Category: AI

Walking just got a turbo boost with “Moonwalkers,” an AI-powered invention by American start-up Shift Robotics. These shoe attachments can increase your walking speed by up to 250%, propelling you at a top speed of 11 km/h, equivalent to the pace of a moving walkway.

Resembling skates but with a vital difference, the “Moonwalkers” won’t leave you careening off balance. Thanks to machine learning algorithms, they synchronize with your steps, halting when you do. They can even lock for stair ascents or descents and automatically adjust speed when going downhill. To engage the brake, lift your right heel and place it down, fully locking the wheels. To resume your brisk pace, unlock them by lifting your right heel in the air and rotating it clockwise while keeping your toe on the ground.

As artificial intelligence (AI) gains prominence, news agencies are exploring its potential in journalism, yet the industry grapples with trust and authenticity issues. The Associated Press (AP) recently outlined its stance on AI, signaling a cautious approach.

AP affirmed that it won’t use AI to create publishable content or images but will continue to experiment with the technology. This stance reflects concerns about audience trust in AI-generated news.

Conversely, Newsquest Media Group’s job listing for an “AI-assisted reporter” underscores a more open embrace of AI. The role involves using AI to create national, local, and hyper-local content while integrating AI-generated material into newsrooms. This mirrors the industry’s division regarding AI’s role in news creation, with specific courses now available to train journalists in AI implementation.

NVIDIA has unveiled a groundbreaking initiative in collaboration with the world’s top system manufacturers. This venture aims to deliver AI-ready servers capable of supporting the VMware Private AI Foundation, further empowered by NVIDIA’s state-of-the-art technology. These servers are poised to enable companies to tailor and deploy generative AI applications that harness the power of their proprietary business data.

The NVIDIA AI-ready servers will encompass a robust lineup, featuring NVIDIA L40S GPUs, NVIDIA BlueField-3 DPUs, and NVIDIA AI Enterprise software. This comprehensive package empowers enterprises to finely tune generative AI foundation models and seamlessly deploy applications like intelligent chatbots, advanced search engines, and summarization tools. Moreover, these servers provide the essential NVIDIA-accelerated infrastructure and software to fuel VMware Private AI Foundation with NVIDIA.

Proteins, often envisioned as static 3D structures, are far from being rigid sculptures. In reality, many proteins possess the remarkable ability to transform, altering their shapes to meet specific biological demands. Some configurations can transmit harmful signals during events like strokes or heart attacks, while others act as safeguards, limiting the molecular fallout. Essentially, proteins function as biological transistors, governing the body’s molecular “computer” that responds to internal and external cues. Scientists have long explored these shape-shifting proteins to unravel the mysteries of our physiological processes.

But what if we could engineer entirely novel biological “transistors” from scratch, independent of nature’s constraints? This question has led to the intersection of artificial intelligence and biology, marking a profound shift in our understanding of proteins and their potential applications.

Meta, the technology conglomerate formerly known as Facebook, has introduced its latest innovation – SeamlessM4T, a revolutionary multimodal AI model designed for speech and text translations. This neural network boasts the unique ability to process both audio and text, enabling it to perform a range of translation tasks including text-to-speech, speech-to-text, speech-to-speech, and text-to-text conversions for over 100 languages. The primary aim of SeamlessM4T is to facilitate more effective communication between individuals who speak different languages.

In a move consistent with its relatively open approach to AI, Meta is releasing SeamlessM4T under a research license (CC BY-NC 4.0), allowing developers to build upon its framework. Alongside this, Meta is also introducing SeamlessAlign, which the company proudly claims is “the largest open multimodal translation dataset to date, encompassing a staggering 270,000 hours of mined speech and text alignments.” This comprehensive dataset is poised to jumpstart the training of future translation AI models by researchers outside of Meta.

ChatGPT, the AI marvel that has captured attention since its launch in November 2022, has left an indelible mark on the world with its astonishing ability to engage in human-like conversations through language processing. From crafting expertly worded cover letters to penning rap lyrics rivaling Drake’s, this AI chatbot has left jaws dropped in awe. But as its capabilities continue to unfold, the question arises: Could ChatGPT extend its reach into the realm of health and wellness, possibly serving as a virtual personal trainer? Fitness experts seem to think it has potential.

