At the Consumer Electronics Show (CES) 2023, Sony showcased a brief look of the metaverse experience that the company is building in partnership with the football club Manchester City.
According to a press release, Sony and Manchester City call this metaverse experience a “proof of concept” (PoC). This special experience will enable players to participate in activities or events with their own custom avatars at a virtual version of the team’s Etihad Stadium.
In an official video posted by Sony, one can see virtual avatars running around the stadium field, dancing and celebrating together. A senior product planner at Sony, Nami Iwamoto, said that avatars, 3D images, and other expressions, which are unique to the metaverse, will allow players to communicate in a new way.
Another video by the company explained how Sony used only seven sensors to record volumetric data and footage of Manchester City players to recreate them in this metaverse space digitally.
According to Sony’s spokesperson Yo Kikuchi, the app will be released this year. However, it is still unclear whether the virtual stadium, avatar creation, and highlights will be included in that application.
The partnership was first announced in November of 2021. At the time, both Manchester City and Sony used the term metaverse to address the initiative and described the effort as a PoC.
GoogleAI has introduced a novel text-to-image synthesizing model, Muse, using a masked image modeling approach with generative transformers. Muse is trained on a masked modeling task in discrete token space using the text embedding derived from a pre-trained large language model (LLM).
Generative image models have advanced significantly over the past few years because of novel training methods and improved deep learning architectures. As a result, many image generation models like DALL-E 2, Midjourney, and Stable Diffusion have been developed. But with Muse, Google takes the technology a step further.
Muse comprises several sub-models, like the VQGAN tokenizer model for encoding and decoding, a base masked image model to predict marginal distributions of tokens, and a superres transformer model to transform low-resolution into high-resolution with T5-XXL embeddings.
Since Muse employs discrete tokens and needs fewer sample iterations than pixel-space diffusion models like Imagen and DALL-E 2, it claims to be more efficient. The model iteratively resamples image tokens based on a language prompt to produce a zero-shot, mask-free editing for free.
The researchers trained multiple Muse models with varying sizes between 632M to 3B parameters. Muse uses parallel decoding architecture, combining several decoded bits to accomplish an instruction. Due to this architecture, Muse outperforms Parti, an autoregressive model. The researchers also claim that Muse is approximately 10 times faster at inference than Imagen 3B or Parti 3B models.
Per the PartiPrompts assessment, Muse generates images better related to the text prompt at least 2.7 times more accurately than Stable Diffusion, as it can generate images using nouns, adjectives, verbs, and other parts of speech.
Statistics is the crucial component of data science that helps data science learners to capture and convert data patterns into meaningful insights. Data scientists perform statistics to gather, review, analyze, and draw conclusions from data. Consequently, gaining expertise in statistics is essential for data scientists to obtain accurate insights into the data. This article provides an overview of some of the crucial and widely used books for statistics in data science so that you can improve your knowledge of statistics.
Statistics books for data science
Listed below are some essential and most-read statistics books for data science that are available on Amazon.
New Advances in Statistics and Data Science
Written by Ding-Geng Chen, Zhezhen Jin, Gang Li, Yi Li, and Yichua Zhao, The New Advances in Statistics and Data Science book is a collection of selected papers from the 4th ICSA-Canada Chapter Symposium. It also includes the invited articles from established researchers in the field of statistics and data science.
The book covers various topics like methodology development in data science, methodology in the analysis of high dimensional data, features screening in ultra high dimensional data, statistical analysis challenges in sampling, and multivariate survival models. With this book, you can use frontier research methods to tackle research, education, training, consultancy, and more problems.
Published in March 2019, The Art of Statistics: Learning from Data by Professor David Spiegelhalter provides readers with essential principles needed to derive knowledge from the data. He has used real-life problems in the book to explain conceptual topics and determine how statistics can be applied to make important decisions. Students who want to use statistics to solve or analyze real-life problems can use this book.
The Art of Statistics is one of Professor’s David best-selling books and has been published in more than 11 languages. Professor David is the Chairperson of the Winton Center for Risk and Evidence Communication in the Center for Mathematics Sciences at the University of Cambridge. He was appointed as the President of the Royal Statistical Society in 2017-2018 and became a Non-Executive Director of the UK Statistics Authority in 2020.
