The Latest News in AI

We publish news articles on Forbes, which are copied here for your convenience.  

NIST Ratifies Quantum Safe Algorithms Co-Developed By IBM Research

The National Institute of Standards and Technology (NIST) has confirmed three algorithms co-developed by IBM Research, which are used to protect sensitive infrastructure and data from attacks by bad actors using Quantum Computers to break the existing encryption. As...

Qualcomm Cloud AI 100 Is 3X More Efficient. What’s Missing?

New MLPerf benchmarks lay a solid foundation; now the company needs to finish the job. As the Cambrian Explosion reverberates across the landscape of AI chips, the benchmarking silence of many challengers stands in sharp contrast to their marketing hype. Most are...

Meta Builds World’s Largest AI Supercomputer With NVIDIA For AI Research And Production

There are big implications, for both companies, beyond just bragging rights. Facebook, I mean Meta, has always been one of the industry leaders when it comes to AI research and deployment. The company processes hundreds of trillions (yes, trillions with a “T”) of...

IBM Advances Quantum Dev With More Performance And Qiskit Functions

IBM Qiskit, used to develop quantum circuits, is being augmented with a Quantum Function Catalog, is also being updated to deliver faster performance to speed application development. When Qiskit launched in 2017, the Quantum development tool helped learners and...

The IBM Research AI Hardware Center: Solid Progress, Aggressive Goals

IBM AI acceleration technologies are becoming so good, most AI chip companies would be better off licensing core AI tech from IBM. Creating and using massive AI networks is quickly becoming unaffordable: Open.AI’s GPT-3 cost over $12M to train using thousands of GPU’s...

Synopsys Opens The Next Chapter Of AI Tools For Chip Design And Manufacturing

The EDA leader has generated over $500M to date in AI tools and technologies. Now a new data analytics solution applies data management, curation, and analysis across the entire pipeline of chip creation. Synopsys was the first EDA company to apply AI to chip design,...

IBM Research Says Analog AI Will Be 100X More Efficient. Yes, 100X.

IBM AI Hardware Research Center has delivered significant digital AI logic, and now turns their attention to solving AI problems in an entirely new way. Gary Fritz, Cambrian-AI Research Analyst, contributed to this article. AI is showing up in nearly every aspect of...

Is Jensen Huang Nvidia’s Chief Revenue Destruction Officer?

At this year's GTC event in San Jose, Nvidia CEO Jensen Huang held over 25,000 people in the palm of his hand, captivated by his vision of AI and how it could transform the world we live in. Some folks in the audience couldn't keep up and started fiddling with their...

New Cerebras Wafer-Scale Cluster Eliminates Months Of Painstaking Work To Build Massive Intelligence

The architecture eliminates the need to decompose large models for distributed computing to train: Push-button AI? The hottest trend in AI is the emergence of massive models such as Open AI’s GPT-3. These models are surprising even its developers with capabilities...

IBM Research And The Full Stack Approach To Innovation

IBM’s vaunted research organization, one of the largest in the industry, thinks the path to innovation is to be taken as a team with clients and partners exploring the full stack needed to address a business challenge. We had a chance this week to hear how IBM...