Lee Mitchell, a certified personal trainer, sees value in using ChatGPT for fitness guidance. Imagine you’re new to the gym and feel overwhelmed; ChatGPT could break down basic exercises, suggest beginner-friendly workout routines, and even help keep your spirits up. It’s like having a 24/7 fitness buddy in your pocket, ready to answer questions or offer encouragement whenever you need it.

Researchers at the Odisha University of Technology and Research in India have achieved a significant breakthrough by developing an artificial intelligence (AI)-powered model for direct current (DC) electric motors fueled by photovoltaic arrays. These innovative motors operate without the need for grid-based charging, offering a sustainable and independent power solution. The applications of such solar-powered electric motors span from home appliances to industrial operations, and even electric vehicles, as reported by IEEE Spectrum.

Advancing Clean Energy Adoption Solar-powered electric motors present an opportunity to transition electrical devices to cleaner energy sources while reducing dependency on the grid. Typically, this setup requires a battery to store excess energy generated by solar cells, ensuring power availability during periods of limited sunlight. Traditional DC motors have exhibited energy efficiencies of up to 80 percent in real-world applications. However, through the integration of AI-optimized solar arrays, the Indian researchers managed to achieve efficiency levels of up to 88 percent. Furthermore, the team enhanced efficiency by introducing a regenerative braking system. This innovation allows the motor’s battery to recharge using energy recovered during braking.

ElevenLabs, a startup known for its AI-driven voice generation technology, has stepped out of its beta phase, unveiling a groundbreaking multilingual deep-learning model called Eleven Multilingual v2. This advanced model supports 30 languages, offering a powerful text-to-speech and voice-cloning solution that maintains the speaker’s unique voice attributes across all languages.

The startup’s platform, previously used for narrating audiobooks and enhancing content accessibility, has faced challenges related to misuse, as it has been exploited to create fabricated audio of public figures. The expansion aims to harness the platform’s capabilities for positive applications while simultaneously curbing misuse.

Generative AI models, exemplified by innovations like ChatGPT, have demonstrated remarkable proficiency in technical tasks such as coding and writing. This efficiency has led to concerns about potential job displacement. However, a recent IBM study asserts that rather than fearing this technology, individuals should harness it to their advantage.

The IBM report delves into the influence of AI on business models, particularly its role in shaping company operations and impacting job roles. Drawing insights from two comprehensive studies—one surveying 3,000 C-level executives across 28 countries and the other encompassing 21,000 workers in 22 nations—the report highlights the transformative potential of AI in the workforce and business landscape.

Following a decade of intensive research, scientists have achieved a remarkable feat by using artificial intelligence (AI) to recreate a song based on brain recordings, providing insight into the underlying meaning behind brain waves. This pioneering effort, led by UC Berkeley neurologist and psychology professor Robert Knight, marks a significant advancement in our understanding of brain activity interpretation.

In the groundbreaking study, which has garnered attention for its published results in the journal PLOS Biology, 29 participants were connected to over 2,600 intracranial electroencephalography (iEEG) nodes at Albany Medical Center in New York. While listening to Pink Floyd’s “Another Brick in the Wall Pt. 1,” scientists honed in on the auditory processing center of the brain, specifically the superior temporal gyrus located just behind and above the ears. This precise placement yielded the most accurate data, which was then subjected to AI-driven analysis.

Aug X, a pioneering tech company, has introduced Augie, an innovative AI-powered video creation platform featuring a groundbreaking voice cloning capability. This new feature eliminates the need for recording studios, allowing users to incorporate customized narration into their videos effortlessly.

In collaboration with ElevenLabs, Aug X has developed a user-friendly tool that enables individuals to record their own voice or that of someone else and clone it for use in various short videos. Augie is specifically tailored to cater to marketers and social media teams, streamlining the process of adding narration, images, text, and music to videos without requiring in-depth audio and video editing skills.

Artists have been engaged in a steadfast campaign against artificial intelligence (AI) technology, contending that it diminishes their artistic work and jeopardizes their livelihoods. This clash between creativity and AI has ignited a debate centered on ethical concerns, as artists grapple with the reproduction of their styles by machine learning algorithms. However, the legal battleground remains uncharted, with AI companies continuing their operations despite artist objections.

While some initial legal rulings have surfaced, including the determination that entirely AI-generated creations cannot be copyrighted, the broader question of the legality surrounding AI platforms trained on human art without compensation or credit remains unresolved. This legal gray area has led to a significant class-action lawsuit filed in California, highlighting the contentious relationship between AI, artists, and copyright law.