Naked Statistics: Stripping the Dread from the Data
The Naked Statistics: Stripping the Dread from the Data book by Charles Wheelan mainly focuses on the underlying intuition behind statistical analysis while moving away from the technicalities.
The author Wheelan highlights concepts such as regression analysis, inference, and correlation. He teaches how data can be manipulated and interpreted by third parties and how it can be explored by data scientists to answer difficult questions.
Naked Statistics is the best book for people who believe in learning by understanding intuition rather than mathematical theories. It is the perfect book in data science for statistics and probability.
Written by Peter Bruce and Andrew Bruce, Practical Statistics for Data Scientists is one of the best books for data science. It explains how to apply various statistical methods while avoiding mistakes.
This book’s authors explain how exploratory data analysis is the initial step in data science. They have then covered essential topics such as regression, classification methods, random sampling, principles of experimental designs, and some machine learning techniques that can be learned from data.
This book gives you the statistical perspective that you need to perform the duties of a data scientist effectively. If you have a basic knowledge of R programming language, this book is the best for data science statistics.
The Computer Age Statistical Inteferce is a book by Bradley Efron and Trevor Hastie that explores the data analysis and data science revolution with classical inferential Bayesian, Fisherian, and Frequentist theories.
It guides you on the theories behind machine learning algorithms with in-depth explanations and use-case examples on spam data. This book also covers hypothesis testing, deep learning, empirical Bayes, machine learning, the jackknife and bootstrap, inference after model selection, and Markov chain Monte Carlo.
Computer Age Statistical Inference is divided into Classical Statistical Inference, Early Computer-Age Methods, and Twenty-First-Century Topics. It is a great book that explains statistical analysis’s algorithmic and inferential aspects.
High-Dimensional Probability: An Introduction With Applications In Data Science
The High-Dimensional Probability: An Introduction with Applications in Data Science by Roman Vershynin book provides meaningful insights into the behavior of random metrics, random vectors, random subspaces, and objects to identify uncertainty in data. This book is excellent in presenting modern tools of high dimensional geometry and probability in an application-oriented manner with many informative exercises.
This book provides an overview of applications in mathematics, statistics, signal processing, optimization, theoretical computer science, and more. The author has integrated theories, essential tools, and modern applications of high dimensional probability in this book.
Probability, Statistics, and Data: A Fresh Approach Using R
Written by Darrin Speegle and Bryan Clair, Probability, Statistics, and Data: A Fresh Approach Using R book provides a fresh approach to calculus-based probability and statistics using R. With this book, you can learn probability through Monte Carlo simulation. In this book, simulation finds answers to difficult probability questions. This book consists of calculus-based mathematical approaches that are connected to experimental computations.
Due to R and simulation in this book, you can get an idea of statistical inference. There are fifty-two datasets included in this book with complementary R package fosdata. Most of these datasets are borrowed from recently published papers to make you work with the current data. In this book, two chapters use powerful tidyverse tools like ggplot2, dplyr, tidyr, and stringr for wrangling data and producing meaningful visualizations.
Statistics 101: From Data Analysis to Predictive Modeling to Measuring Distribution and Determining Probability, Your essential guide to Statistics
Published in December 2018, Statistics 101 by David Borman is a comprehensive guide to statistics that guides readers on collecting, measuring, analyzing, and presenting statistical data. David Borman provides you with the basics of statistics that are very simple to understand and apply in real-life examples.
With Statistics 101, you can learn probability theories and different distribution concepts to identify data patterns and graphs presenting precise findings. The Statistics 101 book is suitable for students looking to improve their statistical skills and also for professionals to understand how statistics works in businesses.
David Borman is a working professional at Deutsche bank, TCM Custom House, Morgan Stanley, Phillip Capital, and Merril Lynch. He is into trading mutual funds, stocks, Commodities, and Derivatives. He has worked with the Risk Management Desk of a Singapore Based Future Commission Merchant.
By Gareth James, Daniela Written, Robert Tibshirani, and Trevor Hastie, An Introduction to Statistical Learning give a feasible overview of statistics with examples and applications. This book covers classification, regression, resampling, support vector machines, clustering, and tree-based methods.
