Hire Now
Message Avi
See how it works
Book Avi with Paydesk
Make your booking securely through paydesk for these benefits:
1
Preferred Booking Channel
Avi is more likely to commit to assignments booked through paydesk, as it is a trusted platform that validates the seriousness and legitimacy of each engagement.2
Insured Bookings for Peace of Mind
We provide basic insurance coverage with each booking on paydesk, giving both you and the media professional confidence and protection while they work for you.3
Effortless Online Payment
Paydesk offers a payment protection system to ensure payments are only finalized when you are satisfied with the job completion. Freelancers trusts our process that guarantees their efforts are rewarded upon successful delivery of servicesStill have questions?
Check FAQAbout Avi
Avi Gopani is an Erasmus Mundus Journalism masters student. She is currently working as an independent journalist, interested in travel, cultural and political journalism.
Current Affairs
Cultural
Fact Checking
Portfolio
Our vision is to democratise access to fleet technology in emerging markets: LocoNav
LocoNav aims to democratize access to fleet technology in emerging markets by providing affordable and efficient solutions for fleet management. The company leverages IoT and AI to enhance safety, efficiency, and sustainability in the fleet industry. LocoNav's offerings include advanced video telematics, driver safety solutions, and real-time analytics, available in multiple languages. The company is expanding its presence in over 40 countries and has served over 5 million vehicles. The Indian government supports the IT-ITES industry, recognizing its potential for economic growth and employment generation.
What happened to the IBM cloud?
IBM has entered a Strategic Collaboration Agreement with Amazon Web Services to offer its software as SaaS on AWS, enhancing its hybrid cloud strategy. Despite past efforts to build a competitive cloud infrastructure, IBM faced challenges against established players like AWS and Microsoft. The company has undergone several strategic shifts, including the acquisition of SoftLayer and Verizon's cloud services, and the spin-off of its infrastructure services into Kyndryl. Under CEO Arvind Krishna, IBM is now focusing on a unified cloud approach, emphasizing hybrid cloud and AI.
Solving chain of thought problem of AI
Large language models like GPT-3 struggle with multi-step reasoning, as highlighted by NYU professors Gary Marcus and Ernest Davis. Google introduced 'chain of thought prompting' to improve reasoning abilities in models with over 100 billion parameters. This method decomposes complex problems into intermediate steps, mimicking human thought processes. Tested on Google's LaMDA and PaLM models, the technique showed improved performance in arithmetic and commonsense reasoning tasks. Google's Pathways architecture aims to create a single, efficient model that generalizes across domains. Alphabet's CEO, Sunder Pichai, praised LaMDA's conversational capabilities.
Top initiatives taken to overcome Wikipedia challenges
Wikipedia, celebrating its 20th anniversary, faces challenges such as inaccuracies, lack of inclusivity, and a gender gap. The Wikimedia Foundation and other organizations are addressing these issues through various initiatives. Meta has developed an AI tool to create biographical entries for women, especially from marginalized groups. Wikimedia launched a competition on Kaggle to improve image-caption matching. Google released the WIT dataset to enhance Wikipedia's multilingual content. IIT Madras and SuperBloom Studios introduced 'Hidden Voices' to auto-generate biographies of notable women, aiming to reduce the gender data gap.
Popular programming languages for web development
The article discusses the top programming languages for web development, highlighting JavaScript, PHP, HTML, Python, C#, Ruby, and Java. Each language is described in terms of its usage, advantages, and popular websites that utilize them. JavaScript is noted for its interactivity, PHP for server-side scripting, HTML for web page structuring, Python for backend development, C# for its .NET framework compatibility, Ruby for its ease of use, and Java for its cross-platform capabilities.
Top GitHub libraries for building explainable AI models
The article highlights several GitHub libraries designed to enhance the explainability of AI models. These libraries include iModels, Captum, InterpretML, LIME, Alibi Explain, Aequitas, DeepVis Toolbox, and IBM AI Explainability 360. Each library offers unique tools and techniques to make AI models more transparent and interpretable, addressing the black-box problem in AI. The libraries are developed by various institutions, including UC Berkeley, Facebook, Seldon Technologies Limited, the University of Cambridge, and IBM.
How TensorFlow’s MoViNets are solving problems of CNNs in video recognition
TensorFlow's Mobile Video Networks (MoViNets) address the challenges of 3D convolutional neural networks (CNNs) in video recognition by improving computational efficiency and reducing memory usage. MoViNets employ a three-step approach involving a video network search space, the Stream Buffer technique, and ensembling to enhance accuracy without sacrificing efficiency. Trained on the Kinetics-600 dataset, MoViNets can classify 600 human actions in real-time. The architecture leverages causal convolutions and Neural Architecture Search (NAS) to optimize model configurations, achieving state-of-the-art performance on various video action recognition datasets.
The history of machine learning algorithms
Machine learning algorithms have evolved significantly since their inception in the mid-1900s, starting with foundational work by Walter Pitts and Warren McCulloch. Key milestones include Alan Turing's Turing test, Arthur Samuel's checkers program, and Frank Rosenblatt's perceptron. The late 1900s saw advancements like backpropagation, Q-learning, and IBM's Deep Blue. The 2000s introduced convolutional neural networks, with notable achievements like IBM's Watson, Google's object categorization, and Facebook's DeepFace. Recent developments include Deepmind's AlphaGo and AlphaFold, and Waymo's autonomous vehicles.
Yann LeCun resumes war of words with Gary Marcus
The ongoing debate between Gary Marcus, a Neural Science professor at NYU and AI critic, and Yann LeCun, chief AI scientist at Meta, has reignited. Marcus criticized the direction of the AI industry, citing failures in self-driving cars, while LeCun defended deep learning's advancements, highlighting its relevance in fields like radiology. Their exchange included personal jabs and references to past debates, reflecting their long-standing disagreement on AI's future.
DeepMind’s Gato is the Swiss Army Knife of AI models
DeepMind's Gato is a versatile AI model capable of performing multiple tasks across different modalities, including playing Atari, captioning images, chatting, and manipulating objects with a robot arm. Gato uses a transformer neural network to process data from various tasks and environments. Inspired by models like GPT-3, Gopher, and Flamingo, Gato aims to push the boundaries of generalist AI models. Comparatively, Google's Pathways Language Model (PaLM) and Meta AI's data2vec also represent significant advancements in AI, with PaLM excelling in language tasks and data2vec pioneering self-supervised learning across multiple modalities.
Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium
doloremque laudantium,
totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit, sed quia non numquam eius modi tempora incidunt ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima veniam, quis nostrum exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur?
doloremque laudantium,
totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit, sed quia non numquam eius modi tempora incidunt ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima veniam, quis nostrum exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur?
Want to see more portfolio samples?
Sign up to paydesk, it’s free!
Log In
Sign Up
×
Avi's
confirmed information
✓
Financial institution
Verified Mar 2023
✓
Phone number
Verified Mar 2023
✓
Joined
Mar 2023