 Sonnet vs Grok 3: Which LLM is Better at Coding?
Generative AI is built on three key resources: people, compute and data. While companies invest heavily in the first two, they often use unlicensed creative work as training data without permission or payment a practice that pits AI against the very creators it relies on. AI expert Ed Newton-Rex has a solution: licensing. He unpacks the dark side of today's AI models and outlines a plan to ensure that both AI companies and creators can thrive together.
0:00 / 2:29 1× In 2020, Supernormal founder and CEO Colin Treseler saw a huge market opportunity with the rise in the popularity of virtual meetings. “Meetings are where we have our most productive, collaborative thoughts. They’re where we do our brainstorming and decision-making and things that push our work forward,” Treseler explains.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Game development has traditionally been a labor-intensive process requiring artistic creativity, technical expertise, and large-scale production efforts. Developers spend months, sometimes years, crafting environments, animations, and dialogue, working across teams that require significant financial investments. The rise of generative AI is beginning to change that.
Blockchain has tried to claim many things as its own over the years, from global payment processing to real-world assets. But in artificial intelligence, it’s found synergy with a sector willing to give something back. As this symbiotic relationship has grown, it’s become routine to hear AI and blockchain mentioned in the same breath. While the benefits web3 technology can bring to artificial intelligence are well documented transparency, P2P economies, tokenisation, censorship resi
Weve all experienced the use of AI in our daily coding tasks. Many of us may have used Repl.it, an online code editor with built-in AI capabilities that help generate code and offer guidance. Likewise, tools like GitHub Copilot for VS Code enhance our coding workflow through simple extensions. And if youve ever tried Black […] The post Model Context Protocol (MCP): A Universal Connector for AI and Data appeared first on Analytics Vidhya.
Generative AI has wormed its way into myriad products and services, some of which benefit more from these tools than others. Coding with AI has proven to be a better application than most, with individual developers and big companies leaning heavily on generative tools to create and debug programs. Now, indie developers have access to a new AI coding tool free of chargeGoogle has announced that Gemini Code Assist is available to everyone.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
While AI has gone from an emergent technology to a core part of product strategy for product and development leaders, the complexities of building with AI—and the question of whether to build or fine-tune your own AI capabilties, or to partner with a trusted AI model provider remain top considerations in 2025. Our 2024 insights report broke down founders’ biggest perceived barriers to integrating with AI: the steep learning curve, figuring out the integration with other tools, the
Efficient and accurate note-taking is essential for maximizing productivity and ensuring no key detail is missed during meetings. We will take a look at some of the best AI-powered note-taking apps available, offering a curated mix of free and paid solutions that excel in transcription accuracy, seamless integrations, and user-friendly experiences. Each tool is presented with a detailed overview and a breakdown of its top features, giving you the insights needed to select the best solution to st
In todays rapidly evolving technological landscape, developers and organizations often grapple with a series of practical challenges. One of the most significant hurdles is the efficient processing of diverse data typestext, speech, and visionwithin a single system. Traditional approaches have typically required separate pipelines for each modality, leading to increased complexity, higher latency, and greater computational costs.
On February 28, 2025, DeepSeek made significant strides in the open-source community by launching the Fire-Flyer File System (3FS) and the Smallpond data processing framework. These innovations are designed to enhance data access and processing capabilities, particularly for AI training and inference workloads. Fire-Flyer File System (3FS) The Fire-Flyer File System (3FS) is a high-performance […] The post DeepSeek #OpenSourceWeek Day 5: Launch of 3FS and Smallpond Framework appeared first
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
What hasn't been said about artificial intelligence? It's a disruptor, a game changer, the next technological revolution. Soon we'll all be chilling with our feet up while our AI assistants do all the heavy lifting right? One economist isn't so sure. A new study by Caleb Maresca at New York University predicts that just the looming possibility of transformative AI has the potential to completely upend the economy in a bad way, decimating wages and sending interest rates skyward.
Bridge the gap of last mile issues 1. Differentiate your startup by addressing last mile issues and using nuanced benchmarks for AI performance I’m excited about how real-time, AI-driven agents will evolve. We’ll see multimodal agents that will include visual and audio in their interactions. For example, rather than calling a plumber for help with a leaky pipe, you’ll open an app, show where the pipe is leaking, and the agent will talk you through fixing it in real time.
Its 2025 and Machine Learning is in full swing and the hot topic at every marketing conference across the globe. The rise of AI-powered martech (marketing technology) promises to make advertising better, accelerate creative development while deciphering large amounts of data, and make human-like decisions. Further proof: a recent report states that 80% of CMOs plan to increase spending on AI and data in 2025.
Nikolay Babakov is a PhD students at University of Santiago de Compostela in Spain, and I am helping to supervise him as part of the EU NL4XAI project. Nikolay is working on making Bayesian Networks (BN) more useful and attractive, and has recently published three papers on this topic, which I describe below. Bayesian networks are causal graphs which contain probabilistic information about the relationship between nodes.
Speaker: Joe Stephens, J.D., Attorney and Law Professor
Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.
AI-powered coding assistants are becoming more advanced by the day. One of the most promising models for software development, is Anthropics latest, Claude 3.7 Sonnet. With significant improvements in reasoning, tool usage, and problem-solving, it has demonstrated remarkable accuracy on benchmarks that assess real-world coding challenges and AI agent capabilities.
Sergey Brin co-founded Google in the 1990s along with Larry Page, but both stepped away from the day to day at Google in 2019. However, the AI boom tempted Brin to return to the office, and he thinks everyone should follow his example. In a new internal memo, Brin has advised employees to be in the office every weekday so Google can win the AI race.
Artificial intelligence is always evolving, and Open AIs CLIP has always been a standout technology due to its performance and architecture. This model also possesses multimodal capabilities that allow it to advance other models like OWL-ViT and DALL-E. Facebook researchers created MetaCLIP using the CLIP data curation concept. This model upgrades MetaAI and incorporates various […] The post How to Use MetaCLIP?
Artificial intelligence is making waves across industries, but its impact is higher in some sectors than others. Medicine and other sciences stand to gain much from this technology, thanks to their data-heavy work and demand for speed and accuracy. In these fields, gene editing is a particularly promising use case for AI. The practice of modifying genes to control specific outcomes in living organisms first appeared in fiction, but it emerged in real-world experiments around the 1960s.
AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.
DeepSeek is here with its Day 2 of #OpenSourceWeek and today they introduced DeepEP – An open Source EP communication library for MOE model training and inference. Till now, I have been completely impressed by DeepSeek and their answer to the billion-dollar models of OpenAI, Meta and more. Now, they are open-sourcing the building blocks […] The post DeepSeek #OpenSourceWeek Day 2: Release of DeepEP appeared first on Analytics Vidhya.
Anthropic has released Claude 3.7 Sonnet , a highly-anticipated upgrade to its large language model (LLM) family. Billed as the companys most intelligent model to date and the first hybrid reasoning AI on the market, Claude 3.7 Sonnet introduces some major enhancements over its predecessor ( Claude 3.5 Sonnet ) in speed, reasoning, and real-world task performance.
As part of #OpenSourceWeek Day 4, DeepSeek introduces 2 new tools to make deep learning faster and more efficient: DualPipe and EPLB. These tools help improve how computers handle calculations and communication during training, making the process smoother and quicker. In the fast-changing world of deep learning, finding ways to train models better while using […] The post DeepSeek #OpenSourceWeek Day 4: Optimized Parallelism Strategies appeared first on Analytics Vidhya.
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