An Introduction to Statistical Learning uses an R programming language to implement statistics concepts. Whether you are a technical person or not, this book helps you to understand different statistical methods to analyze data. Therefore, An Introduction to Statistical Learning is the best book for statistics in data science.
Statistics without Tears: An introduction for non-mathematicians
Statistics without Tears: An introduction for non-mathematicians was published in July 2018. Written by Derek Rowntree, Statistics without Tears is the perfect book for beginners that explains how statistics work with diagrams.
The book consists of simple concepts of statistics, such as dispersion, correlation, and normal distribution, with relevant examples. The author clearly explains the intuitions behind the statistics concepts in simple words. Derek Rowntree has spent most of his working life in education. He was appointed as the founding member of the Open University and helped students to overcome the challenges of open learning and distance education.
Elements of Statistical Engineering: Data Mining, Inference, and Prediction, Second Edition
The Elements of Statistical Engineering by Trevor Hastie, Jerome Friedman, and Robert Tibshirani describes the key ideas in a wide range of fields like finance, medicine, biology, and marketing in a common conceptual framework. The approach in this book is statistical but focuses more on concepts rather than mathematics.
The book contains many examples with liberal use of color graphics and is a valuable resource for many data scientists. It covers many topics, from supervised machine learning to unsupervised learning, including support vector machines, classification methods, neural networks, and more.
Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors in statistics at Standford University. Authors Hastie and Tibshirani have developed additive models and written popular books about them. Hastie has also co-developed many statistical modeling software and environment in R/S-PLUS.
The week witnessed many new announcements as the world entered 2023 with enthusiasm. The year began with the CES tech event happening in Las Vegas, featuring many recent technological developments. Additionally, there have been many announcements on blockchain-based projects, like Turkey’s blockchain-driven identification initiative for public services. The week also witnessed other updates like NVIDIA’s early access program and Microsoft’s plans to bring ChatGPT-like technology to its search engine Bing.
Here are some Top AI News of The Week [January 6, 2023]:-
Smart AI Stroller by Glüxkind
Canada-based Glüxkind Technologies presented an AI-driven smart stroller Ella at the CES 2023 tech event in Las Vegas. Ella was developed to support new parents on their everyday walks, be more inclusive, and promote family time. Parents and caregivers can take leisurely strolls on any terrain, including inclines, even when they are completely loaded with toys and groceries. Parents can turn on Ella’s clever hands-free strolling when their child wants to take a short stroll outside the stroller.
As per CEO Kevin Huang, with Ella, the company wants to “embolden parents to explore and create their own paths on their parenting journey and be the best parents they can be.”
The Universal AI University: India’s 1st AI University
In close proximity to its campus in Karjat, Mumbai, the Universal Business School has established the first AI university in the country, the Universal AI University. It will offer degree programs in AI and ML, liberal arts and humanities, design, law, sports, management, and a few other fields, making it a top university for artificial intelligence. Numerous tech-focused corporations, including Tata Capital, NSE, L&T, Wipro, Xiaomi, etc., have visited the campus and are willing to assist with collaborations, hiring, and placements.
The announcement was made by Bharat Puri (MD of Pidilite Industries) and Arundhati Bhattacharya (CEO and Chairperson of Salesforce), claiming that the AI university aims to encourage students to get education on AI and promote AI-driven skill development.
PyTorch Gets Compromised with Malicious Dependency
Recently, PyTorch discovered a supply-chain intrusion that could have resulted in people downloading a tainted PyTorch dependency in a malicious attack. The team wrote a warning note informing developers to reinstall the torchtriton package (an internal dependency) as it was uploaded maliciously in the PyPI repository. The team wrote, “This malicious package has the same name, torchtriton but added in code that uploads sensitive data from the machine.”
The guy who is allegedly responsible for this incident said that his activities were a part of an ethical study. He later admitted his wrongdoing and expressed regret to all impacted developers.
