OpenAI has abandoned its controversial restructuring plan. In a dramatic reversal, the company said Monday it would no longer try to separate control of its for-profit arm from the non-profit board that currently oversees operations. "We made the decision for the nonprofit to retain control of OpenAI after hearing from civic leaders and engaging in constructive dialogue with the offices of the Attorney General of Delaware and the Attorney General of California," said Bret Taylor, the chairman of OpenAI. OpenAI had originally argued its existing structure would not allow its nonprofit to "easily do more than control the for-profit." It also said it needed more money, a mere two months after securing 6.6 billion in new investment.

Oct 25 - Tesla Inc (TSLA.O) is under criminal investigation in the United States over claims that the company's electric vehicles can drive themselves, three people familiar with the matter said. The U.S. Department of Justice launched the previously undisclosed probe last year following more than a dozen crashes, some of them fatal, involving Tesla's driver assistance system Autopilot, which was activated during the accidents, the people said. As early as 2016, Tesla's marketing materials have touted Autopilot's capabilities. On a conference call that year, Elon Musk, the Silicon Valley automaker's chief executive, described it as "probably better" than a human driver. Last week, Musk said on another call Tesla would soon release an upgraded version of "Full Self-Driving" software allowing customers to travel "to your work, your friend's house, to the grocery store without you touching the wheel."

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - August 3. Join AI and data leaders for insightful talks and exciting networking opportunities. Seventy percent of U.S. consumers want to use AI in their jobs, according to a new Gartner, Inc. survey. In nine categories of work tasks, more workers wanted AI to help than wanted AI to do everything or do nothing. The majority would like AI to help with tasks such as mistake reduction (58%), problem-solving (57%), information discovery and process simplification (both 56%). More than half (57%) of U.S. workers wanted AI to do two or more of those tasks.

In a typically bold statement, Tesla CEO Elon Musk declared earlier this month that his company's vehicles are on the brink of becoming fully autonomous. This raised more than a few doubtful eyebrows, including mine. "I'm extremely confident that Level 5 autonomy, or essentially complete autonomy, will happen, and I think it will happen very quickly," Musk said in a video message to the World Artificial Intelligence Conference in Shanghai. "I remain confident that [Tesla] will have the basic functionality for Level 5 autonomy complete this year." Musk's optimism is commendable and is certainly the kind of spirit that spurs innovation.

Artificial intelligence (AI) is designed to put us out of the picture. Still, we shouldn't fret since a recently published study discovered how humans can be on top of things in systems that rely on AI. The study, carried out by researchers at the Ecole Polytechnique Fédérale de Lausanne (EPFL), explained that while AI will always find ways to bypass human intervention and build an independent solution, operators must look for ways to keep themselves above the machines and prevent them from circumventing human command. The solution that the researchers found was to change the rules midstream: To borrow a psychological term, instead of punishing AI for learning the process and gaining independence, operators opined that they be one step ahead of the machines and keep leading them by moving the proverbial carrot. In AI, machines are programmed to learn from their tasks -- the do an activity, observe what happens, adapt their behavior, and apply it to the next action.

Key Points: – Access to appropriate domain data is the dominant factor in determining speech recognition performance. For this reason, Watson offers a cloud-based API with a general model with the option to customize. This allows the client to maintain control of their critical private and proprietary information. Automatic speech recognition, the ability to identify words and phrases in spoken language and converting them to text in real-time, provides nearly endless opportunities for the humans that use these AI systems, from improving customer satisfaction or enabling remote communication between doctors and patients to improving accessibility for the deaf or the blind. Platforms and applications built on automatic speech recognition are only as good as the system's understanding of language, and the way this understanding is measured. Achieving human parity, meaning an error rate on-par with that of a human listening to two people in conversation, has long remained a significant industry challenge – as has measuring it consistently.