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Category: robotics/AI – Page 767

IonQ Named to Fast Company’s Third Annual List of the Next Big Things in Tech

IonQ earns spot in the prestigious list of 119 innovative companies for innovation in quantum computing

COLLEGE PARK, Md., November 28, 2023 —(BUSINESS WIRE)— IonQ (NYSE: IONQ), an industry leader in quantum computing, today announced that it has been named to Fast Company’s third annual Next Big Things in Tech list, honoring technology breakthroughs that promise to shape the future of industries—from healthcare and security to artificial intelligence and data. This is IonQ’s first time appearing on the list.

“This recognition is not only a tremendous honor but a testament to the transformative impact and potential of our technology,” said Peter Chapman, President and CEO of IonQ. “IonQ is committed to advancing quantum computing capabilities to drive technological breakthroughs and solve complex business problems across industries. This award fuels our drive to continue pushing boundaries and breaking barriers.”

Analyst Panel Says Take the Quantum Computing Plunge Now…

Should you start exploring quantum computing? Yes, said a panel of analysts convened at Tabor Communications HPC and AI on Wall Street conference earlier this year.

Without doubt, the quantum computing landscape remains murky. Yet in the past ~5 years virtually every aspect of quantum computing has raced forward. At least one 1000-plus-qubit system is edging towards user access now and another is expected by year-end. There’s been a proliferation of software offerings up and down the “quantum stack” though it’s hardly complete. Most promising, what were a few POC use-case explorations has mushroomed into very many efforts across many sectors.

What are we waiting for? Against the backdrop of astonishing progress are also very hard technical problems. Error correction/mitigation tops the list. Effective quantum networking is another. Polished applications. Too many qubit types to choose from (at least for now.) Scale matters – it’s expected that millions of qubits may be needed for practical quantum computing These aren’t trivial challenges. Why bother?

5000-Year-Old Tablets Can Now Be Decoded by Artificial Intelligence, New Research Reveals

A team from Martin Luther University Halle-Wittenberg, Johannes Gutenberg University Mainz, and Mainz University of Applied Sciences has unveiled an AI system capable of deciphering ancient cuneiform texts. This novel technology, leveraging 3D models, represents a significant advancement in understanding one of humanity’s earliest forms of writing.

Published in The Eurographics Association journal, the researchers’ study focused on a set of cuneiform tablets from the Frau Professor Hilprecht Collection. These tablets primarily originate from ancient Mesopotamia, a historical region in present-day Iraq. Often referred to as the cradle of civilization, this area is where some of the earliest human societies developed. These tablets, in particular, are inscribed with a series of symbols, signs, and wedges that form the languages of the region, such as Sumerian, Assyrian, and Akkadian.

Many are over 5,000 years old and offer a glimpse into ancient civilizations, covering a wide range of topics from everyday life to legal matters.

OpenAI’s board might have been dysfunctional–but they made the right choice. Their defeat shows that in the battle between AI profits and ethics, it’s no contest

Altman seemed to understand his responsibility to run a viable, enduring organization and keep its employees happy. He was on his way to pulling off a tender offer–a secondary round of investment in AI that would give the company much-needed cash and provide employees with the opportunity to cash out their shares. He also seemed very comfortable engaging in industry-wide issues like regulation and standards. Finding a balance between those activities is part of the work of corporate leaders and perhaps the board felt that Altman failed to find such a balance in the months leading up to his firing.

Microsoft seems to be the most clear-eyed about the interests it must protect: Microsoft’s! By hiring Sam Altman and Greg Brockman (a co-founder and president of OpenAI who resigned from OpenAI in solidarity with Altman), offering to hire more OpenAI staff, and still planning to collaborate with OpenAI, Satya Nadella hedged his bets. He seems to understand that by harnessing both the technological promise of AI, as articulated by OpenAI, and the talent to fulfill that promise, he is protecting Microsoft’s interest, a perspective reinforced by the financial markets’ positive response to his decision to offer Altman a job and further reinforced by his own willingness to support Altman’s return to OpenAI. Nadella acted with the interests of his company and its future at the forefront of his decision-making and he appears to have covered all the bases amidst a rapidly unfolding set of circumstances.

OpenAI employees may not like the board’s dramatic retort that allowing the company to be destroyed would be consistent with the mission–but those board members saw it that way.

Tesla rolls out latest semi-autonomous driving software in the US

Tesla CEO Elon Musk confirmed the company has begun to introduce the latest version of its ‘Full Self-Driving’ (FSD) semi-autonomous software in the US, with its ‘beta’ title – which refers to a product being tested by consumers – to be dropped.

Mr Musk confirmed Tesla employees are the first to experience the new system.

Known as version 12 (or v12), the new FSD could signify a major technological step forward in the industry – allowing the car’s computers to make its own judgements based on what its cameras see, rather than relying on “hard-coded programming”, website Not a Tesla App reports.

AI Inside: Brain Chips Pioneering the Next Leap in Human Evolution

Brain chips are no longer science fiction. They have become a reality and are transforming lives thanks to technological advancements, which allow a computer to decode brain signals, deduce human intentions, and finally enact them directly through a machine.

These systems that are making it possible are called BCI or a brain-computer interface, which studies signals from brain activity. Neuralink is the most well-known company in this field, creating a generalized brain interface to unlock human potential.

But while BCIs have been in development since the 1960s, recent advancements in AI are helping achieve miracles. These advancements have led to significant strides in practical applications, particularly for people with disabilities, showcasing the evolving impact of this technology.

AI Developments Will Speed Up with the Defeat of Anti-Altman Allies

Will AI now move faster and be less controlled?

It seems that the chaotic events of the last week at OpenAI have sped everything up, according to most observers.

Those warning about the risks of AI lost the battle on the drama over the control of 90 billion’s start-up OpenAI as two of the three external board members were replaced, and the outed CEO Sam Altman was reinstated.