Microsoft Plans to Bring ChatGPT-like Technology to Bing
Microsoft plans to release a version of its search engine Bing that uses ChatGPT-powered artificial intelligence (AI) technology in March. For many years, Microsoft and OpenAI have been collaborating on this integration. In 2019, Microsoft engaged in a partnership with OpenAI with a US$1 billion investment. The recent Bing announcement was reported by some internal sources that are yet unnamed, and if it turns out to be accurate, then Bing could result in more human-like answers than other search engines.
NVIDIA Releases Early Access for its Omniverse Avatar Cloud Engine
NVIDIA reveals the Omniverse Avatar Cloud Engine (ACE) early access program. It allows developers and teams to create avatars and virtual assistants to improve business application workflows. The Omniverse ACE is a comprehensive suite of cloud-native services that simplify creating and using intelligent virtual assistants and digital humans at scale. The suite provides AI building blocks required to give these assistants intelligence and animations.
The early access program allows developers to experience pre-release versions of ACE services along with 3D animation AI microservices (for third-party avatars), 2D animation AI microservices (for two-dimensional portraits), and text-to-speech microservices with NVIDIA Riva TTS (for natural speech recognition).
Turkey’s Blockchain-driven Digital Identification for Public Services
Turkey intends to employ blockchain technology for online public services login procedures. Turkish individuals will be verified when logging in to E-Devlet, the digital government site used in the country to access various public services. The announcement was made by Fuat Oktay, Turkey’s Vice President, during the Digital Turkey 2023 event. He said that the new login system will be used within the scope of e-wallet management and will revolutionize e-government efforts in the country.
The country started treading the blockchain path in 2019 and announced multiple blockchain technology projects. However, only a few were successful. With this new project, the country aims at enhancing its global position in adapting blockchain and other related technologies.
Cryptosat Launches “Cryptographically-Equipped” Satellite Crypto2, With the Help of SpaceX
A cryptographically-equipped orbiting satellite, Crypto2, has been launched by Cryptosat onboard SpaceX Falcon 9. Cryptosat is a startup that creates satellites with cryptographic building blocks to beam down to Earth. The startup successfully launched its first satellite, Crypto1, last year in May with the help of SpaceX. With the advent of Crypto1, Cryptosat aimed to increase the usability of blockchain applications by providing a physically impenetrable, tamper-proof platform. Additionally, Cryptosat published an API tutorial to educate developers on communicating with Cryptosat’s low earth orbit (LEO). The tutorial was developed with the help of a satellite simulator using the Cryptoim software.
With Crypto2, the startup is moving forward to expand its satellite network. Compared to Crypto1, Crypto2 has 30 times higher computing power. According to Yonatan Winetraub, Cryptosat’s co-founder, “This launch gives us more availability and more powerful specs to support the growing portfolio of use cases in our development pipeline.”
Natural Language Processing (NLP) is an essential component of artificial intelligence that refers to the computer program that can understand human language. NLP approaches are used in businesses to develop smart assistants, email filters, predictive texts, language translations, digital phone calls, data analysis, and text analysis. Due to such developments, business operations are seamlessly performed with NLP. Therefore, there is a requirement for NLP professionals who can simplify business processes. So if you are looking for a reference for NLP, this article will guide you to top ten mainly used NLP books that are readily available on Amazon.
Natural language processing books
Below is the list of the widely read natural language processing books on Amazon.
Practical Natural Language Processing
The Practical Natural Language Processing book is written by Sowmya Vajjala, Anju Gupta, Bodhisattwa Majumder, and Harshit Surana. This is the best book if you want to build, iterate, and scale NLP systems in your business.
The authors of this book guide you through the entire process of building real-world NLP solutions. This book allows you to learn to adapt NLP solutions for social media, healthcare, and retail industries. It also helps you understand NLP’s wide range of problem statements, tasks, and solution approaches.
After reading this book, you can implement and evaluate different NLP applications using deep learning and machine learning methods and modify your NLP solutions based on your business problems. You can also evaluate various algorithms and approaches for NLP product tasks, datasets, and more.
Written by Steven Bird, Edward Loper, and Ewan Klein, Natural Language Processing with Python book introduces natural language processing with Python language. It will teach you to write Python scripts that work with large unstructured text data.
This book contains examples and exercises that help you extract information from unstructured text and identify named entities. With this book, you can also learn to analyze the texts’ linguistic structure and semantic analysis.
