When OpenAI announced GPT-4, its latest large language model, last March, it sent shockwaves through the tech world. It was clearly more capable than anything seen before at chatting, coding, and solving all sorts of thorny problems--including school homework. Anthropic, a rival to OpenAI, announced today that it has made its own AI advance that will upgrade chatbots and other use cases. But although the new model is the world's best by some measures, it's more of a step forward than a big leap. Anthropic's new model, called Claude 3.5 Sonnet, is an upgrade to its existing Claude 3 family of AI models.

Technology has created an ocean of opportunities in the advertising and marketing world as every day, by every minute, there is a new idea, a new innovation happening. Be it the world of artificial intelligence, virtual reality or automation, every day there is something new to be worked with. These tools are even more integral for small-sized businesses and startups who can use them to get the recognition and reach the masses before their competition. But are they using it to their full capacity? We asked a few experts.

So was 2022 the year that advancements in artificial intelligence made the world a much scarier place, or does it just feel that way? Put another way, did I write this introduction, or did a chat bot? Brian Christian is author of the bestselling book "The Alignment Problem," and he's here to help us look back and forward at the impact AI is having on our lives. Good to have you here. SHAPIRO: Well, in addition to everything we just heard about, this was also the year that a piece of art generated by AI won a prize at the Colorado State Fair.

NPR's Ari Shapiro talks with Brian Christian, the author of "The Alignment Problem: Machine Learning and Human Values," about the impact AI is having on our lives.

One of the main challenges in the design of soft robotic grippers is integrating traditional sensors onto the robot's fingers. Ideally, a soft gripper should have what's known as proprioception -- a sense of its own movements and position -- to be able to safely execute varied tasks. However, traditional sensors are rigid and compromise the mechanical characteristics of the soft parts. Moreover, existing soft grippers are usually designed with a single type of proprioceptive sensation; either pressure or finger curvature. To overcome these limitations, scientists at Ritsumeikan University, Japan, have been working on novel soft gripper designs under the lead of Associate Professor Mengying Xie.

The explosion in unstructured data, such as images, videos, sound records, and text, requires an effective solution for computer vision, voice recognition, and natural language processing. How to extract value from unstructured data poses as a big challenge for many enterprises. AI, especially deep learning, has been proved as an effective solution. Vectorization of data features enables people to perform content-based search on unstructured data. For example, you can perform content-based image retrieval, including facial recognition and object detection, etc.

Using big data, machine learning and cognitive intelligence, Mindshare Pakistan has built AI-rich solutions that havetransformed the wayMedia Planning has been done for ages. Mindshare Pakistan, a subsidiary of Group M Pakistan, and owned by the Global WPP network, has been in operation in Pakistan since 1999. With an elaborate and wide array of global and local clients, Mindshare is presently the biggest Media Agency of Pakistan. When it comes to executing innovative ideas, you'd always find Mindshare Pakistan topping the leaderboard. The undisputed leaders of the media world have earned a reputation as the pioneers and trailblazers.

Have you ever read the history of recruitment? No? Let me give you a gist on the history of recruitment which started way back in 1940's. During the World War II, all soldiers were recruited to increase the battalions. The Recruitment process through the years have completely/drastically changed. In today's time technology has taken a big leap towards automating the entire recruitment lifecycle starting from Sourcing a Candidate till Onboarding a candidate.

Sometimes the best place to showcase the potential of a bold, world-changing technology is a flower garden. Take the case of Ofer Dekel, for example. He manages the Machine Learning and Optimization group at Microsoft's research lab in Redmond, Washington. Squirrels often devoured flower bulbs in his garden and seeds from his bird feeder, depriving him and his family of blooms and birdsong. To solve the problem, he trained a computer-vision model to detect squirrels and deployed the code onto a Raspberry Pi 3, an inexpensive, resource-constrained single-board computer.

Deep learning is a subfield of machine learning and it comprises several approaches to tackling the single most important goal of AI research: allowing computers to model our world well enough to exhibit something like what we humans call intelligence. On a basic conceptual level, deep learning approaches share a very basic trait. DL algorithms interpret the raw data through multiple processing layers. Each of these layers takes the output of the previous one as its input and creates a more abstract representation of it. As a result, the more data is being fed into the right algorithm, the more general are the rules and features that it's able to infer in relation to a given scenario and, therefore, the apter it gets at handling new, similar situations.