Impact and opportunity surfaced as the dominant theme of a full day of Digital Hollywood sessions devoted to artificial intelligence at CES 2024. We are in a period of disruption similar to the early 90s when the Internet went mainstream, said Forbes columnist Charlie Fink, moderating a panel of industry leaders from CAA, Paramount, HTC, Nvidia and Google. Yet despite the transformation already underway, panelists agreed that this is neither the first nor last technology to shift the status quo, more the latest example of inevitable change and adjustment. The current conversations around AI at CES are a refreshing departure after a few years of evolutionary, not revolutionary tech confabs. Continue reading CES: Digital Hollywood Session Explores AI at Inflection Point

Generative AI has become a buzzword in the business community, resulting in 65 percent of executives in a recent KPMG survey saying they believe the technology will have a high or extremely high impact on their organization in the next three to five years. Yet most say they are unprepared for immediate adoption, with 60 percent estimating they are 12 to 24 months from implementing their first generative AI solution. Fewer than half of respondents say they have the right technology, talent, and governance in place to successfully implement generative AI. Continue reading Enterprise Anticipates AI Impact but Few Execs Are Prepared

After many years of academia leading the way in the development of artificial intelligence, the tides have shifted and industry has taken over, according to the 2023 AI Index, a report created by Stanford University with help from companies including Google, Anthropic and Hugging Face. “In 2022, there were 32 significant industry-produced machine learning models compared to just three produced by academia,” the report says. The shift in influence is attributed mainly to the large resource demands — in staff, computing power and training data — required to create state of the art AI systems. Continue reading Report: Enterprise Supplants Academia as Driving Force of AI

LinkedIn’s experiments on users have drawn scrutiny from a new study that says the platform may have crossed a line into “social engineering.” The tests, over five years from 2015 to 2019, involved changing the “People You May Know” algorithm to alternate between weak and strong contacts when recommending new connections. Affecting an estimated 20 million users, the test was designed to collect insight to improve the Microsoft-owned platform’s performance, but may have impacted people’s career opportunities. The study was co-authored by researchers at LinkedIn, Harvard Business School, MIT and Stanford and appeared this month in Science. Continue reading LinkedIn Test Raises Ethics Questions Over Parsing Big Data

OpenAI has released a new open source AI speech recognition model called Whisper that can recognize and translate audio at levels it says compare in accuracy and robustness to human abilities. Case uses include transcription of speeches, interviews, podcasts and conversations. “Moreover, it enables transcription in multiple languages, as well as translation from those languages into English,” says OpenAI, which is open-sourcing models and inference code on GitHub “to serve as a foundation for building useful applications and for further research on robust speech processing.” Continue reading OpenAI Rolls Out Open-Source Speech Recognition System

OpenAI’s natural language processing (NLP) model GPT-3 offers 175 billion parameters, compared with its predecessor, GPT-2’s mere 1.5 billion parameters. The result of GPT-3’s immense size has enabled it to generate human-like text based on only a few examples of a task. Now, many users have gained access to the API, and the result has been some interesting use cases and applications. But the ecosystem is still nascent and how it matures — or whether it’s superseded by another NLP model — remains to be seen. Continue reading GPT-3: New Applications Developed for OpenAI’s NLP Model

The new iPhone X offers several new features, but none of them more innovative than the neural engine that is part of Apple’s new A11 Bionic SoC processor. Artificial neural networks, which excel at processing images and speech, are behind the phone’s ability to recognize the user’s face to unlock it, transfer facial expressions onto Animoji (animated emoji), and other, as-of-yet unspecified features. As Apple moves into augmented reality and image recognition, the neural engine will likely be central to these endeavors. Continue reading Apple’s Innovative Chips Ready to Lead in AR, AI, Wearables

In a case involving Lexmark International, which makes ink cartridges for its printers, the U.S. Supreme Court has ruled that the company could not avail itself of patent law to prevent others from refilling and selling the cartridges. In doing so, the court made a decision that will positively impact consumers who will no longer be forced to buy products only from the original source. With the ruling, vendors of refurbished, repaired or resold products, will be protected from copyright infringement charges. Continue reading Supreme Court Rules That Patent Laws Don’t Cover Resales

Palo Alto-based startup Eonite Perception has developed its Vantage Head Tracker, next-generation VR headset software that uses “inside-out-tracking” technology to track the user’s position and movements without external sensors or cameras. Founded in 2015 by Youssri Helmy, currently the company’s chief executive, and Stanford University computer vision experts Anna Petrovskaya and Peter Varvak, Eonite’s technology is quite different from current VR headsets. Helmy notes that the startup’s tech mimics how human perception works. Continue reading Eonite Perception Debuts VR Headset with Inside-Out Tracking

Image recognition, or computer vision, is the foundation of new opportunities in everything from automotive to advertising. Its growing importance is such that the upcoming LDV Vision Summit, an annual conference on visual technology, is now in its third year. Computer vision has expanded through trends that have benefited other forms of AI, including open source, deep learning technology, easier programming tools and faster, cheaper computing, opening up opportunities for a wide range of businesses. Continue reading Image Recognition Tech Paving the Way for Future Advances

Up until now, “zero rating” has been a gray area in net neutrality, but Verizon’s recent action might force the FCC to clarify its stance. Zero rating means that an Internet provider allows certain video and/or music streams to not count against a subscriber’s data cap. Verizon just confirmed that it has applied zero-rating to its new go90 service, thus giving itself preferential treatment and putting competitors such as Netflix, YouTube and other streaming services at a disadvantage. Continue reading Verizon’s Zero-Rating for Go90 Likely to Spur FCC Response

If CES is any indication, Google now has plenty of new competitors in the race to develop driverless cars. For example, Toyota is building an artificial intelligence company to work on the technology necessary for automated driving and Ford is increasing its testing of self-driving Ford Fusion sedans. Meanwhile, General Motors has partnered with Israeli company Mobileye NV to begin installing a camera on cars that will help collect data to create the detailed maps needed to make autonomous driving possible. Continue reading Manufacturers Committed to Developing Autonomous Vehicles

Facebook, Google and numerous startups are among those actively researching new possibilities with artificial intelligence technology. Japanese automaker Toyota is joining the crusade with a five-year, $1 billion R&D effort. The planned Silicon Valley facility will become one of the largest research labs in the area. Toyota Research Institute will initially open a lab next to Stanford and an additional facility near MIT in Cambridge. Toyota’s plans represent a shift in tech research — a return to a focus on science and engineering rather than a push for tech that would become a specific product or service. Continue reading Toyota Invests $1 Billion in Planned Return to Traditional R&D

Augmented reality systems with technology that overlays digital interfaces onto the physical world may eventually edge out virtual reality and significantly impact human perception. While VR products such as Oculus Rift, Gear VR and HTC’s Vive get closer to launch, timelines for augmented reality devices such as Microsoft’s HoloLens and Google-backed Magic Leap remain vague. However, some believe AR is more likely to become integrated into our everyday activities and subsequently affect the way we interact, work and communicate. Continue reading Augmented Reality on Track to Transform Our Everyday Lives

A study commissioned by Facebook found that the social network currently accounts for $227 billion in global economic impact and has helped create 4.5 million jobs. The company claims that its social network drives smartphone purchases and creates job in both tech and non-tech industries. However, independent economists believe those numbers may be overstated because Facebook and Deloitte, the company that prepared the report, may have used incorrect assumptions. Continue reading Economists Question Claims of Facebook Global Impact Study