This book allows readers to use popular linguistic datasets like treebanks and WordNet. It guides you in gaining practical skills in NLP and the Natural Language Processing Toolkit (NLTK) open-source library. If you want to develop web applications, analyze multilingual news sources, and are curious about knowing how human language works, you can find this book very useful and exciting.
Released in June 2017, Text Mining in R book by Julia Silge and David Robinson allows you to explore text mining techniques with tidytext. Authors have developed the tidytext package to use the tidy principles behind R packages like ggraph and dplyr. This book will teach you how tidytext and other tidy tools in R make text analysis easier.
The authors of this book teach how treating text as data frames allow you to manipulate, summarize and visualize characteristics of texts. It also guides you in integrating natural language processing into effective workflows. It contains practical code examples and data explorations that help you gain real insights from news, literature, and social media.
By reading this book, you can learn to apply the tidytext package to NLP, use sentiment analysis to detect the emotional content of texts, identify essential terms in documents with frequency measurements, use topic modeling to classify document collections into natural groups, and explore relationships between ggraph and dplyr packages.
Introduction to Natural Language Processing by Jacob Eisenstein offers a technical perspective on natural language processing. This book teaches you methods that understand, manipulate and generate human language. It highlights the contemporary data-driven approaches that focus on techniques from supervised and unsupervised machine learning techniques.
The book’s first section teaches you the foundations of machine learning by building a set of tools used for word-based textual analysis. The second section focuses on structured representations of language that include sequences, trees, and graphs. The third section refers to the different approaches for the representation and analysis of linguistic meaning that range from formal logic to neural word embeddings. Lastly, the book’s final section provides chapter-length treatments of three transformative applications of natural language processing information extraction, text generation, and machine translation.
By Li Deng and Yang Liu, Deep Learning in Natural Language Processing describes the art of deep learning research and its applications to NLP tasks like speech recognition, lexical analysis, knowledge graphs, sentiment analysis, social computing, and parsing.
This book covers all the essential tasks and techniques of natural language processing. It consists of an up-to-date and comprehensive survey of deep learning research and its application in natural language processing.
Any undergraduate, postgraduate or post-doctoral researchers, industrial researchers, lecturers, and someone interested in learning deep learning with natural language processing can read this book.
Neural Network Methods in Natural Language Processing
The Neural Network Methods in Natural Language Processing book by Yoav Goldberg and Graeme Hirst highlights the applications of neural network models to natural language data. The book’s initial section covers the basics of supervised machine learning and feed-forward neural networks. It also covers the basics of machine learning and using vector-based instead of symbolic representation for words.
The book also guides you on the computation-graph abstraction that allows you to easily define and train arbitrary neural networks. It also introduces you to the more specialized neural network architecture that consists of 1D convolutional neural networks, conditioned generation models, recurrent neural networks, and attention-based models. These neural network architectures are the backbone behind the algorithms for syntactic parsing, machine translation, and many other applications.
Other essential concepts like tree-shaped neural networks, prospects of multi-task learning, and structured prediction are also explained in this book.
The Taming Text on Natural language processing by Grant S. Ingersoll, Thomas S. Morton, and Drew Farris is the complete guide to work on unstructured texts in real-world examples. It teaches you to organize texts using approaches like proper name recognition, full-text searches, clustering, tagging, summarization, and information extraction. This book explains all the concepts with examples.
You do not need prior statistics or natural language processing knowledge while reading the Taming Text textbook. The examples in this book are in Java language, but you can apply the concepts in any programming language. The book provides an understanding of open-source libraries like Solr and Mahout. It also teaches you to build text-processing applications.
The Natural Language Processing with Java book by Richard M Reese and Ashish Singh Bhatia teaches various approaches for organizing and extracting useful texts from unstructured data using Java. This book guides on popular Java libraries like CoreNLP, OpenNLP, and Mallet.
In this book, you will learn the basics of NLP and how it helps to identify patterns, company names, unique names, and more in sentences. It also teaches you to perform language analysis with the help of Java libraries to gain insights from the sentences. After reading the book, you can perform tasks such as tokenizations, parts of speech, model training, and parsing trees on sentences.
This book also explains statistical machine translation, dialog systems, summarization, complex searches, and supervised unsupervised NLPs.
Written by Hobson Lane, Hannes Hapke, and Cole Howard, Natural Language Processing in Action guides you in creating machines that understand human language with Python programming language. This book explains traditional NLP approaches, including neural networks, modern deep learning algorithms, and generative techniques that can tackle real-life problems like composing texts, extracting dates, and answering free-form questions.
Reading this book requires a basic understanding of deep learning and intermediate Python skills. With this book, you will learn to work with Python libraries like Keras, TensorFlow, scikit-learn, and gensim. You will also learn about the rule-based, data-based NLPs and their practices.
Written by Nitin Indurkhya and Fred J. Damerau, the Handbook of Natural Language Processing highlights tools and techniques for implementing NLP in computer systems. This book is divided into three sections: the first section consists of surveys of classical techniques that include both symbolic and empirical approaches. The section highlights the statistical approaches to natural language processing. In the final section, every chapter describes the specific application class, from Chinese machine translation to information visualizations, biomedical text mining, and more.
This book focuses on practically implementing natural language processing with tools. It consists of chapters like text preprocessing, lexical analysis, semantic analysis, syntactic analysis, and more.
BMW has launched its latest concept car BMW i Vision Dee, which is inspired by the metaverse. The company showcased the concept car at yesterday’s Consumer Electronics Show (CES) in Las Vegas.
Dee, short for Digital Emotional Experience, has digital windscreen displays and a voice interface that will be available in the company’s Neue Classe car models from 2025. BMW also updated its interactive website, “Joytopia,” which features a virtual world to explore and interact with Dee.
Dee has a Head-Up-Display that extends alongside the car’s windscreen to go beyond existing driver assistance and voice control technology. Once activated, the windshield becomes a display panel that features a speedometer and other graphics.
A Mixed Reality slider controls the display, which contains shy-tech sensors where a car’s instrument panel usually is. Working alongside windows that are dimmable, the driver can use the sensors to select various features ranging from augmented-reality projection, analog, and communications, and even enter into a virtual world.
Videos and images of the concept car are inspired by the metaverse, where the display has replaced road pavements with gardens and futuristic buildings. Externally, Dee contains a fusion of both digital and physical elements. In combination with natural language, the tech allows the car to talk to humans and express its emotions with facial expressions through its front grill and headlights.
The car’s exterior surface is made up of e-ink segments and can display up to thirty-two colors. This allows the vehicle’s side windows to project avatar versions of the driver, extending the interior virtual world to the car’s facade.
Consumer Electronics Show (CES) is one of the biggest tech events worldwide, and like every year, it has already begun in Las Vegas. After two years of conducting the show virtually, the event has finally come on the ground to exhibit the best innovative technologies and products. This article sums up some of the top announcements at the consumer electronic show (CES) 2023.
Top Announcements at CES 2023:
Samsung AI-powered TVs
At CES 2023, Samsung introduced a new series of TVs with an AI-powered auto-HDR mode. The company’s Neo QLEDs facilitate Auto HDR Remastering, which Samsung says uses AI deep learning to analyze and apply real-time HDR effects to standard dynamic range content on a scene-by-scene basis. HDR increases the contrast between the darkest blacks and brightest whites a display can produce. The system compares non-HDR content with HDR one and uses machine learning tech to analyze the differences to make the conversion.
LG Artcool Gallery AC
Another announcement at CES came from LG art display-cum-air conditioner. LG’s new Artcool gallery air conditioner features a 27-inch LCD screen capable of displaying photos when synced with the LG ThinQ app. Its shape is metallic rectangular, which makes it more attractive. It also has a dual inverter compressor which, according to the company, uses 70% less power compared to other air conditioners. Moreover, the device operates at low noise levels.
AI Gaming Lights
Govee has introduced the AI Gaming Sync Box Kit at CES 2023 for gamers in pursuit of a more immersive experience. Using AI trained using footage of dozens of different video games, the set-top box syncs Govee-branded smart lights via HDMI and Wi-Fi to whatever games one is playing. One of the 30 lighting effects is triggered for specific in-game achievements and on-screen events. Govee says its AI-based tech solves the issues like slow performance and low color-capture accuracy, typically experienced by lighting sync boxes.
Samsung kicked off CES 2023 with its Bespoke Home smart appliances lineup with a new oven and fridge. The Bespoke AI Oven has an internal camera and various sensors that proactively identify more than 80 dishes and ingredients to enhance cooking settings. It also sends a warning notification if it detects food is burning. The Bespoke AI Oven’s camera can stream a live feed of what is cooking in the oven to streaming platforms like Twitch.
Samsung Bespoke 4-Door Flex
Besides Bespoke AI Oven, Samsung debuted the 4-Door Flex, its newest smart fridge. It has an AI-powered camera that scans food labels to keep track of what is in stock and what is not. Samsung’s previous-gen fridge had the same feature, but the uniqueness of the 4-Door Flex is a larger touchscreen on one of the doors. The Bespoke 4-Door Flex Refrigerator with Family Hub+ offers dynamic features showcased on its 32-inch, bezel-less FHD screen, nearly two times larger than previous models.
LG Wireless OLED TVs
Another announcement from LG at CES 2023 included its entire lineup of the latest OLED televisions for 2023. The most significant addition is a 97-inch OLED TV that’s completely wireless. The 2023 C3, Z3, and G3 OLED TVs have a mode that can automatically detect and refine particular objects, like faces, to have more lifelike and colorful qualities. Another mode called AI Sound Pro attempts to emulate a surrounding sound setup using only the built-in stereo TV speakers.
Bell Pepper Picking Robot
The CES also saw the debut of an advanced bell pepper-picking robot. Developed by a Japanese agritech startup named Agrist, the robot can detect and pick harvest-ready bell peppers even when a thick layer of leaves covers those peppers. The robot can determine each pepper’s position, size, maturity, and clipping point using a combination of computer vision models and cameras trained for different parts of the pepper. The robot moves with the help of suspension wires which can be retrofitted to existing farms, whereas a mechanical arm picks and clips, placing harvested peppers into a collection box.
CZ Smartwatch
Wearable brand Citizen debuted in the AI space this year with its second-gen CZ Smartwatch. The 2023 CZ Smart, which runs on the newest release of Google’s firmware for wearables Wear OS 3, sports what Citizen calls a self-care advisor driven by AI. Leveraging technology from IBM Watson, IBM’s AI research division, in particular, the CZ Smart can determine a wearer’s chronotype after collecting a week’s sleep data to provide tips that help combat fatigue.
Bird Buddy Smart Feeder
Bird Buddy participated in the CES with the latest improved model of its smart feeder that takes photos of bird visitors and sends them to a companion app. The smart feeder is equipped with a high-speed camera. This next-gen Smart Hummingbird Feeder can take pictures and videos of birds with a speed of up to 60 mph. The camera is triggered by motion and sends photos via an AI system which is trained using millions of photos to identify about 1,000 species of birds.
NVIDIA RTX Video Super Resolution
Nvidia is now using AI to upscale old, blurry YouTube videos. During its CES presentation, the company trialed RTX Video Super Resolution, a feature that is coming next month to all the Nvidia 30- and 40-series GPUs. When enabled, it will upscale videos played in Edge and Chrome on a PC to the equivalent of 4K. This feature is similar to the AI upscaling feature that has long been available on the Shield TV and Shield TV Pro. RTX Video Super Resolution, which also sharpens and reduces artifacts in videos, will support any video with a resolution ranging between 360p and 1440p up to a frame rate of 144Hz.
AI-powered Smart Stroller
The Ella smart stroller is a hands-free motorized buggy that uses artificial intelligence to detect obstacles and danger on the pavement. It was developed by a Canadian startup Glüxkind. Having sensors, including cameras, the stroller can drive itself when empty to keep up with parents while they hold their infants. It can stop automatically if it encounters an obstacle. Ella’s motors aid when manually pushing the stroller, thus assisting with inclines and brake automatically when going downhill or stationary. The Ella also features an automatic rock-my-baby feature that can sway the carriage back and forth on the stroller’s wheels, along with a built-in, customizable white noise machine.
Carbon Nanotube Sensors
Debuted at CES 2023, the Carbon nanotube sensors can detect the presence of human tissue when it is up to 20 centimeters away. The sensors were developed by the University of Washington in collaboration with CoMotion. Hyundai will use this technology in cars for gesture-controlled smart devices that are able to detect hand movements and translate them into commands, and gesture-controlled door handles.
Microsoft collaborates with the National Institute of Electronics and Information Technology (NIELIT) to increase access to skills for jobs through CyberShikshaa and Ready4Cybersecurity programs.
According to the partnership, Microsoft and NIELIT will deploy CyberShikshaa and Ready4Cybersecurity programs in 30 NIELIT training centers in Tier 3 and Tier 2 towns with a particular focus on Ladakh, Jammu and Kashmir, and northeast states of India. These programs can be scaled in subsequent years to include cybersecurity training programs in all the training centers of NIELIT.
Dr. Madan Mohan Tripathi, Director General of NIELIT, mentioned that NIELIT is committed to training people for in-demand jobs, specifically in remote areas, to contribute to today’s digital economy. This can enable a robust pool of skilled professionals to protect organizations from cyber-attacks. He also stated that NIELIT’s collaboration with Microsoft will not only train people through the CyberShikshaa and Ready4Cybersecurity programs but will also provide opportunities in terms of employment.
As per the collaboration, nearly 3500 learners will undergo training and receive employment opportunities for in-demand cybersecurity jobs. Besides training, Microsoft will support curriculum content, certifications, and mentor opportunities. It will also collaborate with the Data Security Council of India, ICT Academy, Tata Strive, and Quick Heal Foundation to deploy CyberShikshaa and Ready4Cybersecurity programs.
Hyundai Motors India unveils the Hyundai Pavilion on metaverse space, which is Hyundai Mobility Adventure on the Roblox platform. As per the company, Hyundai Pavilion will go live along with the commencement of the Auto Expo 2023.
The Hyundai Mobility Adventure is Hyundai’s immersive virtual city that will allow customers to experience the thrill of Web 3.0 via Hyundai’s five flagship models, including Ioniq 6, Ioniq 5, Tucson, Nexo, Venue N Line, and enjoy musical events at Hyundai Spotlight.
Chief Operating Officer of Hyundai Motors India stated that the company is delighted to expand its presence on the metaverse for the Auto Expo 2023 by going beyond physical experiences and diving into the future of virtual reality through the path-breaking innovations of Hyundai.
Hyundai Pavilion on metaverse will inaugurate the much-awaited all-electric SUV Hyundai Ioniq 5 for customers to experience its wide range of features. Ioniq 5 will be the company’s first all-electric SUV to be launched on Hyundai Motor Group’s Electric Global Modular Platform (E-GMP), an innovative system for next-generation battery vehicles.
As India is all set for Auto Expo 2023, Hyundai Motors India is geared to showcase the innovative and interactive metaverse experience of the Auto Expo 2023 to the forefront at the Hyundai Mobility Adventure on Roblox.
Over the year-end holidays, Joshua Browder attended a phone call with personnel from Wells Fargo to work through a refund request using DoNotPay’s AI-generated deepfake voice and OpenAI’s GPT.
Over Christmas, @DoNotPay managed to create an AI deepfake clone of my voice. Then, with GPT, we got the bot to phone up Wells Fargo and successfully overturn some wire fees.
This is the perfect use case for AI. Nobody has time to argue on the phone about $12!
Browder is the founder of DoNotPay, a world-first application offering robot lawyers. It is a downloadable mobile application that uses artificial intelligence to assist and provide legal services on a subscription basis.
Browder and a few employees used Resemble.ai to test its capabilities to generate a deepfake AI-voice clone of Browder’s voice and called the Wells Fargo Bank. They used the open-source GPT-J to generate continuous responses about Browder’s checking account during the exchange.
When the deepfake AI-voice bot phoned the bank, Browder had US$46.91 in his account. As directed, the voice then spoke to a banker to get a refund on a wire transfer and managed an entire conversation that was scripted using the latest version of GPT, GPT 3.5.
As seen in the video, the bot successfully overturned the wire fees, indicating that AI has demonstrated that applying AI technologies in such situations and use cases can save time.
